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How Deep Graph Analysis Based on Piping & Instrumentation Diagrams Can Boost the Oil & Gas Industry


 Most oil and gas plant operators would like to benefit from a virtual plant model, or digital twin, which allows them to access important data quickly. In reality, however, many have to work from large numbers of legacy analogue Piping & Instrumentation diagrams (P&ID) that have amassed over many years. Digitizing these to achieve a productive digital twin using traditional, manual methods can be an excessively expensive and time-consuming task.
 A digital processing tool like PIDGraph is a much faster, more efficient approach. It treats all analogue P&IDs, irrespective of origin, as flat images which it can scan using artificial intelligence and convert into XML compatible files; these can be directly processed by most CAE tools.
 Crucially, a solution like this can not only understand the blocks of plant equipment, but also the relationships between them as expressed by their interconnecting pipes and wires. This allows the user to build applications on top of the graph structure. Typical use cases are Equipment Isolation for maintenance requirements, and Module Engineering for engineering applications.
 As time goes by and more of a plant's P&ID information is added to the system, it can serve as a data anchor for contextualization applications. The content stored can include not only P&IDs, but also maintenance reports, material specifications, manufacturer data and many other types of documentation. Users will be able to navigate quickly through vast amounts of data to find the points that matter in any given situation. They can use this information to improve plant safety, optimize operations, and reduce costs.