Application of Geostatistical Seismic Inversion in the Meramec formation in the STACK play of the Anadarko Basin
Two case studies will be presented with the aim to demonstrate the applicability of Geostatistical Inversion approach for successful subsurface characterization in unconventional and conventional setting. The first example will focus on the Upper Meramec formation in the Anadarko basin, with some comparison between well derived porosity maps and maps derived geostatistical inversion product; the second example will focused on the Shannon formation of the Powder River Basin, where sand bodies can be highly discontinuous due to their depositional setting and sub-seismic in scale for an interpreter. Both cases will discuss validation analysis by either MWD-GR from horizontal wells (drilled syn and post study), comparison to Cumulative Oil production versus predicted sand thickness and well derive maps for comparison.
Bertrand is currently working as regional technical manager in the Reservoir Characterization group of CGG in Houston, developing new workflow using Machine Learning, Rock Physics and Petrophysics in both conventional and unconventional . He has held various positions for CGG in the last 10 years in Europe, the Middle East and North America. He worked on various integrated projects from exploration in the Berkine Basin, Algeria to 4D reservoir monitoring studies in the Middle East and West Africa (Removable and PRM systems). During his 6 years in the ME, he worked closely with processors to develop integrated workflow to improve PSDM imaging using petrophysics, rock physics and regional geology as well as detailed seismic attributes interpretation for strike slip fault identification in carbonate reservoirs. He holds a M.Sc. in Geology from LaSalle Institute, France and a M.Sc. in Petroleum Geoscience from Imperial College London.
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