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Abstract: Interactive 3-D Visualization of Sonar Survey and Other Data Types for Analysis of Displaced Infrastructure and Seabed Sediments following a Gulf of Mexico Hurricane Event

Abstract Our presentation relies upon commercial visualization software to portray three-dimensional views of seabed and pipelines using data collected after the passage of Hurricane Ivan (2004) (Fig. 1). Data from a variety of sources are displayed in a common geospatial setting. Principal data types include geophysical data plus engineering models and geographic mapping elements. Using selected tools we co-visualized the integrated datasets and analyzed the degree of pipeline displacement following the storm (Fig. 2). The method included "fly-through" of the rendered scene. The collaborative visualization environment led to rapid understanding of storm effects, including the types of seabed failure leading to pipeline movement. Rapid identification of post-storm conditions was vital to our remedial response. The visualization technique led to enhanced decision making regarding proper engineering response. We relied in part on BP's Highly Immersive Visualization Environment (HIVE) setting to review data interpretations with multidisciplinary teams. The ability to interactively add or remove elements and to selectively vary transparency revealed key spatial relationships. Similarly, rotating the data and viewing it in perspective from multiple angles (Fig. 3) yielded insights otherwise not obtainable. Results of our analysis will be used better to understand the effects of large-scale storms on seabed sediments and will allow us to prepare for future events. Review of the integrated dataset revealed that the most significant pipeline displacements occurred in water depths less than 300 ft. The largest of these was noted in block MP144 where a section of pipeline, approximately 27.5 mi in length, was found displaced to a maximum of 1,900 ft (Fig. 2). The presence of scour marks on the seabed suggest the mass movement of, bottom sediments contributed to the pipeline displacement. A second area of pipeline movement apparently caused by seabed failure is in blocks MP 72 and 73 (Figs. 4 and 5), as indicated by mud lumps and disturbed bottom sediments. Our survey in MP225 (Fig. 3) found minor pipeline movement and significant rock outcrop. More details of survey results were presented earlier (Thomson et al., 2005). The use of visualization software together with the HIVE allowed us to assess rapidly post-storm high-resolution sonar data and establish the status of pipeline assets. Co-visualization of multiple data types demonstrated the spatial relationships between geoscience, engineering and cultural data (Figs. 6 and 7). Business benefits resulting from this methodology include more efficient use of scarce resources and faster, more confident restart of pipeline operations based on an understanding of subsea conditions.