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.
UT Austin and SwRI Support Five Collaborative Energy Research Projects miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
Jeff and Mindy Hildebrand’s investment in petroleum and geosystems engineering has made a world-changing impact on students, faculty and research at UT.