![]() Permeability, water saturation, and gas in place at the cell level are calculated by lithofacies- and porosity-dependent petrophysical transforms. ![]() Between wells, lithofacies and wireline-log porosity, corrected by lithofacies-dependent algorithms, are reliably represented by stochastic methods. Neural-network prediction of lithofacies using wireline logs and two geologic variables is effective in predicting lithofacies at wells. Lithofacies-based petrophysical properties are used to estimate water saturation. Both the knowledge gained and the techniques and workflow employed have implications for understanding and modeling similar reservoir systems worldwide.Īccurate representation of lithofacies in the model is critical because water saturation from wireline logs is inaccurate due to filtrate invasion. The model is also a tool for developing depositional models and for understanding controls on sedimentation. It is a quantitative basis for evaluating remaining gas, particularly in low-permeability intervals, and will aid field management and enhance ultimate recovery. ![]() ![]() The full-field model of the 70-year-old Hugoton field (largest in NA) is a comprehensive lithologic and petrophysical view of a giant reservoir system in a 108-million cell model covering 10,000-mi2 (26,000-km 2). Dissertation (Ph.D.)-University of Kansas, Geology, 2007.
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