复杂介质参数反演的小生境蚁群算法研究

复杂介质参数反演的小生境蚁群算法研究

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时间:2019-03-02

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1、哈尔滨工业大学理学硕士学位论文AbstractBecauseofthescarcityofresourcesintoday’sworld,especiallytheincreasingdemandforoilandgasresources,thetheoreticalstudyandpracticalapplicationinoilandgasexplorationhavebeentheconcernofresearchersaroundtheworld.Inparticular,resource

2、distributioninourcountryismoredecentralizedandmoreconcealed,whichincreasedthedifficultyofoilandgasexploration.Therefore,parametersinversionproblemincomplexmediaplaysmoreandmoreimportantroleinthepracticalapplication.Fortheactualundergroundmedia,mostofr

3、eservioraremadeoftwopartsincludingfluidandsolid,namelytwo-phasemedia,suchasstandatonereseriorandcarbonatereservior.Thesingle-phasemediumtheorywhichistooidealistichasacertaingapwiththerealworld.Thediscriptionthattwo-phasemediumtheorymadeforactualstratu

4、mstructureandstratumpropertiesismoreaccurate.Thus,two-phasemediumtheoryhasbeenwidelyusedingeophysicalresearchsuchasearthquakeengineering,geophysicalexplorationandsoildynamics.Theresearchfocusisalsobiasedinfavoroftwo-phasemediumtheorygradually.Forcarry

5、ingoutexplorationinoilandgasreserviors,weneedtoknowthereserviorparameters,suchasporosity,permeability,saturationandsoon,topredictthestratumstructure.However,wehavetoadoptthegeophysicalinversioninordertoobtaintheseparametersgenerally.Basedontheanalysis

6、andsummaryofseveraltraditionalinversionmethods,thisthesisintroducesthebasictheoryandresearchstatusofantcolonyalgorithm,BiotmodelandBISQmodelintwo-phasemediumindetail.Takingintoaccountthereserviorparameterinversionproblemisextremevalueproblemofnonlinea

7、rmilti-modalfunction.Inordertoprevent“preneture”andavoidaglobaloptimalfallingintoalocaloptimal,weproposedthenicheantcolonyalgorithmbasedonthefitnesssharingbyimprovingthenicheantalgorithm.First,weusetheimprovednicheantcolonyalgorithminmulti-modalfuncti

8、onoptimizationproblem,andwecomparetheresultsobtainedbynicheantcolonyalgorithmwiththeresultsfoundbynichegeneticalgorithm.Itcanbeshownthattheformerhashighereffectivenessandsuperiorityinbothlocaloptimizationandglobaloptimization.Second,weperformt

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