Waveform-based inversions have been receiving a considerable attention over the recent years in the oil and gas industry. Going beyond the assumptions behind the amplitude-variation-with-offset/angle inversion and honoring complex effects of wave propagation, such waveform-based methods are effective in accurately delineating the subsurface reservoir properties. In this work, we develop a prestack waveform inversion method using multilevel parallelization and apply it on a real data volume from the Rock-Springs uplift, Wyoming, USA. We further use the inversion results to identify some key formations. Additionally, because the primary purpose of acquiring the Rock-Springs uplift seismic data was to characterize the subsurface for carbon dioxide sequestration, we also use our inversion results to analyze some potential target reservoirs and their associated seals. By demonstrating that our analysis is capable of producing a high-resolution image of the subsurface elastic earth properties, we conclude that prestack waveform inversion is an effective tool for reservoir characterization.
Presentation Date: Tuesday, October 18, 2016
Start Time: 10:45:00 AM
Presentation Type: ORAL