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压力衰竭油田全寿命期出砂风险预测研究.docx

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压力衰竭油田全寿命期出砂风险预测研究 Title:RiskPredictionofSandProductioninStressDepletedOilFieldsoverTheirLifetime Abstract: Oilproductioninstressdepletedoilfieldsposesseveralchallenges,includingtheriskofsandproduction.Sandproduction,thesolidparticulatemattercomingalongwiththeextractedhydrocarbons,mayresultindamagingwellboreintegrity,equipmenterosion,andproductiondecline.Thisstudyaimstodevelopariskpredictionmodelforsandproductionovertheentirelifetimeofstressdepletedoilfields.Theresultsofthisresearchwillenableoperatorstoproactivelymitigatesandproductionissuesandoptimizeproductionstrategies. 1.Introduction: Stressdepletedoilfieldsarecharacterizedbyhighpressuredepletionduetoinadequatereservoirsupport.Thisdepletioncausestherockstoreleasetheirinternalstresses,leadingtopotentialmechanicalfailureandsandproduction.Understandingtheriskofsandproductionanddevelopingpredictionmodelsarevitalformaintainingsafeandefficientoilfieldoperations.Thispaperexploresthevariousfactorscontributingtosandproductionandproposesacomprehensiveriskpredictionmodel. 2.SandProductionMechanisms: 2.1.MechanicalFailure:Discussesthegeologicalandgeomechanicalfactorsleadingtorockfailureandsandproduction. 2.2.ReservoirGeology:Exploresthekeygeologicalparametersimpactingsandproduction,suchasrockstrength,stressdistribution,andformationcharacteristics. 3.DataCollectionandAnalysis: 3.1.HistoricalData:Gathersinformationonsandproductioneventsfromstressdepletedoilfieldstoidentifypatternsandtrends. 3.2.LaboratoryTesting:Conductsphysicalandmechanicaltestsonrocksamplestodeterminethepropertiesinfluencingsandproduction. 3.3.MachineLearningAlgorithms:Appliesrelevantalgorithms,suchasregressionanalysisandneuralnetworks,todevelopapredictivemodelbasedonthecollecteddata. 4.RiskAssessmentModel: 4.1.DeterminationofRiskFactors:Identifiesthekeyriskfactorsinfluencingsandproduction,includingreservoirpressure,rockproperties,andwelldesign. 4.2.RiskQuantificationMethod:Proposesamethodtoquantifytherisklevelofsandproductionbasedontheidentifiedriskfactors