March 2024
Features

Shale technology: Bayesian variable pressure decline-curve analysis for shale gas wells

A new workflow generates probabilistic history-matches and production forecasts for any decline-curve model while incorporating variable BHP conditions. It provides fast history matches and forecasts of shale gas wells more accurately than traditional DCA while quantifying model uncertainty. The primary value added is an innovative method for probabilistic variable-pressure DCA.
Dr. Leopoldo Ruiz Maraggi / Bureau of Economic Geology, University of Texas at Austin Mark P. Walsh / Hildebrant Department of Petroleum and Geosystems Engineering at the University of Texas at Austin Larry W. Lake / Hildebrant Department of Petroleum and Geosystems Engineering at the University of Texas at Austin Frank R. Male / Pennsylvania State University
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