text:
Reverend John Hale The Crucible Research Project Act 1: Page 39: Here is all the invisible world, caught, defined, and calculated. In these books the Devil stands stripped of all his brute disguises. Here are all your familiar spirits- your incubi and succubi; yor witches that go by land, by air, and by sea; your wizards of the night and of the day. Have no fear now- we shall find him out if he has come among us, and I mean to crush him utterly if he has shown his face!
-This quote perfectly encapsulates what Reverend John Hale is all about. He is a confident, knowledgeable man who pursues his goals with a kind of giddiness. He came to Salem thinking he would be helping the residents, but he soon discovers how wrong he is. Act 2: Page 68: Nonsense! Mister, I have myself examined Tituba, Sarah Good, and numerous others that have confessed to dealing with the Devil. They confessed it!
-Again, shows Hale's confidence, but shows his naiveté as well. He believes that those convicted are guilty, and those who confess honestly mean it. He doesn't for a moment consider that they were lying to save themselves from the gallows. Act 3: Page 99: Excellency, I have signed 72 death warrants; I am a minister of the Lord, and I dare not take a life without there be proof so immaculate no slightest qualm of conscience may doubt it.
-Shows Hale's growing distrust of the court. He has begun to doubt whether the ones he signed to die really deserved it. He dares not take even one more life unless he's absolutely sure of their guilt. Also shows his true desire for justice, he's not looking for glory or to make himself look better, he wants to serve his God. He is one of the few in The Crucible who wants the real truth to come out. Act 4: Page 132: Goody Proctor, I have gone this three month like our Lord into the wilderness. I have sought a Christian way, for damnation's doubled on a minister who counsels men to lie.
-This shows again, another key part of Hale's character. He tries his best to live a true, Christian life. He's not like Parris or Danforth, who compromise just so they don't lose their high positions. Hale does what he believes is right, something that is all too uncommon in The Crucible. Act 4: Page 132: "Let you not mistake your duty as I have mistaken my own. I came into this village like a bridegroom to his beloved, bearing gifts of high religion; the very crowns of holy law I brought, and what I touched with my bright confidence, it died.
-Shows how far Hale has fallen. His confidence is broken, and he is completely disillusioned. He came to help the village with zeal, but now he knows the truth. The court never planned on listening to him in the first place unless it was convenient. Hale mistook why he was brought to Salem, he wasn't a consultant, he was a tool brought in to give credibility to Abigail's mad games. Reverend John Hale was a minister from Beverly best known for his role in the Salem Witch Trials of 1692. Hale was born in Charlestown in 1636 to a local blacksmith Robert Hale.
Growing up, Hale witnessed Massachusetts' first execution of a convicted witch, in 1648, with the hanging of Margaret Jones of Charlestown. Hale studied at Harvard where he ended up earning a theology degree in 1657. After Hales first wife passed he remarried and then soon after went on to serve as a chaplain to the militia during the Massachusetts campaign. Rev. John Hale in The Crucible was much the same man as he was in real life. Not much could be found that was very different. Once Hale returned from the war he became involved in the Salem Witch Trials of 1692 when Salem Village minister Samuel Parris asked him to observe the strange behavior of a group of girls claiming to be tormented by evil spirits. After the Witch Trials ended and his wife Sarah had passed away. He then went on to write a book titled "A Modest Inquiry into the Nature of Witchcraft". This book challenged the accuracies of the Witch Trials. He claimed that the fear that people felt about the Witches made them do and say things that were not true. He claimed that the fear alone made innocent people die.
Hale's death came at the age of 64, in 1702. Hale was buried in his family plot at the Abbott Street Burial Ground in Beverly and his farm at 39 Hale Street later became a museum now known as "The John Hale House." Biography: The Crucible: In Real Life: A puritan minister Knew quite a bit about spiritual things Had a theocracy degree Hale did not believe in the accuracy of the Salem proceedings, and believed he was responsible for the slaughtering of innocent people. We believe that while Hale may not be exactly like how he was in history, Arthur Miller did a good job at interpreting Hale's personality and values from his actions in history. For instance, Hale's disapproval of the trials is historically proven, because of this, and the fact that he's a minister, Miller could safely assume that he was a good person at heart. We also know that the real Hale had a degree in theology, making his knowledge of spirits in The Crucible believable. The interpretation of Hale in The Crucible, we think, is mostly accurate. Accuracy: While in many areas, the Crucible was accurate,
Arthur Miller took some creative license with
various others. For example, it's known in
history that John Hale had a wife, but she is never
mentioned in the Crucible. It should be noted
however, that accuracy was likely not one of
Miller's aims in this story. Miller was trying, first
and foremost, to tell a good story and relate it to
issues in modern life. In the case of John Hale's inaccuracies, it was to more explicitly show that even people with good intentions can cause harm. Our Final Thoughts: Which brings us to... Works Cited: A presentation by: Shelbi Fehlberg
Tues 5-6 Melanie Arneson
Tues 5-6 And Grant Woller
Tues 11-12 On May 10th, 2013 AD For American Literature Hope you enjoyed the presentation! Picture: John-hale-06.jpg. 1996. Photograph. starscolor.com. Web. 9 May 2013. Married twice Single Miller, Arthur. The Crucible. New York, NY: Penguin, 1996. Print.
Present Remotely
Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
The Crucible Research Project: Reverend John Hale
No description
Grant Wolleron 10 May 2013
Comments (0)
Please log in to add your comment.


text:
Hello everyone, this is just a quick announcement to let you know what to do if you see a stray hate week post left in the wild.
1. You can click on the report button (the little ! in the upside down triangle) and that should notify any mod who is on. Just flag it as off topic and a hate week post. Or anything and a hate week post. I promise, this doesn't do anything negative to the person whose post you flag.
2. You can PM me directly.
I really do try to get every post so that no one's thread is left with off topic posts for long (that's part of the reason for Hate Week disclaimers, by the way, we can use the search function!) but sometimes I miss one or two. Or ten. Thank you for your help!
Leader board:
jbobsully11: 17
cmsellers: 4
SandTea: 2
iMURDAu: 1

subset: commoncrawl


text:
Walnut Folding Chairs
You can expect to have the comfort at home for those who have your home that could be cozy and properly designed, from this Walnut Folding Chairs image stock, you can discover a substantial choice of magnificent dwelling type. You should utilize the shots in Walnut Folding Chairs pic collection for the reason that idea to produce a new residence and remodel your current a particular. You can aquire a whole lot of exciting information and facts with Walnut Folding Chairs pic collection very easily, just by mastering the application diligently, you may greatly enhance your know-how. Choose the pattern you love from Walnut Folding Chairs graphic stock, after that put it on to your house. Simply because this particular Walnut Folding Chairs image stock but not only possess a photograph, next people indicate you to ultimately discover the entire stock. You may carry a whole lot of profit from Walnut Folding Chairs image stock, one of that is a very impressive type ideas. By means of what exactly is with Walnut Folding Chairs photograph collection to your house, your personal property will make your guests jealousy.
As noun
the edible nut of trees of the genus Juglans, of the North Temperate Zone
Compare walnut family
the tree itself
the wood of such a tree
Northeastern U
the hickory nut
any of various fruits or trees resembling the walnut
a somewhat reddish shade of brown, as that of the heartwood of the black walnut tree
As verb (used with object)
to bend (cloth, paper, etc
) over upon itself
to bring into a compact form by bending and laying parts together (often followed by up):to fold up a map; to fold one's legs under oneself
to bring (the arms, hands, etc
) together in an intertwined or crossed manner; clasp; cross:He folded his arms on his chest
to bend or wind (usually followed by about, round, etc
):to fold one's arms about a person's neck
to bring (the wings) close to the body, as a bird on alighting
to enclose; wrap; envelop:to fold something in paper
to embrace or clasp; enfold:to fold someone in one's arms
to place (one's cards) facedown so as to withdraw from the play
to bring to an end; close up:The owner decided to fold the business and retire
As verb (used without object)
to be folded or be capable of folding:The doors fold back
to place one's cards facedown so as to withdraw from the play
to fail in business; be forced to close:The newspaper folded after years
to yield or give in:Dad folded and said we could go after all
As noun
a part that is folded; pleat; layer:folds of cloth
a crease made by folding:He cut the paper along the fold
a hollow made by folding:to carry something in the fold of one's dress
a hollow place in undulating ground:a fold of the mountains
a portion of strata that is folded or bent, as an anticline or syncline, or that connects two horizontal or parallel portions of strata of different levels (as a monocline)
the line formed along the horizontal center of a standard-sized newspaper when it is folded after printing
a rough-and-ready dividing line, especially on the front page and other principal pages, between stories of primary and lesser importance
a coil of a serpent, string, etc
the act of folding or doubling over
a margin or ridge formed by the folding of a membrane or other flat body part; plica
As Verb phrases
fold in, Cookery
to mix in or add (an ingredient) by gently turning one part over another:Fold in the egg whites
fold up, Informal
to break down; collapse: He folded up when the prosecutor discredited his story
to fail, especially to go out of business
As noun
a seat, especially for one person, usually having four legs for support and a rest for the back and often having rests for the arms
something that serves as a chair or supports like a chair:The two men clasped hands to make a chair for their injured companion
a seat of office or authority
a position of authority, as of a judge, professor, etc
the person occupying a seat of office, especially the chairperson of a meeting:The speaker addressed the chair
(in an orchestra) the position of a player, assigned by rank; desk:first clarinet chair
the chair, Informal
electric chair
sedan chair
(in reinforced-concrete construction) a device for maintaining the position of reinforcing rods or strands during the pouring operation
a glassmaker's bench having extended arms on which a blowpipe is rolled in shaping glass
British Railroads
a metal block for supporting a rail and securing it to a crosstie or the like
As verb (used with object)
to place or seat in a chair
to install in office
to preside over; act as chairperson of:to chair a committee
to carry (a hero or victor) aloft in triumph
As verb (used without object)
to preside over a meeting, committee, etc
As Idioms
get the chair, to be sentenced to die in the electric chair
take the chair, to begin or open a meeting
to preside at a meeting; act as chairperson
Exactly like Walnut Folding Chairs pic collection shows, you need to focus on every last element carried out from home cautiously. Type, size and additionally placement of this installation are some of the vital factors for you to get a nice property like within Walnut Folding Chairs graphic stock. It is also possible to save that photos from Walnut Folding Chairs photo stock and this also web site to add to your own useful resource. Walnut Folding Chairs photograph stock will only supply graphics with high quality and additionally small to medium sized file size, consequently a sensational scene to help be worried about a to choose from room or space within your hard disk. For families who want to take pleasure in the thrill involving coming up with your office, figuring out Walnut Folding Chairs graphic collection together with employ the elements to your house is a rather pleasurable element. Walnut Folding Chairs photograph stock is incredibly preferred for families who want to get hold of innovative ways to prettify your property. Ever again, explore that Walnut Folding Chairs photo collection and enjoy that.
Walnut Folding Chairs Images Collection
Similar Pictures of Walnut Folding Chairs
- No post to show
Popular Posts
- cado furniture
Res: 1500 x 1500
Size: 132 KB
- furniture consignment annapolis
Res: 1000 x 1000
Size: 154 KB
- buffet table display ideas
Res: 3264 x 2448
Size: 1368 KB
- bar stools and tables
Res: 700 x 700
Size: 67 KB
- coastal style table runners
Res: 736 x 1103
Size: 147 KB
- stiga instaplay table tennis table
Res: 1800 x 1092
Size: 117 KB
- bathroom chandelier
Res: 540 x 721
Size: 76 KB
- bathroom standing shelf
Res: 524 x 640
Size: 63 KB
- bathroom remodel stores
Res: 1058 x 1587
Size: 154 KB
Featured Posts
- No post to show


text:
The mass calving of nearly two million wildebeests in the Northern National Parks and surrounding areas, is said to breed a deadly virus which infects and actually kills domesticated animals within a short time.
"The 'Malignant Catarrhal Fever Virus' are produced by the female wildebeests when they give birth and the mucous liquids trickling from their wombs in the process, contain the MCF Herpes Virus which affect mostly cattle, causing blindness to the animals and eventually killing them," stated Dr Julius Keyyu the Director of Research at the Tanzania Wildlife Research Institute in Arusha.
Wildebeests form the legendary annual migration of large mammals covering Ngorongoro, Serengeti and Kenya's Maasai Mara between the months of January and March, they gather on the southern parts of the steppe to breed.
The breeding areas coincidentally border populated villages of Simanjiro, Ngorongoro and Meatu in Manyara, Arusha and Simiyu regions whose residents are mostly nomadic pastoralists from Maasai and Sukuma communities and keep large herds of cattle.
A calf just delivered in the wild.
Tourists capturing with their cameras wildebeest migration in the Serengeti.
"The wildebeests just produce the virus but are not infected by them, but once the calving tissues flow onto the grazing grass and get consumed by domestic animals, especially cattle, these get infected," explained Dr Felix Lankester a researcher from the 'Global School of Animal Health.'
For the last three years, the Arusha-based TAWIRI in association with the University of Glasgow and University of Nottingham as well as the Moredun research Institute in the United Kingdom, have been researching into the MCF virus.
The MCF Herpes, deadly as they are do not have a cure nor is there a vaccine and the researchers now want to develop a locally produced vaccine to combat the infections.
Dr Mosses Ole Nasselle from the Simanjiro Conservation Development Trust pointed out that, the MCF is not a new thing because similar infections used to be detected on domestic cattle even in the past but there used to be 'escape hatches' then.
"The population was not high, so whenever the wildebeests come to calve nearby, people would migrate with their livestock elsewhere because there was still ample land, but now there is nowhere to go because the land has been taken by farmers, investors and even for residential purpose," said Dr Nasselle.
As the result, the cattle are forced to share grazing grounds with wildebeests even during the latter's breeding time thus being compelled to eat the infected grass and eventually dying from the virus.
Beach Holidays
7 Days Zanzibar Beach Holiday
Northern Circuit
Bilila Lodge Kempinski
Northern Circuit
Ngorongoro Crater
Car Rentals
Car Hire


text:
Chicago, IL Voices for Creative Nonviolence
Message Organization: Voices for Creative Nonviolence
|Enter the sum: 25 + 19 = (What is this?)
Tell A Friend
|Enter the sum: 25 + 19 = (What is this?)
Voices for Creative Nonviolence has deep, long-standing roots in active nonviolent resistance to U.S. war-making. Begun in the summer of 2005, Voices draws upon the experiences of those who challenged the brutal economic sanctions imposed by the U.S. and U.N. against the Iraqi people between 1990 and 2003. Voices participants rely on and have learned from experiences of those who have engaged in active nonviolent resistance to military might in the U.S. using such forms as draft resistance; resistance to the wars in Latin America; and resistance to nuclear weapons, including the Plowshares resistance efforts. Voices draws upon the lessons gleaned from active participation in peace teams in Haiti, Yugoslavia and Iraq.
We recognize that for several years now the U.S. has stood on the precipice of all out devastation-of itself and of the world. We look to history as a guide-and try to learn lessons from those who preceded us in far more dire circumstances, who somehow found the ability to form communities of resistance to oppression in Nazi Germany, in apartheid South Africa, in the Jim Crow South of the U.S. and in the super segregated cities of the North.
We ask-what is the appropriate response of a citizenry in a country which has committed unspeakable crimes against a people? Several hundred thousand Iraqis died as a consequence of economic sanctions. Tens, if not hundreds, of thousands continue to die as a consequence of the U.S. occupation of Iraq. Nearly 300,000 Iraqi children under the age of 5 suffer acute malnutrition-when will they die?
The U.S. has adopted the doctrine of "pre-emptive" military action. No longer must Congress approve a war before one is begun and waged. No longer must an imminent threat-however loosely defined that may ever have been-exist before war begins. The U.S. has arrogated to itself the role of Enforcer against the rest of the world.
We are on the precipice of a full blown world war-if one is not already under way. And we ask: what must our response be? And our answer-as tentative, grappling, searching and seeking though it may be-is that it falls upon us as citizens of the country initiating this world war to utilize all nonviolent means available to us-to engage the electoral and legislative process, most definitely. To protest, of course, and to march and demonstrate.
But we must also move from protest to active nonviolent resistance. We must withdraw our collaboration and complicity with this system and use our bodies and lives as a means to bring the machinery of death to a grinding halt. Nonviolence, nonviolent action and nonviolent resistance cannot be a single day event-it must be a commitment we make and act upon every day of our lives.
Tags: Afghanistan/Pakistan Iraq War Middle East/Asia Peace & Peacemaking
» Click here to return to the Organization list.


text:
Interpreting Below Seismic Tuning using Multi-Attribute Seismic Analysis
An excerpt:
The SOM, or the self-organizing maps, employ the values from these different attributes and looks at the patterns and clusters that they form. We look at these on a sample-by-sample basis, which is very important, very significant in this overall process. What this allows us to do is to do a thin bed analysis and we're not hampered by the traditional frequency and amplitude of the wavelet resolution limitations.
So one of the principals in self-organizing maps that enable us to try to see thin beds is that it is unsupervised. SOM's are an artificial neural network employing unsupervised learning methods. That's very important that it is unsupervised. There is no previous training on anything ahead of time.
A SOM is nothing but a cluster or a pattern recognition approach. So what it does is it looks at all the information from these attributes and something we call attribute space. It identifies any sorts of natural patterns or clusters that develop. Again, we identify these different patterns or clusters with something we call neurons. The reason we do this is that these patterns or clusters, depending on the seismic attributes that you're employing, have geologic significance. We are seeing tremendous detail with these SOM analyses and this thin bed analysis. If we can look at this with numerous attributes, then we can start to see thin beds that are not limited by the conventional thinking of amplitudes and frequencies.
SOM Analysis to Further Visualize Thin Beds
A Webinar by Rocky Roden, Geophysical Insights
December 2016
Full Presentation Text...
Well, good morning. This is Hal Green, I manage marketing for Geophysical Insights. We are pleased to welcome you all to the webinar on interpreting below seismic tuning using multi-attribute seismic analysis. Before we get started with Rocky's talk today, I'd like to just cover a couple of procedural items that will help us through this webinar.
Please note in your webinar controls, which should be on the right hand side of your screen, you have a question box that looks like what is on the screen currently. This will be the best way to submit your questions which we do encourage. Unfortunately it is not practical to take the questions verbally, owing to the large number of participants at various locations across the US and Canada. To ensure the best audio experience for everyone involved, we would respectfully request that you use the dialogue box that is on the screen. Again, it is in your webinar controls. Just expand that and type in your questions. Rocky, at the end of the presentation, will read the question aloud and respond. Note the particular slide and we are happy to go back to that slide to respond to questions if needed.
Now a note about our featured speaker, who many of you already know. Rocky Roden has extensive knowledge of modern geoscience technical approaches and is the past chairman of The Leading Edge editorial board. As former chief geophysicist, and director of applied technology for Repsol YPF, his leadership role included advising corporate officers, geoscientists, and managers on interpretation, strategy, and technical analysis for exploration and development in the US, Argentina, Spain, Egypt, Bolivia, Ecuador, Peru, Brazil, Venezuela, Malaysia, and Indonesia.
He has been involved in the technical and economic evaluation of Gulf of Mexico lease sales, farmouts worldwide, and bid rounds in South America, Europe, and the Far East. Rocky's previous work experience includes exploration and development at Maxus Energy, Pogo Producing, Decca Survey, and Texaco. He holds a B.S. in Oceanographic Technology-Geology from Lamar University and an M.S. in Geological and Geophysical Oceanography from Texas A&M University. We want to welcome Rocky Roden to our webinar. At this point we are going to turn over controls to Rocky and we will begin.
Good morning. I want to welcome everybody this morning to this presentation. Before I start I'd like to ask a question of you to think about during this presentation. Over the last fifteen years what significant advancements have we seen in seismic acquisition, processing, and interpretation? I would argue that in acquisition we have multi-azimuth acquisition, we have broad band acquisition, and we have pretty sophisticated source receiver arrays. In processing of course our depth migration algorithms have improved greatly over the last 15 years. Broad band processing. But in seismic interpretation, what significant advancements have we seen?
We certainly have more computer power. Our visualization is dramatically better than it has been. But we still pick peaks, troughs, and zero crossing. Fundamentally, don't we do the same thing from an interpretation perspective? I invite you to think about this as we go through this presentation.
Now when we talk about seismic interpretation and we're looking at tuning thickness, the conventional definition of tuning thickness, or vertical resolution as indicated by Sheriff in his dictionary, is a bed that is a quarter wavelength in thickness for which reflections from the top and the bottom, interfere.
This interference pattern is constructive where the contrasts of the two interfaces are of opposite polarity. Of course this produces a very strong amplitude. This is seen in this particular display here. We see a wedge model and this is all fundamental information of geophysics which we've known for years. We see the top and the bottom of a wedge. You take the absolute value of those amplitudes, sum them together and you see the plot of the normalized amplitude. Of course the time separation doesn't change what you get below tuning.
Well, many years ago, Meckel and Nath, Neidell and Poggiagliolmi, and Schramm et al., will use this amplitude below tuning, this normalized amplitude below tuning, and scale that to come up with some sort of a thickness estimate based on scaling this information.
In fact, this has been used for many years. Now a little bit later, Brown et al in 1984 and 1985, they produces a series of cross plots of thickness vs. composite amplitude, again, determining an amplitude scalar to hopefully get a little bit more accurate calculation of net pay below tuning.
Connolly in 2007, actually used band-limited impedance through colored inversion for thin bed determination. Again, they would, using this inversion data, generate a scalar to try to make some computations on below tuning or thin bed computations.
So there have been various techniques in the industry, but as Rob Simm indicated a few years ago, these approaches have limitations and require assumptions that may not be met all the time. For example, these assumptions assume that the thickness is the only thing that is happening below tuning and that no reservoir parameters or properties are changing. Which may or may not be accurate.
So what we need is some sort of an approach that can image thin beds that goes beyond conventional amplitude, frequency, and impedance approaches and scaling approaches which we've used in the past. So what we are going to talk about is a multi attribute approach which uses numerous seismic attributes that exhibit below tuning effects.
So when we combine these in a machine learning approach, we can get a better idea, a more accurate depiction of thin beds. Not only thin beds but the stratigraphy that is related to those thin beds.
We are going to be talking about instantaneous attributes. But years ago, Taner, Koehler, and Sheriff, in 1979, kind of wrote the definitive paper on attributes in specifically the complex seismic trace attributes. Where they were computing; the Hilbert Transform, which is basically a 90 degrees phase rotation quite often called the imaginary part or the quadrature, the instantaneous amplitude, envelope, or trace envelope, instantaneous phase and instantaneous frequency, and most of our work stations, regardless of what software you employ, usually can generate these attributes.
They are very fundamental, very basic attributes. They were actually derived from the electronics many years ago.
Now, Taner and Sheriff said in 1977, one way to look at these attributes, or a way to think about these attributes is that the amplitudes that we measure, we generate a source that transmits and reflects, we measure that energy at the surface, that measurement they indicate is really a measure of the kinetic energy. That is what we are measuring. As this wave front passes through the earth, the particle motion for p-waves rocks where the direction is in a propagation that it's going is that the elastic restoring forces, as this is being resisted, that energy can be thought of as potential energy. And that is what they indicate represents the elastic potential energy of this whole system.
So one way to think about this is that the seismic amplitude trace, and then these complex trace attributes, as well as dozens of other attributes that have been derived through the years from these, represents instantaneous attributes that define the kinetic and potential energy of the seismic trace through space and time. Now some of these attributes are very useful and some of them may not be.
But, a different way of looking at it is looking at what they bring to the table in an interpretative perspective and combine them in this machine learning approach that we're going to go over today.
So what's been done in the past on instantaneous attributes as far as identifying phenomena that occur at or below tuning? Well, Robertson and Nogami back in 1984 looked at a wedge model and asked what do you have below tuning that created an increase in frequency, and in fact they called it frequency tuning.
That bottom display there shows you that when you go below tuning that there is an increase in frequency. This same phenomenon was seen by Tirado in 2004. In this particular case it's getting thinner as you go to the left of the tuning thickness.
It is the same sort of phenomenon. You see an increase in frequency when you get below tuning.
So at least with instantaneous frequency, there are some things going on when you get below tuning. Now, Zeng, Radovich, Oliveros, and Hardage took advantage of what they call frequency spikes. What you see on the bottom display on the right is the instantaneous frequency. When you see these white arrows, those were identified as frequency spikes. What this is, is when the instantaneous frequency has a hard time computing because of very thin beds and/or some sort of constructive or interference patterns. On my display on the bottom right, the white arrows represent frequency spikes which are indicative of thin beds by the white arrows and the black arrows show some of the spikes associated with some interference patterns above tuning.
Now, Taner took advantage of this and he developed what he called a thin bed indicator, which is just the difference between the instantaneous and the time averaged frequencies. Taking advantage of this, trying to see these frequency spikes, and relating those to thin beds.
Zeng identified when you did a 90 degrees rotated wavelet, which is quite similar to a Hilbert Transform, and you apply that to a wedge model, when you get to the tuning thickness or below, it's easier to understand the thickness of those beds below tuning as opposed to using a zero phase wavelet which you see in the upper display there.
So people have been using different attributes. They have been trying to see these phenomenon that are occurring.
Another phenomenon that happens at or below tuning, and this is something we will have known for years when we're trying to understand the phase of our data, is if you take for example this wedge model and that bottom display, taking the amplitude envelope of that wedge model. So it is a very simple wedge model with amplitude envelope of the top and bottom of this wedge. Now if you take the peak of that envelope and compute what the instantaneous phase at the peak of those envelopes is, what you'll see is for thick beds you'll get plus or minus 180 degrees at the top. At the bottom it will be zero degrees. But when you get to tuning thickness, the phase will flip to minus 90. If that top reflection was a positive event it would be plus 90. So these are instantaneous phase effects that are occurring as we go from above tuning to below tuning.
Davogustto et al in 2013 identified what he calls phase anomalies and spectral phase and magnitude. And if you'll notice on the right, the three sets of displays here at 15 hertz, 30 hertz, and 70 hertz, on this wedge model you get what he calls phase anomalies. Depending on where that particular phase of that data is.
And then he takes that one step farther and they identify what they call phase discontinuities and he calls phase residues. And you can see these effects, they are above tuning but they are also right at tuning.
So again, these are other sorts of phenomenon that are occurring that we see using different sorts of seismic attributes.
So given that some of the research that's been done in the past, what other sorts of instantaneous attributes exhibit phenomena below tuning? Well, in an effort to try to determine that, I generated my own wedge model. That is a very simple low impedance wedge model and I generated 25 different instantaneous attributes on this wedge model to see what sort of phenomena occur at or below tuning.
I'm going to show a few of these results. Now the first display here is just the convolution of a 5-10-60-90 Hz wavelet with this wedge model. In the upper display is a wiggle trace variable area then the wiggle trace then a color raster display of this.
Tuning thickness for this wedge model is 10 milliseconds for 30 feet.
And in fact you can verify that by the next display which is where I measured the top and the bottom and as you can see, the normalized amplitude or the absolute value of the top and the base of this wedge model, that's where you get the highest amplitude, the maximum constructive interference pattern. So that's the tuning thickness.
Over the next several displays, the dashed line represents the tuning thickness which is 30 feet for this model.
So if you look at the upper display here, which is the envelope, as you can see in this particular example, at the tuning thickness you'll get an increase or a phenomenon happens just before and after you get to the tuning thickness with envelope. Running SOM is the next one which is literally a running Sum and is a pseudo inversion. Again, you can see things happening right before and right after the tuning thickness. The next display is relative acoustic impedance which is the high frequency trend. Again, you see very similar sorts of responses as you did with the running SOM.
The next display is instantaneous phase, the band width, and instantaneous Q. You can start to see some of these phase effects that we were describing earlier, that are happening before you get to the tuning thickness, and you can see what happens as you get closer to the tuning thickness and some of the changes in the responses depending on whatever the scale these particular attributes are on. They are all different scales.
The top one here is the instantaneous frequency and we can see in that display, as we saw by the previous researchers, that you do get an increase of frequency when you get below tuning. The next display is the average energy. You can see what is happening at or below the tuning thickness. The second one is the envelope second derivative, you can see some of the effects that are happening there. So there are phenomena happening near, at, or below tuning thickness.
Now the next 3 are quite dramatic and their responses are below tuning. One is Taner's thin bed indicator we discussed previously. The next one is the dominant frequency and the next one is the instantaneous frequency envelope weighted. So there are some very obvious phenomenon or effects that are happening below tuning on these 3 attributes.
So, through these several sorts of attributes, there are things happening. There are features happening at or below tuning and in the process of looking at these different sorts of attributes, which exhibit these features below tuning, we've looked at applying a self organized map. We call it SOM, which is a non-linear, unsupervised, neural network approach to see if we can understand and unravel how these bed thicknesses relate to these phenomena that are happening below tuning. And we do this in this multi-attribute analysis.
And the way that we do this is the SOM, or the self organizing maps, employ the values from these different attributes and looks at the patterns and clusters that they form. We look at these on a sample by sample basis, which is very important, very significant in this overall process.
What this allows us to do is to do a thin bed analysis and we're not hampered by the traditional frequency and amplitude of the wavelet resolution limitations. And you'll see this as we get into this.
So one of the principals in self organizing maps that enables us to try to see thin beds is that it is unsupervised. SOM's are an artificial neural network employing unsupervised learning methods. That's very important that it is unsupervised. There is no previous training on anything ahead of time.
A SOM is nothing but a cluster or a pattern recognition approach. So what it does is it looks at all the information from these attributes and something we call attribute space, and I'll explain that to you in just a minute. It identifies any sorts of natural patterns or clusters that develop. Again, we identify these different patterns or clusters with something we call neurons. These neurons are nothing more than a point that identifies a pattern or a cluster. I think this will become clearer here in just a minute.
The reason we do this is that these patterns or clusters, depending on the seismic attributes that you're employing, have geologic significance. There is actually a much broader application of this, it's not just thin beds. There are many geological features from stratigraphy to facies to DHI's. It really depends on the attributes that you're using in the particular SOM analysis. In this case, of course, we're looking for thin beds.
A fundamental understanding is that we're looking at every single sample in whatever set of seismic attributes we are employing. In this case I've got 8 seismic attributes. The first one is the amplitude, in the area those were derived or computed and calculated basically from that amplitude. But, all of those other attributes are at very different scales and they are measuring something very different in the over all energy in this particular data that we are looking at from the acoustic response. Every single sample from every one of these attributes is employed. Now the thing to remember is, when we take all this information and put it in attribute space, we normalize or standardize this information. So they are all on the same scale. So the amplitude does not dominate and has no more impact than average energy. Envelope has no more impact than instantaneous frequency. They are all normalized or standardized to the same scale. What we do is we look for any sorts of natural patterns that evolve out of combining all this information.
So the best way, probably, to understand this graphically is in this example here. What you're looking at is a very simple reflection coefficient model. If you look to the left, I have 6 reflection coefficients. One is the top of a high impedance. You can see a positive reflection. The next one is the top of a very low impedance section. We have a trough and a peak but the thing to remember in this particular model is that this is 2 milliseconds thick. This is a sample interval thick here. It's a very thin bed. The next one down is a thin bed with a positive acoustic impedance where you have a positive and a negative response. Again, that is only 2 milliseconds thick. Then at the bottom is a positive reflection coefficient. So if I take a 30 hertz wavelet and apply it to the reflection coefficient model with some noise, you get what we call is the real.
This is the convolution of that wavelet with those reflection coefficients with a little bit of noise added to it. Right next to it is the Hilbert Transform, which is nothing more than a 90 degrees phase rotation. So what we have taken is the real seismic trace at 2 milliseconds sample rate, the Hilbert Transform at 2 millisecond sample rate, take every one of those samples and duplicate each one of those a hundred times so I have a lot more data points and then cross plot them. This is only two attributes and here you can see the real vs. the Hilbert Transform. This is what we call attribute space. Of course for two attributes we can make a 2 dimensional cross block.
You may be able to see, if you had 3 attributes, a 3 dimensional cross plot. But, you go beyond that and we have a hard time seeing beyond 3 dimensions. You start getting into 5 and 10 dimensions, and I just can't see that. Mathematically that's not a difficult issue. So if we look at this cross plot of the real and the Hilbert Transform of these two traces duplicated a hundred times each, that's the pattern that it forms. If you take those data points in attribute space and run a self organizing map on those data points, what you see is what's on the right display. The data points never move in attribute space. The only things that move around the neurons is they move through the data trying to identify the different patterns or clusters in the data.
What you're looking at on the right is the same data now identified by a self organizing map analysis. In this particular case there were 64 neurons that went through this data looking for the patterns. Each pattern is identified by a neuron that is associated by a very specific color, as you can see. And those colors are associated with each of these neurons in this 2D color map. Now, how does that relate back to our model?
Well the next display is that same cross plot with the patterns recognized and identified by the SOM analysis. And now what you're looking at, if you look in the upper part of this particular display, you'll see a cluster of points circled with the number 8. That 8 represents the number 8 neuron in the 2D color map to the left. And that represents the top of that low impedance thin bed on the model on the right.
If you look down in the bottom right portion of this 2D cross plot, you see this cluster of points circled, labeled 55. That is associated with the number 55 neuron in this 2D color map. And if you look at the model, that's the base of that thin bed. You're seeing the top and the base of a 2 millisecond bed in this particular data set. And in fact, if you look at it again, on number 28 on this 2D cross plot, that's the 28th neuron in the 2D color map that relates to the top of the positive impedance thin bed. The 33 in the 2D color map is the base and you can see the other reflection coefficients, 57 and 59, they are identified the same way.
So, if this is with just 2 attributes, this is the methodology that we go through to identify geological features. In this particular case we are looking at thin beds.
Now, with real data and all of the complications and the ways, and issues we have to deal with, probably 2 attributes are going to be very difficult to see these things. But, what we do is go through and run a series of these attributes that produce and exhibit information at and below tuning. So it is very similar to what I just showed you in a very simple model. Say for example we have 10 attributes now. I've got 10 attributes that I want to apply to see if they help me identify thin beds. So if I have a 3D survey, which you're looking at on the left, and I've generated 10 attributes, every single sample point has 10 values because I have 10 attributes. I've generated 10 attributes and if I want to run it over this whole volume, each sample has 10 values, because I have 10 attributes that I've generated from it. So I take all those sample points and I put those in what we call attribute space.
So these 10 attributes with all these samples, are in 10 dimensional space now. So I take all that information and that's when we normalize or standardize the values of all these data points. So all these points now are all in the same scale sitting in attribute space and that is when we run self organizing maps. In this particular case, we're looking for 64 patterns or clusters in the data. Now when you go into this, you may not know how many patterns or clusters there are. We know from experience though, that typically we will run from 3x3, which is about 9 neurons to as many as 12x12 which is 144 neurons. We typically run a whole series of different numbers of neuron in these different matrices because we don't know exactly. It depends on what we're looking at. It's the scale of the feature we're looking at. And of course in this case we are looking for thin beds. So we are probably going to use a lot of neurons to try to identify these thin beds.
So after we've run a self organizing map and it's gone through all these data points in attribute space, we non-linearly map this back to that 2D color map like I showed you in the previous example. So each one of these neurons represents a pattern in the data. It represents a cluster in the data. Some of these neurons and some of these patterns may be noise. Some of these patterns may be showing you geologic features of interest. In this particular case, we're selecting a group of attributes we think can help us see thin beds.
So now I'm going to show you 3 examples that my colleagues have been working on and where they've used multiple attributes using Paradise from Geophysical Insights, to identify these thin bed responses.
This first one is in the Eagle Ford shale. My colleague, Patricia Santogrossi, has done a tremendous amount of work in detail with a tremendous amount of information. It's not normal in a little over a 200 square mile 3D survey that's sampled at 2 milliseconds to have over 300 wells, various pilot holes, horizontal borehole images, and even more importantly, there are 4 cores with x-ray diffraction and saturation information.
So we have a tremendous amount of information to corroborate our results in this particular SOM analysis. Now, in this particular portion of the Eagle Ford shale, the frequency in the Eagle Ford shale, depending on where you are, is about 20 to 27 hertz and the velocities vary a little bit. But the range in the conventional, vertical resolution in this area is about 100 to 150 feet thick, depending on where you are. The sample interval, which is 2 milliseconds is about 10 to 12 feet thick. So that's what we're looking at in this particular data set.
Now what Patricia did is she took a whole series of instantaneous attributes as you see listed on the left there, and she ran a principal component analysis to try to get an understanding of what are the most prominent, the attributes that show the biggest variation of the data. Potentially the most prominent attributes that potentially will show you some thin bed responses.
And what you see here on the right is all the 10 attributes that she ultimately picked. That we ran in the self organizing maps. Now this first display shows you a 100 millisecond window and you can see the top of the Eagle Ford Marl, which is the top of the whole Eagle Ford shale interval. Then the top of the Buda which is basically the base of the Eagle Ford interval. You can see there is a whole lot of variation in these intervals as well as above that in the Austin Chalk.
There are a lot of facies changes. There are a lot of variations going on that potentially mean something, especially from a facies and a stratigraphic variation perspective.
So then what you're looking at now is what the conventional seismic data looks like compared to the results from the SOM analysis. In this particular case she used 64 neurons. Now, the Eagle Ford shale as you can see on the left, in the conventional seismic data, is tied up in this big trough and big peaks. There's not a lot of variation to it. There's not a lot of subtlety to it because all of that is a lot of information and detail going on in there that we just can't see with conventional amplitude data. But look on the right at all the different variations that the neurons are identifying in this interval using those 10 attributes in the SOM analysis.
And as you'll see in the next display, we have these very specific intervals tied into the SOM analysis results. In fact, we're looking at one of the wells here. You can see the top of the low resistivity Eagle Ford shale unit. There's a very thin transitional unit between the low resistivity shale and the higher resistivity Eagle Ford shale below. And then there' s a basal clay rich section below that. And above all this is the Eagle Ford marl and then you get into the Austin Chalk. But look at the details and I'm going to blow this up in just a minute, where these specific events are being identified. And you can't see this in conventional amplitude data. Remember, we are not training this on wells and hoping that whatever I'm training on works in this area. These are the natural patterns, the natural clusters that are in the data based on these attributes in the SOM analysis.
So the next display you're looking at is the same well log, actually, the same SOM analysis vertical seismic display but it's blown up. And I want you to look, there's 2 very important things to see on here. One is this very thin transitional unit between the upper and lower Eagle Ford, which is identified by neuron number 55. That is one sample interval thick. Remember that the Eagle Ford shale and every sample in here varies from about 10 to 12 feet thick. That's what we're seeing right there. We're seeing that number 55, at least at this well location, that little thin unit. And what's even more important, I think, personally is if you look at this dashed white line at the top, what you're looking at is the unconformity between the Eagle Ford Marl and the Austin Chalk. I have worked on numerous projects in the Eagle Ford shale and I have never seen that. I have never seen that unconformity. You can't see that it's embedded somewhere in a zero crossing or a trough in a conventional amplitude data. The details in here are tremendous.
So, this entire area, Patricia has identified 13 different neurons that represent the various facies in the very specific Eagle Ford shale unit which is about 14 milliseconds. 23 different neurons in the whole Eagle Ford group including the basal clay rich shale and the Eagle Ford Marl at the top, which is a roughly 28 millisecond window. And as I showed you previously, we see numerous individual units that are as thin as a sample interval thick. 10-12 feet.
Remember, conventional resolution here is about 100 to 150 feet thick. But, think of the implications of what I just showed you. If I am truly identifying very specific facies below tuning, very thin beds, now we can actually map these thin beds. We can actually see the facies distribution. We are not scaling amplitudes now, we are not scaling inversion, and we are actually seeing the real distribution of facies. Now what you're looking at here on the left is an offset about 12 milliseconds below the Eagle Ford shale and then on the right, you're 16 milliseconds below the top of the Eagle Ford shale. And you can see how this fairway is changing and how the facies are changing and narrowing from the left display to the right display.
So we are not looking at scale data anymore. We are looking at the real facies distribution of these thin beds that we are seeing below tuning. The next example is from my colleague, Deborah Sacrey, who worked in the Pettus Sand in Onshore Texas. She has a 3D pre stack depth migration of volume, however, this is processed to 1 millisecond sample rate. She is looking for some strand line deposits on this little thin Pettus Sand. Conventional tuning thickness here is 45 feet and the sample interval which is 1 millisecond, is about 5 feet thick.
Deborah, when she did this analysis, and trying to determine what might be the important attributes to use to see these thin beds for the SOM analysis, she ran principal component analysis also. She took the top attributes in the first 3 principal components to come up with this list of 7 attributes to run in the analysis.
So what you're looking at here is just the amplitude section in color with a variable area density display overlay on top of it. And what you're looking at in the down dip is a very thin little gas sand that was discovered and produced and a very thin oil sand up dip. Now if you look at that interval on this conventional amplitude data, there's not a whole lot going on in that interval of interest.
Now what Deborah did is she took those 7 attributes, ran a SOM analysis, and used 100 neurons. So she was looking for 100 patterns or natural clusters in the data. And now you can see the extreme detail that we are seeing in this particular geologic setting. And if you look on the right, that well that produced gas, that's where that interval was. This very thin brown neuron has identified this interval with that very thin pay. But the real play here actually was the up dip oil that was in the strand line play and that's exactly what you're seeing here in this up dip event. It's sort of a gold color. It's a very thin oil. You can see the whole strand line distribution there, at least in this vertical section. But there is another separate one just down dip of that.
And remember, when you looked at this on the regular amplitude data, you really don't see anything there. And these are very thin, very subtle facies variations that we are seeing in this particular example.
The next example that I'm going to show you is some more work by Deborah Sacrey looking at the Middle Frio in Texas. There are some very thin sands. 3D pre stack depth migrated data, processed at 2 milliseconds in this particular area. She is looking for bar development.
That is what produces out here in porosity on what's called Alibel Sand. And conventional tuning here is about 200 feet. 2 milliseconds is about 10 foot thickness.
Again, she ran through principal component analysis with this data. She came up with 6 attributes that she determined might be good to show us in the SOM analysis, some thin bed responses.
Now what you're looking at here is an arbitrary line that is kind of in a strike direction. And this is the regular conventional amplitude data. Again, the color raster is the amplitude and then you have a variable area display overlay on top of that. And the Alibel sand that we are looking for is located between this green and black horizon. This very thin interval. Because I have a well here that's perforated that Alibel sand.
Again, not a lot of character in that particular unit. Here she used 64 neurons and now you're looking at the same green and black horizon with Alibel sand in the middle there. You can see the detail in the facies that are coming out now. And this perforation down here is kind of associated with a light blue and I'm going to show you this in more detail in a minute.
A light blue neuron that came out. This is a dip line to that same well. You can see this circle here. This is what it looks like on the conventional amplitude data, this is what it looks like in the SOM analysis with those 64 neurons. And you can see that blue neuron seems to be associated with this perforation interval.
I'm going to show you an expanded version of that. So what you're looking at, right over here, is this very thin, it's a 6 foot perforated interval, in a 10 foot sand. Which fundamentally is one sample thick. You can see how that's distributed across this particular feature.
So now if you look at that and start to map that area to see the distribution of this, that particular well is located right here. Add those two lines that ran through it. That's 6 foot perforated interval that 10 foot sand is located right here. Now you can see the aerial distribution of that bar. These are the bar locations here and there were a few wells down in the south west portion here that were determined to have mechanical failures. Well now in reality now that you see the distribution of this bar, they were either outside the bar or on the very fringes of the bar. And you're seeing so much detail here that if you notice there is probably a little title erosional inlet sitting right there that could potentially be separating this portion of the bar to the southern portion.
So we are seeing tremendous detail with these SOM analysis and this thin bed analysis. So, regardless of the phenomena below tuning on these different attributes, it's a very complicated constructive and destructive wavelet interference patterns that are always going to be evident and present in our data when you start to look at thin beds. These things occur because of the geology, whatever is happening is producing these effects or acoustic responses. But if we can look at this with numerous attributes, then we can start to see thin beds that are not limited by the conventional thinking of amplitudes and frequencies. And this typical scaling of amplitude and inversion data. We can actually see thin beds and look at these very high resolution results from the SOM analyses.
Again, these self organizing maps using these numerous attributes, take advantage of looking at these natural patterns in the data that are produced by these specific seismic attributes. And again, we are not restricted to the frequency of the data for resolution. Our main restriction actually is having decent quality data in the sample interval. The sample interval is what is restricting us here, not the frequency of the data, and not the typical wavelet of the data. It prevents us from seeing a lot of detail in the conventional sense.
SLIDE: 58 [Last slide]
So at the very end here I'd like to repeat what Albert Einstein said. "The definition of insanity is doing the same thing year after year and expecting different results." And I think we are. I think we are seeing something that we are pretty excited about and we've done about 10 to a dozen of these things and we keep getting very encouraging results and we are excited about what we are seeing.
[Questions and answers begin.]
[Hal] Alright I'm afraid we are about 20 minutes after the hour and a couple of questions are still coming in but let me offer those folks that we will respond to them individually after our call. I do want to again thank everyone for participating today and offer contact details should you want to have a copy of the presentation. We would be delighted to send that to you.
Please send me an email at email@example.com. That is also in the invitation to our event today and here is my phone number for your reference, which is likewise in the signature of my email. For those of you who may be interested in test-driving Paradise for 60 days, we offer a free evaluation program. It is a complete commercial license to Paradise. We would be delighted to offer that up for your evaluation on your data and there is some training and consulting that goes with that. There's a wealth of information of course on our website at geoinsights.com and a link to that page will be sent to everyone that's registered. There will be a blog post on the website containing all the good questions that folks have asked without naming the individuals and a brief response from Rocky Roden. That blog post will also allow you to add your own comments. Likewise, please send me a note if you would like a copy of the presentation and the slide deck today. We will be posting those to the Paradise customer portal and I would be delighted to forward a link to the portal with your log in credentials to that. With that, I want to again thank everyone for participating. Lots of great questions and interest across the U.S. and Canada. We will be holding these again in the future in the New Year. I want to wish all of you wonderful holidays and an outstanding New Year. Thanks again.


text:
A New Creature
(July-August 2008)
One of the ways in which the Bible shows itself to be the inspired Word of God is that it deals so plainly and thoroughly with the most important issues facing mankind. Even in a single chapter we may learn much about life, death and beyond.
One of the great portions of the New Testament is Second Corinthians Chapter Five. There the apostle Paul tells us that believers, in common with others, must experience physical death. Our "earthly house" is soon to be "dissolved" (v.1). The tie which binds our body and soul together will one day be loosed and our spirit will return to God who gave it. Yet the prospect does not fill the child of God with fear. Instead, knowing that his sins have been pardoned in the blood of Christ, he "groans" inwardly, longing eagerly and waiting confidently for that day when he shall depart his body and enter his heavenly home, to be present with his beloved Redeemer (vv.2- 8).
Make no mistake, death is to be feared if our sins are not forgiven: "For we must all appear before the judgment seat of Christ; that every one may receive the things done in his body, according to that he hath done, whether it be good or bad" (v.10). It was a knowledge of how fearful is the divine wrath against sin that drove the apostles on in their labours to bring their fellow-sinners to repentance (v.11).
If physically we experience life followed by death then spiritually it is the other way round. We are all born into this world "dead in trespasses and sins" (Eph.2:1). Because His people were "dead" Christ died in order that they might live – live unto Him (vv.14,15). To be truly converted means to be regenerated or made spiritually alive. To such God grants "the earnest of the Spirit" (v.5) as a token that they belong to Jesus Christ and have a title to the heavenly glory.
Regeneration is a work of God. He puts a new principle in the souls of His people whereby they are made holy. This happens through a union with Christ, the Saviour who has life in Himself and quickens whom He will (John 5:21,26). Faith, repentance and indeed all the graces of the Christian spring from the life of regeneration.
True Christians are "new creatures" or new creations (v.17). This indicates a most profound change! Regeneration is like the first creation in a way. It too is performed in conjunction with the word of God: "For God, who commanded the light to shine out of darkness, hath shined in our hearts, to give the light of the knowledge of the glory of God in the face of Jesus Christ" (2Cor.4:6). We remain the same persons of course, we are still flesh and blood creatures, but our souls are renewed. This is essential if we are to enjoy eternal life, for "Except a man be born again, he cannot see the kingdom of God" (John 3:3).
Are all things become new to you? Has the Spirit of God so worked in you that you have the new thoughts, desires, joys and hopes of a believer? Or are you still consumed by the old, weary and worn things of a sinful, passing world? This is the test of whether the gospel has been blessed to us. Seek the Saviour who promises to His own that they shall enjoy a more abundant life – or else you must perish eternally.


text:
Maybe Accepting Guests
- Last login 22 days ago
Join Couchsurfing to see Saloum's full profile. It's free!
About Me
finish my classical singing studies so that i can leave my engineer work forever.
Planting my own vegetables in the garden.
hum...to make short.
I have been working as engineer until 2010, then I create in 2011 with friends and family an NGO to help a school in Gossas (Senegal).
Now still working part-time as engineer, working as volunteer for our NGO, and studying classical singing in Trossingen (Germany)
I had a normal life. A good job, a nice flat, a car, friends...And then I notice, that I don't want this life, I just want to realise my dreams, and I only have one life for it...so I left for travelling. first to Canada, USA, and then Senegal.
Why I'm on Couchsurfing
Surf in Canada in the US and Belgium. Always good experiences.
Sports : volleyball, beach volleyball, hiking, mountain biking, motorbike.
Music : I start to play the violin again after 10 years break. learning the cello and the piano. But my main instrument is my voice. I'm now studying classical singing specialised in "Early Music"
Music, Movies, and Books
City of God, Into the wild, Reservoir Dogs, Inglorious Basterds, From Hell, 21 Grams, Big Fish, Babel, Schindler's List...and much more...
Music :
Classical, or more precisely western art music : especially from renaissance until romanticism: Allegri, Charpentier, Pergolesi, Bach, Handel Purcell, Vivaldi and so forth...
Otherwise almost everything except techno. Aimee Man, Tracy Chapman, Cats Stevens, Aventura.
Book : Of Mice and Men (Steinbeck) and a big Atlas
One Amazing Thing I've Done
Hiking in the Grand-Canyon
Swimming at midnight with fluorescent planktons in Senegal
Countries I've Visited
Belgium, Canada, Croatia, Estonia, Finland, France, Germany, Greece, Italy, Macedonia, Netherlands, Poland, Senegal, Slovenia, Spain, Sweden, United Kingdom, United States
Countries I've Lived In
Canada, France, Germany, Senegal


text:
My apologies for the last post featuring a Government-style excuse. It appears that I was labouring under the misapprehension that all was back to normal inside my head. It wasn't. It was a bit like the DWP telling us that Universal Credit works by showing one JobCentre using it, when in reality its a pile of crap. So, here I am, definitely back to whatever passes for normality and ready to take on the world and whatever crap it decides to throw at me. I just hope it throws gently.
Not a huge amount has actually changed recently. Tracey's little dog, Sophie, passed away a couple of weeks ago. She had a developing lump on her leg which turned out to be a large cyst. Somehow she managed to burst it, leading to blood loss. We took her to the vet who looked at her and told us in no uncertain terms that, due to her age, (she was 15, very old for a Cocker Spaniel bitch), there was no chance of her surviving an operation and she would either bleed to death or have to be put to sleep. We, that is Tracey, reluctantly chose the latter option. We eventually left the vets with a lead, collar and heads full of memories. Neither of us really stopped crying for most of that day, (although I had to try, since I had to drive home).
We're both certain that Sophie, Whiskey and Roxy are all still wondering around the flat, trying to pester us for food or walkies, or maybe just offering us the love they always gave freely. We just get that feeling.
I have started a new job. Finally, after five years, and it's in IT, and its local. Unfortunately it's voluntary, so I don't get paid but, otherwise, it is brilliant. Its a start-up company, based in a large shop in the Galleries shopping centre in Aldershot. The company will be providing low-cost IT services to the local community. These services include sales of 2nd-user machines, repairs, IT advice, basic IT training services, jobsearch help, and much more. Most of the equipment is donated. All of the machines are donated when companies have refresh rollouts. So far, we have the furniture in place, including workshop and repairs, the IT desking, and the "soft suite". We now have the fun job of cleaning & PAT-testing 500+ machines and monitors and then imaging those 500+ machines. We're aiming at an opening date near the end of April, so a lot of work still to do. Despite this being a voluntary job, I'm still treating it as if I'm being paid. I believe in what we are doing, and that everyone in this day and age should be able to have access to basic computer skills and the 'net.
I have said to people, many times, that I enjoy IT so much that I would do it for free if needs be, and here I am, working in IT for free. Many of those people laughed and said I wouldn't. I would just like to ask those people one question: How big a slice of humble pie would you like?


text:
SDR ~ a
solder recycler for the electronic industry
RECOVER 60% of your Solder Alloy
from DROSS
The SDR solder recycler is designed to
capture and process dross for reuse. Dross is a side effect of the solder
process, it requires special handling that is very costly. This unit not only
provides considerable savings but has the added benefit of being right in your
own manufacturing environment.
is primarily used in the electronic industry but has proved, by eliminating
outsourcing, to be very useful in other parts of the tin processing industry
and the need to dispose of alloy waste.
SDR activates the specific weight of the
materials that are to be separated. After a filtering process the reusable
alloy settles in the lower section of the pot; a tap allows drainage into the
ingot moulds (5 slots), whilst the dross floats on the surface and is trapped
in the upper filter.
Environmentally Friendly ~ Qualifies for 100% tax write down
Model : SDR 1
Dross Capacity: 0 ~
10 kg
Power: 240 V Single
Rating: 2000 watts
Dims: 260 x 460 x
630mm Weight: 14 kg ~ Bench Mounted


text:
Barry Comprehensive School are thrilled with a superb performance from their Public Speaking Team who won the first round of the ESU-Churchill Competition last term.
The talented trio consisted of: Mark Williams and Rhys Powell (Year 9) and Daley Chapman (Year 10), who faced tough competition against teams from St Cyres and Westbourne School for a place in the next round.
Rhys Powell, speaking at St Cyres School, confidently shared his view that greed is a destructive and reductive quality for an individual to possess in society today; although, he argued, greed would have once served a purpose for survival.
Miss Thomas, the team's coach said, "Taking part in the ESU-Churchill Public Speaking Competition has been a truly rewarding and enjoyable experience for the students. They are a real credit to the school and we are looking forward to competing in the Regional Finals in March."


text:
Nikolay Advolodkin
CEO at Ultimate QA
About the Instructor
Nikolay Advolodkin is a prolific Automation Test & Quality Assurance Engineer. Currently, he is the CEO and Software Testing Instructor at UltimateQA.com. He has been voted as one of 33 Test Automation Leaders to follow in 2017 by TechBeacon.com. He is also the #1 Selenium Webdriver instructor in the world as rated by Udemy.com.
He is a frequent Contributor for the blog, SimpleProgrammer.com and a speaker at Automation Guild 2017.When he isn't immersed in the realm of coding and all-things QA, Nikolay Advolodkin enjoys self-improvement and aims to hone his vast skill set daily, all while teaching online students how to master automated software testing.
Are you struggling with working with HTML using Selenium WebDriver? Do you know how to easily identify an element using Selenium WebDrriver? Do you know how to manipulate that web element? Do you know to to perform a drag n' drop on an element? If not, then these are just a few of the questions that will be answered in this course.
This course is a complete guide on working with web elements in Selenium WebDriver! Once you are finished with this course, you will know how to work with any web elements, any time, on any web application.
"Relevant content that I will be able to apply to my automation tests *immediately*, a VERY effective presentation approach (evolving the same example and comparing/contrasting), and an excellent teacher / presenter. Thank you so much for your time and sharing your knowledge Nikolay!." -Krissy
What will you learn?
- Basics of HTML
- All the different locator strategies for Selenium WebDriver
- How to identify web elements using Selenium WebDriver
- Master XPath
- Navigation with Selenium WebDriver
- Web element manipulation
- Web element interrogation
- Mouse and keyboard actions with Selenium WebDriver
- Performing actions such as drag n' drop, drawing, hovering
- Implicit and Explicit waits
- How to properly handle element identification so that your tests are not flaky
- Expected Conditions in Selenium WebDriver
Who is the target audience?
- QA Automation Engineer working with Selenium WebDriver
- Any individual seeking to learn Selenium WebDriver and how to work with elements
- Student who wants to drastically improve the stability of their functional test automation
What my students are saying:
"The best tutorials I have ever seen, simply awesome. I take off my hat in front of you, you are an gorgeous professor, I am speechless to express how satisfied I am with these tutorials." -Lisbey
"I've been searching for good Selenium C# videos since December 2014. I've been using the IDE but now it's mandatory that I use webdriver. Just in the past few videos I have been provided with more useful information than I've discovered independently in 23 months. Thank you for creating this series" -Kay
Courses Crafted to Perfection
Every course of mine is crafted with extreme dedication. In fact, my courses are the #1 Selenium Webdriver courses in the world according to Udemy.com. See how this course compares to other Selenium courses.
"This course is exhaustive, yet extremely accessible. The teahing is clear, quick, and simple. The content is enough to get you into the industry." -Student
Changing the World:
I donate 5% of all course sales to imagine1day, which is a global movement that is working to provide free education to all children in Ethiopia.
Course Contents
Course Curriculum
- Brief Course Overview
- Introduction to Element Identification
- Prerequisites and Resources
- All course resources
- Interested??
- Critical Updates To Course
- Updates to the Framework Project
- Element Interactions Getting Started Quiz
- Bonus
- 9-2-introduction to html tags
- 9-3-introduction to html attributes
- 9-4-using selenium webdriver for element identification
- 9-5-selenium ide for object identification
- Course Survey
- 9-6-using an id to identify elements
- 9-7-using an id to identify elements with selenium webdriver
- Congratulations
- 9-8-understanding the webdriver commands
- 9-9-how to use className to identify an element
- 9-10-how to use Name property to identify an element
- 9-11-how to use link text to identify an element in selenium
- 9-12-how to use partial link text to identify an element in selenium
- 9-13-how to use css to identify an element in selenium
- 9-14-how to use absolute xpath to identify an element in selenium
- 9-15-how to use relative xpath to identify an element in selenium
- 9-16-how to use pick any tag from html body
- 9-17-how to use attributes in xpath
- 9-18-how to use special operators in xpath
- 9-19-how to identify a button using xpath
- 9-20-how to figure out if an element contains some text using xpath
- 9-21-how to identify link and icon using xpath
- 9-22-how to identify fields using xpath
- 9-23-how to identify radio buttons using xpath
- 9-24-how to identify radio buttons using index
- 9-25-how to use lists using xpath
- 9-26-working with tabs and toggles
- 9-27-introduction to html tables
- 9-28-how to get an html table in a variable
- 9-29-how to use c# to find a cell value
- 9-30-how to use c# to find all cells in a row
- 9-31-how to use c# to find a value in a cell
- 9-32-how to use c# to find a value in a cell 2
- 9-33-how to use c# to find a value in a cell 3
- 9-34-how to find a table with no id
- 9-35-dom in selenium webdriver
- How to evaluate elements at run time
- Live online training?
- Navigation with Selenium WebDriver
- Navigation quiz
- Navigation quiz answer
- Element manipulation with WebDriver
- How to fill out a form
- Quiz on element manipulation
- Answer to manipulation quiz
- CurrentWindowHandle, WindowHandes, PageSource, Title
- WebDriver URL
- Interrogating IWebElements
- Learning all IWebElement properties
- Element interrogation quiz
- Element interrogation quiz answer
- Conclusions
- 04-How to create an Actions class in Webdriver
- 05-Analyzing our application under test
- 06-Writing the drag and drop test
- 07-Finishing the first drag and drop test
- 08-Executing the first drag and drop test
- 09-Starting to write the 2nd drag and drop example
- 10-Writing a 2nd drag and drop example
- 11-Running a 2nd drag and drop example
- 12-Drag and drop quiz question
- 13-Drag and drop quiz answer
- 14-How to do a resize action with selenium webdriver
- 15-How to open developer tools with selenium webdriver
- 16-Running a test that opens a network tab in firefox
- 17-Drag and drop with html 5 quiz question
- 18-Drag and drop with html 5 answer part 1
- 19-Drag and drop with html 5 answer part 2
- 20-How to draw on a canvas with selenium quiz
- 21-How to draw on a canvas with selenium quiz answer
- 22-Conclusions
- Exam on Mouse and Keyboard Actions
- Quick overview of the topics covered in the Implic and Explicit Waits section


text:
Listen to free music played by thunder1
Blip.fm is internet radio made social. It's easy to search for, play, and discover free music recommended by real people. Join today to create your own free station and start listening to @thunder1.
Lil Wayne – Lollipop ft. Static| play
Feb 17, 2018 at 12:58 pm via YouTube | AMAZON | ITUNES


text:
You all have probably heard about it, but if not, please be on the alert for the "swen" virus. It's more like a Trojan Horse than a regular old virus, so do be careful. It can take down your system in a heartbeat. You can look into it at:
Norton Anti-Virus Information
Please update your virus protection systems as soon as possible to keep your pc's safe, and also this site.
Sleepy time....'nite to one and all.
Swen Virus
Started by Michele, Oct 05 2003 11:42 PM
No replies to this topic
0 user(s) are reading this topic
0 members, 0 guests, 0 anonymous users


text:
How much easier would it be running your business if you knew more about the personalities around you and their behaviourial style?
Have you considered how your behavioural style interacts with others?
Our research tells us that the entrepreneurs that are more aware about themselves, their leadership and management style and how they can get the best from their team, usually see the best results in terms of both profit and effectively building a business.
If you knew more about working preferences related to behaviourial styles and knew how you or others react under pressure, then surely that can only be of benefit to you and the future business success?
Do you or your people like to work at pace, be in control, be optimistic, like a calm surrounding, need to have full details, hate the detail, avoid any conflict etc? You can establish these characteristics with a behaviourial style profile report.
For example, if you do not truly know someones style, how can you manage them, recruit them into the right role and if needed sell to them?
We offer a report and, if desired, a supporting consultation service providing feedback that uses DISC (Dominance, Influence, Steadiness, Compliance) to help you understand your strengths, style and compatibility with others.
Supported by tried and tested reporting methods, we will work with you to identify your behavioural style, impact on others, work strengths, possible limitations, understanding of others and self awareness, which can help develop your behavioural agility.
The awareness and agility gained from this understanding of your basic characteristics will help you recruit, lead, manage and sell most effectively.
All from just a 10 minute commitment of your time.
The method we use will help you understand your basic fear, motivator, value to the organisation, management style, sales style and communication style, whichever role you undertake. We will identify your preferred working style, your current work image and your style under pressure.
Mike Foster, The Entrepreneurs Mentor, is a Personality Profile Assessment Practitioner so we are able to provide the reports and importantly help you use the people behavioual assessments to achieve an immediate impact in your business.
In addition, if you are an employer, then we can also help you recruit, retain, develop and manage your people. We can provide you with an insight into your team, so you know, what motivates them, what are their core strengths and limitations, and what is their potential.
For more details and to establish how behavioural assessments will make a difference to your business, then please contact us
In the video below, you can see what some well known people think about behavioural assessments


text:
Toxic-Asset Rescue Funds Start
Program Designed to Buy Mortgage-Tied Securities Will Launch Next Week
While many investors are focused on the winding down of government programs, one notable piece of the rescue effort is finally ramping up.
Five investment funds that raised $1.94 billion in private capital to purchase troubled assets through the Public Private Investment Partnership can start buying next week. The PPIP, announced by the Treasury back in March, was designed to boost demand for toxic securities backed by residential and commercial mortgage loans....


text:
IsoAcoustics Aperta Support Plates, Pair
Item is available as a recurring order
To automatically re-order this item before you run out, select the recurring order option during checkout.
The Aperta Support Plate can be affixed to any supporting surface to provide a larger surface area for the Aperta stands. These plates can be used to extend the size of the upper supporting surface of floor stands to accommodate the IsoAcoustics Aperta stands. Double-sided tape is provided to fasten the Aperta Support Plate to the supporting material, or the plates can be drilled and bolted into place. Care should be taken to ensure the supporting structure is stable enough to support the stands and speakers.
Suitable for IsoAcoustics Aperta or ISO-L8R155 (sold separately)
From the studio to the stage, Sam Ash Direct has you covered with the latest gear and accessories. With our many decades of experience and efficient order processing, your satisfaction is guaranteed!
Things You Will Get:
Support Plates, Pair
Recommended Accessories
sE Electronics guitaRF Amp Reflexion FilterMSRP:
$249.00Was: $199.00Now: $169.00 Save: $80.00 (32.13%)
Auralex StudioGrid Panel 4 Pack, 16" x 16" x 2", CharcoalMSRP:
$64.99$49.99 Save: $15.00 (23.08%)
Auralex MoPAD-XL™ Monitor Isolation Pads, PairMSRP:
$59.99$49.99 Save: $10.00 (16.67%)
Triad-Orbit ORBIT1 / O1 - Single-arm Orbital BoomMSRP:
$139.00$109.00 Save: $30.00 (21.58%)
Furman M-8x AR Merit Series 15 Amp Voltage RegulatorMSRP:
$699.95$559.00 Save: $140.95 (20.14%)
Primacoustic FlexiBooth Instant Vocal Booth, Grey$449.00
Ultimate Support MS-80B Desktop Monitor Stands, PairMSRP:
$229.99$149.00 Save: $80.99 (35.21%)
Auralex Tubetak Pro Liquid Adhesive$9.99


text:
A closer look at each of the teams coaches predict will be the top dogs in each class this season:
Class A: Beechwood
Key players: Kyle Fieger (Sr. QB), Justin Overstreet (Sr. OL/DL), Brett Slusher (Sr. WR/OLB), Ethan Stringer (Sr. RB), Braden Hermes (Sr. OL/DL), Cameron Way (Sr. WR/DB), Joey Sherron (Sr. OL/DE), Mario German (Sr. K), Lucas Benson (Jr. TE/DE), Trevor Soward (Jr. FB/LB), Riley Burns (Jr. FB/LB).
You oughta know: Beechwood has won 11 titles, tied with Mayfield for fourth most. ... Speaking of Mayfield, the Tigers should be happy to see Mayfield move up to 2A: the school ended its season five of the past six years. ... Games at Somerset (Sept. 4) and at home against Covington Catholic (Sept. 18) and Newport Central Catholic (Oct. 30) highlight their schedule.
Coach Noel Rash says: "We must be patient and focus on the development of young players to help surround this small but talented senior class. None of that will matter if we don't have the mental toughness needed to carry us through each week. We must develop a tough and nasty approach to each practice and every Friday night. This team has to master the grind, especially in the trenches."
Class 2A: Mayfield
Key players: Brentley Adams (Sr. OL/DL), Landon Arnett (Jr. QB), Trajon Bright (Jr. RB), Johnny Hernandez (Sr. OL/LB), Charles Jackson (Sr. OL/DL) Lane Kennemore (Sr. WR/DB), Jaime Tapia (Jr. S), Nick Workman (Jr. LB)
You oughta know: The Cardinals won the previous three Class A state championships and own 11 overall. ... Mayfield must replace its entire offensive line from a year ago. ... No one in Class A rushed for more total yards than Trajon Bright last season (1,885). ... Back-to-back games at home against McCracken County (Sept. 11) and Graves County (Sept. 18) should be good indicators of where this year's edition of the Cards is.
Coach Joe Morris says: "People ask me, 'Is that gonna be a problem for you?' (moving to 2A). We're not treating it as a problem, we're treating it as a challenge. It's a new challenge for us. and we know it's not gonna be easy. But we won three state championships in a row in Class A, and they hadn't been easy either. Beechwood ain't no slouch. Williamsburg, they ain't no slouch. ... I think our kids know what it's gonna take."
Class 3A: Belfry
Key players: Cole Bentley (Jr. TE/DL), Cameron Catron (Jr. RB/DB), Noah Corbett (Jr. QB), Austin Dotson (Jr. OL), TJ Dotson (Sr. SE/DE), Austin Gibbs (Sr. OL), Rayquan Horton (Jr. DE), Jordan Scott (Jr. OL), Xondre Willis (Sr. RB)
You oughta know: Belfry Coach Philip Haywood is the state's all-time wins leader at 389. The earliest possible date Haywood could reach win No. 400 would be Nov. 6 in the first round of the playoffs. ... If the Pirates win a title this season, they would be the first team from the mountains to claim three in a row since Pikeville did it from 1987 through 1989. ... Belfry has appeared in five straight championship games.
Coach Philip Haywood says: "I haven't really thought about it (reaching 400 wins). You just kinda go out and go through your season, and what happens will happen. With our schedule, you better not be thinking about things like that. ... It's never really been about me. I've just been fortunate to be around a lot of good players, good coaches and good programs."
Class 4A: John Hardin
Key players: Jerome Dingle (Sr. OG/LB), Stephen Kaiser (Sr. OT/DT), Thomas Lloyd (Sr. S), Thomas Rogers (Jr. TE/DE), Robert Shorter (Jr. RB), Shay Stone (Sr. QB), Warren Tucker (Sr. OG/LB), Trevon Wright (Jr. TE/ILB)
You oughta know: While the Bulldogs have never broken through and claimed a trophy, they have made the state semifinals seven straight seasons. ... They reached the Class 5A title game in 2009, falling 35-7 to Highlands ... They have reached at least the second round every year since 2005. John Hardin first fielded a team in 2001. ... ACL injuries to three players contributed to the Bulldogs' 1-5 start last season.
Coach Chad Lewis says: "We have a very tough opening schedule and we may come out of that stint 3-3. At the same time, we may be one of the best 4A teams in the state of Kentucky, but our record could be .500 because of the level of competition that we'll be playing. ... There's definitely going to be a bull's-eye on our back, and our guys understand that."
Class 5A: Highlands
Key players: Austin Beal (Sr. DB), Mitchell Cain (Sr. WR), Bo Hebel (Sr. OL), Nick Kendall (Sr. RB), Evan Richardson (Sr. OL/DL), Austin Hergott (Sr. QB), Luke Lindeman (Sr. LB), Grant Murray (Sr. RB), Jared Pulsfort (Jr. RB)
You oughta know: The Bluebirds return to Class 5A this season. They won the first four 5A titles before dropping to 4A. ... Hergott, a two-star pro-style quarterback, is committed to Central Michigan. ... Highlands will debut a new-look stadium in its home opener against Campbell County on Aug. 28.
Coach Brian Weinrich says: "If we were going from single A to 6A we'd be really worried because of numbers. but we have 98 on our roster right now. So we are in good shape to be able to compete with teams that two-platoon 'cause that's what we did six years ago. I don't see it as being a major issue."
Class 6A: Trinity
Key players: Rodjay Burns (Sr. DB), Bryan Colvin (Sr. C), Connor Carrico (Sr. WR), Damon Lowe (Sr. LB), Michael Hiestand (Sr. OT), Dalton Jones (Sr. WR), Max Martin (Sr. OT/OG), Jalen Reed (Sr. RB), Will O'Rourke (Sr. OG), Jacob Woosley (Sr. QB).
You oughta know: The Shamrocks own 23 state championships, tied with Highlands for most in state history. ... Since the new class system began in 2007, the only season Trinity did not reach the 6A title game was 2013. That year they were knocked out in the regional championship by Male. ... The "super district" featuring Trinity, St. X and Male is no more. Trinity is in District 3
Coach Bob Beatty says: "You can see the togetherness in this group," he told The Courier-Journal. "They're not a complainer group. They just get after you."
|(Last year's record in parentheses)
|Class 6A
|1. Trinity (10-5)
|The Shamrocks have donned all but two 6A crowns: 2009 (St. X), 2013 (Scott County).
|2. Male (11-1)
|Keion Wakefield (WR) and rest of the Bulldogs look to dethrone the king.
|3. St. Xavier (8-5)
|Tigers' opening slate is daunting: Henry Clay, Bowling Green, Central, Highlands.
|4. Scott County (10-2)
|Cardinals won't play a home game from Sept. 11 to Oct. 16.
|5. Manual (8-4)
|U of L commit Derek Dorsey will be huge at DT for the Crimsons.
|6. Lafayette (8-4)
|Dual-threat Walker Wood and a robust OL could make for a big run.
|7. Central Hardin (12-1)
|Defense that allowed just under 16 points a game returns seven starters.
|8. Simon Kenton (11-2)
|Coach Jeff Marksberry thinks defensive line will be Pioneers' calling card.
|9. McCracken County (9-2)
|Can Zy'aire Hughes lead school past the second round in its third year of existence?
|10. Ballard (10-4)
|Senior David Daniels will be a four-year starter for the Bruins.
|Class 5A
|1. Highlands (13-2)
|No team in any class received more first-place votes than the Bluebirds.
|2. Bowling Green (11-2)
|OL Jordan Meredith (WKU commit) anchors an ever-exciting offense.
|3. Pulaski County (13-2)
|Junior Jake Johnson needs 110 receptions to break state career record.
|4. Covington Catholic (8-5)
|New head coach Eddie Eviston says sophomore QB AJ Mayer has Division I potential.
|5. Owensboro (12-3)
|Trae Crowe (DL) has uncommon blend of speed, power.
|6. Dixie Heights (13-2)
|Colonels drop from 6A, where Trinity bludgeoned them in last title game.
|7. Southwestern (10-3)
|DL Austin Daulton (6'4, 315) will be a handful for Warriors' foes.
|8. Graves County (11-4)
|Eagles have to fill void left by Cody Crider, now an SIU Saluki.
|9. Anderson County (9-4)
|The Bearcats seek their fifth regional appearance in six years.
|10. South Oldham (8-3)
|Dragons find themselves in a district with completely new faces.
|Class 4A
|1. John Hardin (7-7)
|Five of Bulldogs' seven losses were by combined 27 points.
|2. Johnson Central (11-1)
|Monstrous regular season ended with a second-round whimper.
|3. South Warren (13-1)
|Can Spartans continue to compete with a step up in class?
|4. North Oldham (10-3)
|Mustangs must replace top passer, rusher and receiver.
|5. Ashland Blazer (6-5)
|Tomcats sport two Division I commits in Quinton Baker (Marshall), Drew O'Bryan (WKU).
|6. Franklin County (8-3)
|Barrett Sanderson and Demarcus Kennedy should keep the Flyers airborne.
|7. Franklin-Simpson (9-2)
|The Wildcats will battle with South Warren for District 2 supremacy.
|8. Bourbon County (9-4)
|Tough nondistrict foes dot the Colonels' slate in their 4A return.
|9. Madisonville (10-3)
|The Maroons return only five starters from a big run in 2014.
|10. Collins (4-7)
|Titans had a championship hangover last year. Will it subside?
|Class 3A
|1. Belfry (13-2)
|Can Pirates give Eastern Kentucky its first three-peat since Pikeville's run from 1987-89?
|2. Boyle County (11-2)
|Second Chuck Smith era started strong. Can he bring "Title Town" more hardware?
|3. Central (10-5)
|Losing two trophies to Belfry, realignment naysayers should motivate Yellowjackets.
|4. Lexington Catholic (10-4)
|Mark Perry's Air Raid shuffles down a class - without Reese Ryan.
|5. Corbin (11-2)
|Only Belfry and South Warren played Central closer than the Redhounds last year.
|6. Paducah Tilghman (7-6)
|Jessie Dunnigan (QB) and Sayveon McEwen (WR) a lethal combination.
|7. Bell County (9-3)
|Bobcats have to enjoy no longer being in same region as Central.
|8. Russell (11-3)
|Red Devils have to dislike being placed in same region as Belfry.
|9. Lawrence County (9-4)
|Timmy Dalton (Jr. WR) could have a breakout season in Louisa.
|10. Garrard County (9-3)
|Golden Lions are the third District 4 team (Boyle, LexCath) in these rankings.
|Class 2A
|1. Mayfield (14-1)
|Cards won five of their 11 titles in the former Class 2A.
|2. DeSales (14-1)
|Back-to-back champs in progress of building first home stadium.
|3. Newport Catholic (8-6)
|Runners-up return backfield duo of Jacob Smith and John Harris.
|4. Lou. Christian (10-2)
|Receivers Clay Davis and Cal Lewellyn should highlight Centurions.
|5. Murray (9-5)
|QB Desjahvonni Miles will be a headache for opponents and writers alike.
|6. Owensboro Catholic (10-2)
|Ray Zuberer threw eight TDs in three games last season.
|7. Danville (8-4)
|Team's seniors were in kindergarten when Ads won their last title.
|8. Shelby Valley (11-3)
|Wildcats shocked a lot of folks last year. They'll be on radars in 2015.
|9. Glasgow (8-4)
|Key for Scotties will be replacing Marquezz Trigg's 1,615 yards.
|10. Somerset (0-10)
|"0-10 Never Again" is the Briar Jumpers' motto this year. Coaches buy it.
|Class A
|1. Beechwood (11-3)
|Mayfield ended the 11-time champs' season five of past six seasons.
|2. Williamsburg (14-1)
|Jackets' first two title-game showings were upended by Mayfield.
|3. Raceland (11-3)
|1,000-yard rusher Kane Snyder will bear brunt of offense for Rams.
|4. Pikeville (11-1)
|Panthers beat cross-county rival Belfry last year for first time since 2000.
|5. Paintsville (10-3)
|Tigers had double-digit wins for first time since 2005.
|6. Frankfort (10-3)
|WKU commit Anthony Robinson does a bit of everything.
|7. Russellville (9-4)
|Last year the team celebrated 75 years at Rhea Stadium.
|8. Hazard (10-3)
|Senior QB Cole Ratliff, a baseball star, mans youthful Bulldogs.
|9. Campbellsville (7-5)
|Kendon Young was top Class A rusher at 151 yards a game in 2014.
|10. Lou. Holy Cross (8-4)
|This marks the third straight season under center for Alec Greenwell.
2015 High School Football Preview
- Star-studded senior class might be Kentucky's finest
- 50 of Kentucky's top players
- Coaches: Please call in or email your results
- New alignment shakes up football landscape
- Top teams in each class
- Bryan Station moves forward without three standout receivers
- Henry Clay looks to build on undefeated year against city foes
- Big-time talent sets Lafayette up for big year
- Lexington Catholic aims to contend in new class
- Lexington Christian needs young blood to rise to occasion
- Experienced youth meets senior leadership at Dunbar
- Tates Creek spreading things in coach's second year
- Best matchups around Kentucky week by week
- Statewide high school football schedules


text: So, most of you will know about the horrible event that happened recently in Manchester, UK (where I live). Without going into too much detail for those who don't know, there was a terror attack on the 22nd of May 2017 at an Ariana Grande concert. That's as much detail as I'm going to talk … Continue reading #OneLoveManchester