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基于叠前道集的致密砂岩储层含气性预测方法.docx

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基于叠前道集的致密砂岩储层含气性预测方法 Abstract Thepredictionofgascontentintightsandstonereservoirsbasedonpre-stackseismicdataisanimportanttopicintheexplorationofnaturalgasresources.Thispaperproposesamethodforpredictinggascontentintightsandstonereservoirsusingpre-stackseismicdata.Firstly,thepre-stackseismicdataacquisitionandprocessingmethodsareintroducedbriefly.Then,thegeologicalcharacteristicsandgascontentoftightsandstonereservoirsareanalyzed.Finally,weproposeapredictionmethodbasedoninversiontechniquesandmachinelearningalgorithms.Theproposedmethodcombinestheadvantagesofdifferentmethodsandprovidesanewwayforpredictinggascontentintightsandstonereservoirs. Keywords:pre-stackseismicdata,tightsandstonereservoirs,gascontent,predictionmethods,inversiontechniques,machinelearningalgorithms Introduction Tightsandstonereservoirsareakindofunconventionalnaturalgasreservoirs,whichhavethecharacteristicsoflowporosity,lowpermeability,andhighheterogeneity.Tightsandstonereservoirshavebecomeanimportanttargetforexplorationanddevelopmentofnaturalgasinrecentyears.However,itisdifficulttoevaluatethegascontentandreservesoftightsandstonereservoirsduetothecomplexgeologicalconditionsandthelackofeffectiveexplorationmethods.Pre-stackseismicdataisanimportantsourceofinformationforpredictingthegascontentintightsandstonereservoirs.Thepredictionofgascontentintightsandstonereservoirsbasedonpre-stackseismicdatahasbeenwidelystudiedandappliedinmanyfields. Inthispaper,weproposeamethodforpredictinggascontentintightsandstonereservoirsbasedonpre-stackseismicdata.Firstly,weintroducetheacquisitionandprocessingmethodsofpre-stackseismicdata.Then,weanalyzethegeologicalcharacteristicsandgascontentoftightsandstonereservoirs.Finally,weproposeapredictionmethodbasedoninversiontechniquesandmachinelearningalgorithms.Theproposedmethodcombinestheadvantagesofdifferentmethodsandprovidesanewwayforpredictinggascontentintightsandstonereservoirs. Pre-stackSeismicDataAcquisitionandProcessing Pre-stackseismicdataisobtainedbyrecordingseismicwavesgen