Date/Time
Date(s) - 10/08/2020
12:00 pm - 1:00 pm
Categories
Geostatistical Inversion approach for successful subsurface characterization- two case studies Bertrand Six, Regional Technical Manager, CGG, Houston, TX. Abstract: 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.October 8, 2020 DGS Luncheon Webinar
The case studies presented aim at demonstrating the value of Geostatistical Inversion approach for successful subsurface characterization. Two examples will be discussed: one characterizing the complex Wolfcamp geological transition between the Eastern Midland Basin platform (Glasscock Nose area) and the Midland basin to identify and target higher porosity reservoirs ; the second is focusing on the Shannon formation of the Powder River Basin, where sand bodies can be discontinuous in nature due to the depositional setting and sub-seismic in resolution for an interpreter. Both cases will discuss validation analysis by either MWD-GR from horizontal wells (drilled syn and post study) or comparison to Cumulative Oil production versus predicted sand thickness.
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