人工智能在深部油气勘探领域的应用展望

中图分类号：U445.6 文献标志码：A 文章编号：2095-2945（2025）34-0012-05

Abstract：Withincreasingglobal energydemandand depletionofshallowresources，exploration ofdeep and complex formationshasbecomeaciticalfocusinthepetroleumindustryTraditionalmethodsfacebotlenecksindataprocesing，pattern recognitionandecisiooptiatioissudysstematicalleviewsthedancementsofartfiialintellgene（Ateolois indeepoilandgasexploration，focusingonaplicationsofmachineleaing（ML），deeplearning（DL），andotherAtchiques inseismicinterpretationreservoirpredictionanddrilingoptimization.Casestudiesdemonstratethateancesexplorati eficiency，mitigatesrisksndoptimizesresourcemanagement.Theresearchidentifesfourkeychalengesforimplemettio： dataqualitymodelinterpretabilitynterdisciplinarytalentshortages，andcomputationalconstraints，proposingsolutiossuchas dataaugmentationandmodellightweighting.Byintegratingmultidisciplinaryconvergenceandemergingtechnologies（e.g.，edge computing，digitaltwins），AIisexpectedtodrivetheintellgent，real-time，andautonomoustransformationofdeepexploation. Thisworkprovidestheoreticalandtechnicalinsightstosupporttheindustry'stransitiontowardnext-generationexploration paradigms.

KeyWords： artificial inteligence;deep oiland gas exploration; machine learning;deeplearning; knowledge graph

全球能源需求持续增长与浅层油气资源枯竭的双重压力下，深部复杂地层的勘探开发成为保障能源安全的关键。（剩余8077字）