Publications

In this paper, integrated seismic processing strategies to maximize the exploration of prospective area is outlined through identifying compartmentalization of reservoirs. In the past, many uncertainties were introduced in a series of planning concepts due to seismic image ambiguities. A sequence of disciplined actions during seismic data processing have been undertaken to accurately image and position faults in alignment with minimizing possible cost leakage. Due to complexity of the subsurface with the presence of thin shallow gas pockets, a very thorough workflow was designed including a series of latest state-of-the-art velocity model building and absorption compensation processes. Efficient multiples estimations and suppressions have allowed accurate judgment on any amplitude-based attributes run on superior seismic migrated signals. In addition, specialized processing sequences have been followed to preserve seismic reflection response of discontinuities in their best stage and original condition. Industry available attributes applied on depth migrated volumes have indicated regional and significant large-scale faults with limitations. However, to further understand reservoir compartmentalization, the main objective in this paper has been to provide alternative approaches towards detailed data-driven fault imaging. Having alternative methods opens novel opportunities to integrate both methods complementing each other for minimized uncertainties. In order to enhance the images of lower energy signal related to discontinuities, reflection energy which in general is of higher amplitude gradation, was identified and efficiently excluded. Migration of this enhanced low energy signal related to discontinuities in the subsurface reveals a new chapter in data-driven reservoir compartmentalizations. Cascaded addition of extracted fault images to full migrated cubes, steers and converges towards identification of detailed fault networks confirmed by attribute analyses.