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Iterative imaging for subsalt interpretation and model building

ConocoPhillips, Houston, USA

Shengwen Jin

Screen Imaging Technology, Houston, USA

Corresponding author: Chuck.C.Mosher{at}conocophillips.com

A key factor for imaging geology below complex salt bodies is identifying and defining the shape of the salt geometry. In recent years, a combination of improved imaging algorithms, increased computational speed, and integrated interpretation platforms have made it increasingly possible to use imaging in near real-time as an interactive aid in the salt model interpretation process. The availability of real-time feedback showing the effect of changes in the velocity model on the seismic image and salt interpretation can significantly improve image quality and reduce cycle times for model building and interpretation. In this study, we utilize a range of imaging algorithms that allow a trade-off between complexity and run time. These techniques range from simple vertical stretching to full two-way shot imaging. Fast, simple algorithms implemented as add-ins to the interpretation platform are used for testing incremental changes to the interpretation. Complex algorithms for full volume imaging are implemented in a production cluster processing system using shared data formats. In combination with multidiscipline teams, use of iterative imaging with an integrated interpretation platform results in significant reductions in cycle times for model updates and subsequent improvements in image and interpretation quality.