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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.
China is on track to make its own advanced processors
Today's featured Forty Under 40 honoree is Yogashri Pradhan, a reservoir engineer at Coterra Energy.
Teams at the University of Tulsa at University of Texas at Austin are researching flow control options to prevent paraffin deposits in pipelines.
AUSTIN, Texas — To combat the extreme environmental toll of major oil spills, researchers at The University of Texas at Austin have created a technology