Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Implementation and demostration of new 3D-4C ocean-bottom seismic depth imaging technology. Contact person; Tor Hilton, [email protected], Telephone: +47 66 851 850 The objective The objective of this project is to implement and demostrate a seismic processing sequence for 3-D acquired OBC data (Ocean Bottom Cable), by making use of the redundancy in the data information as obtained by exploiting all the 4 components (4C) of the data. Processing of 3-D, 4-C seismic OBC data for improved subsurface imaging is expected to be an important factor in future reservoir characterization and monitoring, and hence a potential important source of income for RWS in the future. In particular the OBC data has a number of important additional features as compared to 3-D acquired marine data; such as improved azimuth coverage, 4 component data that significantly improves the potential in removing data multiples , observation of Sconverted energy and improved repeatability, all important factors in producing better subsurface images of the reservoir. RWS has been doing 2-D OBC processing project successfully for some time based on existing VSP processing technology in combination with an implementation of the approach developed by Lasse Amundsen at Statoil for separating wave fields into upand down-going P- and S- wave fields from the original 4 component data. See references below. The wave separation approach has proved successful and superior to the classical approach of summing data components. The main objective of this project is to continue our past experience with 2-D OBC processing into a full 3-D processing sequence by extending and further developing our existing 2-D software into a full 3-D approach, to fully process 3-D OBC data from raw seismic 4-C 3-D input data into a final subsurface depth image from P-P migrated as well as P-S migrated data at the final end of the processing sequence. The extension and implementation of a working wave field separation approach based on Amundsen methods is the most important single aspect of the project.