致密气井积液综合诊断及动态跟踪技术
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中图分类号：TE37 文献标志码：A 文章编号：1000-7393（2025）-04-0522-11
Abstract：Duetothelow-porosityandlow-permeabilitycharacteristicsoftightsandstonegaseservoirs，teas-waterdistributionis affectedbythecouplingofmultiplefactors.welliquidloadingisacommonisse ingas wels，whichleads toasignificanticease in botom-holeback pressureandseverelyestricts thestable productionofgaswells.Hwever，existing welliquidloadingdiagnosis methods havebotleneckssuchassinglediagnosticindicatorsandinsuffcntaccuracy，sotereisanurgentndtoevelopaprecise diagnosis technology.Inthisstudyfirst，byomparingandaalyzingtheproductionperformancedata，testdata，waterproduction data，andother informationofmultiple gaswellsithesame block，thedataqualitywasimprovedthroughdatacleaning，denoising， andoutliercorrection.Then，sevendiagnostic methods wereintegratedtoestablishaliquidloadingdiagnosisndcalculationmodel frommultipledimensions icluding presure，flowate，and watercut.Finalyrelyingonasoftwareplatform，esearchonbigdata analysisandinteligentidentificationlogicwascarriedouttorealizepreciseidenticationofliquidloading，quantitative determination，lquidloadingearlywaming，andmulti-dimensionaldynamictracking.This tchologyintegratesultipleethodto constructanidentificationmodelandcombinesmulti-variabledynamicbigdataanalysis.Thefieldaplicationhasachieved remarkableresults： An in-depth analysis was conductedonthe liquid loading diagnosis dataof 22tight gas wels inthestudy block. The accuracy rate of the comprehensive method in judging the existence of liquid loading reached 90.9% ，which was 18.2 to 36.4 percentage points higher thanthatofsinglediagnostic methods.Intermsoftheacuracyrateforthe degreeofliquidloading，the comprehensive method achieved 72.7% ，representing an improvement of 13.6 to 31.8 percentage points compared with single methods.Itnotonlyrealizesbatch，rapid，andaccurateanalysisofliquidloadingbutalsocancapture thedynamicchangesof liquid loading nreal time.Theresearchandapplicationofthis technologyprovideahighlyvaluablereferencefortight gasfieldsandshow a good prospect of popularization and application.
Key words：welliquid loading;dynamic trackingandanalysis;comprehensive liquidloadingdiagnosismodel；liquidloading diagnosis method; intelligent identification; liquid loading early warning
0 引言
在全球能源结构向清洁化转型的背景下，天然气作为低碳能源的核心组成部分，其开发效率与资源利用率直接关系到能源安全与“双碳”目标的实现[1]。（剩余20947字）
