Application of artificial intelligence assisted evaluation technology in the development of volcanic gas reservoirs
A sensitivity analysis,automatic historical fitting,scheme optimization,and un-certainty analysis were conducted on typical volcanic rock gas reservoir blocks using CO-MOST artificial intelligence assisted evaluation technology.A new method for evaluating the development indicators prediction,scheme optimization,and risk analysis of volcanic rock gas reservoirs was established,providing reference and basis for the reasonable indicator prediction of gas reservoirs and the definition of development technology boundaries in the future.
CMGnumerical simulationCMOST moduleartificial intelligenceMonte Carlo method