考虑宏微观地质体属性提升盐穴储气库址优选准确率

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中图分类号：TE37；TE822 文献标志码：A 文章编号：1000-7393（2025）-04-0489-11

Abstract：To overcome the high misclassification rates of storage-classdesignation （traditional methods achieving <60% accuracy） andincompletecoverageofevaluationcriteriaencountered incurrentsaltcaverngasstoragesiteselectionevaluationschemes，a multi-indicatoraessmentsystemasonstrucedissystecompssimacosopicgeolgicalvarabls-ocksaltbdbrial depth，halitebagfoatiockssaity（solublefracti）Cotetstorgeapacitydtebdtd fourmicroscopicgologicparameters-fracturetoughessofsaltcaprockpermeabilitycaprock porosityandrock-salttriaial strength.Bymacrosopiallalyingsalt-deposittructure，faultsstemsndcaprocksalingtegrityandbyicooically characterizingthephysicochemicalandmechanicalpropertiesoftargethalite，theAnalyticHerarchyProcess（AH）wasemploedto asigncriterionweights.Coupledwithagrey-target model thatcomputesthecomprehensivetarget-centerdistance （TCD）forach candidatesite，tisapproacheftielysolstelitatiosofsatoricompleteiaadoclasifiaonacuacyit toconventioalsiteselectiopractices.Results indicate tatJintansaltcvem，exhibitingtheminmmTCD（.45），emergsasthe optimal site， and its storage-class designation achieves 100% concordance with the actual construction sequence. The proposed methodologyfurishesaquantitativeecision-support tolforpre-feasibilitySCGSsitingoferingsignificantengineeingguidance for the rational exploitation of halite resources and the efficient， integrated utilization of salt caverns.

Keywords：saltavegasstoagesiteselecti;ulti-icatorasesmet;aalyticherarchyproce;geytaretmodel;target center distance

0 引言

随着全球经济的快速发展和能源需求的不断增长，天然气在能源结构中的占比日益提升。（剩余17462字）