白音查干凹陷桑合地区油储地球物理特征研究

2009104453,7100542008114,200963(P01034)3(,710054;,710054)..,2009,44(5):613616,,,,,,2008C35,,,1,,3200km2,,2080,1996,2003,C9,600104t;,,C27C30C32;2008,,C35,,,(1)200810104t(1),,,,,,,,;[1,2],,;C27,C9(1)1614200922.1,,,,,,,,,,,,,,,;,[3],,,(2)2I(),,2.2,2I,,,,I,,,0.16g/cm3,20s/m[4,5]2.3,,,,,,,,[6,7]3C3C19,C3,;C12;C19,3C3C12C193,,,,445:615[8]3.1,,30,,(4)43.2,,,[9]5I,(),53.3,,,,,,[10,11],,,,,,,,,,,:[12,13](6),C9C27,C23C16,,C27C27C30C324,,,,2008C30C35,,9061811m13m,1117.5m,2542.5m,,61620096,,4(1),,,(2),,,,[1],,..,2004,19(2):348356[2]..2006,33(2):198200[3],,.4.,2004,39(6):706710[4]HaldorsenHH,DamslethE.Challengesinreservoircharacterization.BulletinofAmericanAssociationofPetroleumGeologists,1993,77(4):541551[5],,..,2008,43(4):447452[6],,..,2008,47(2):136140[7]..,2005,40(6):625662[8]..,2008,43(1):4852[9],.71.,2008,6(1):3133[10],,..,2003,30(3):124125[11],,..,2008,43(3):284290[12]StewartRR.GaiserJE.Convertedwaveseismicex2ploration:Methods.Geophysics,2002,67(5):13481363[13].40.,2005,40(1):366370(:)OilGeophysicalProspecting20091.ZhejiangCommunicationvocationalCollege,HangzhouCity,ZhejiangProvince,311112,China2.InformationEngineeringInstituteofPhysics,CentralSouthUniversity,ChangshaCity,HunangProvinve,4100083,ChinaUsingwellandseismicmulti2scaleinformationinte2grationtopredictshallowlithologygasreservoirinmatureoilfield.ZhangXian2guo1,LinCheng2yan1,ZhangTao1andWangYong2gang1.OGP,2009,44(5):609612Thelithologydistributionforshallowgasres2ervoirinmatureoilfieldisquitecomplex,usingseismicattributeanalysis,gas2bearingsandstoneforwardmodelingandsonicparameterpredictionmethodwhichisbasedonProbabilityNeuralNet2works(PNN)topredictthedistributionoftheshallowgasreservoiraretheeffectivetoolsforex2plorationofthiskindofreservoir.Buildinggeo2logicalmodelwhichisconsistentwithregionalge2ologytrendsandapplyingthemodelinseismicfor2wardmodelingstudies,summarizingtheseismicreflectioncharacteristicsofthegasreservoirs,arethepreconditionforreservoirpredictioninsurfaceseismicexploration.Basedonoptimizedattrib2utes,PNNisusedtointegratemultiseismicat2tributeswithwellloggingsonicdata,thenthedis2tributioncharacteristicsofthesonicparametersin3dspacecanbepredicted.Ontheonehandtheworkflowaboveavoidtheinformationsidednesscausedwhenonlyusingsingleseismicattribute,ontheotherhanditrealizesthereasonableexten2sionofsonicparametersinthezoneofinterestso2verthe3dspace,thereforetheworkflowprovidesafastandeffectivetoolforgasreservoirpredic2tion.TheworkflowwasappliedinHonggangoil2field,Jilin,theseismicforwardmodelingresultsshowthatstrongtroughreflectionfromthetopofthegasreservoirandstrongpeakreflectionfromthebottomofthereservoircanbeseen,theanom2aliesofseismicattributesonseismicsectionsandthereflectioncharacteristicsfromforwardmodel2inggas2bearingsandstonearesimilar,thusmajorcontrolfactorforHI3gasreservoirwasidentified,andthehighlyproductivegaswellswerethea2wardsfortheintegratedstudies.Keywords:matureoilfield,shallowgasreservoir,multi2attributeanalysis,forwardmodeling,proba2bilityneuralnetworks,multi2scaleinformationin2tegration1.InstituteoftheEarthRecoursesandInforma2tion,ChinaUniversityofPetroleum(EastChina),DongyingCity,ShandongProvince,257061,ChinaStudiesonreservoirgeophysicalcharacteristicsinSangheArea,BaiyinchaganDepression,InnerMon2golia,China.ZhangYa2min1,2.OGP,2009,44(5):613616Basedongeologicaldata,wellloggingdataandseismicdata,studiesonreservoirgeophysicalcharacteristicswereconductedinDuFormationfirstSub2formationoil2bearingsandgroupinSang2heArea,BaiyinchaganDepression.Itisnoticedinthestudiesthattheimpedancecharacteristicsforthesandandmudstoneinterbeddedthinreservoirarenotdistinctive,thusthesinglereservoirpredic2tionmethoddoesnotworkforreservoirprediction.Howeverbyfollowingtheregionalgeologytrendsandbasedonseismicmulti2attributeanalysisandimpedanceinversion,thereservoirpredictionforthesandandmudstoneinterbeddedthinreservoirwerecarriedoutbyusingtheintegratedreservoirpredictionmethodinwhichinformationfromgeolo2gy,seismicsurveyandwellloggingwereutilized,themethodworksquitewell,thesandbodycanbeeasilyseenontheseismicmulti2attributeanalysisandpredictionsections,thelaterallithologythick2nesschangesforthesandandmudstoneinterbed2dedthinreservoircanbeeasilyrecognizedaswell,andthepredictionresultsandthedrillingmatchedwell.In2008C35wellwasdrilledintheDepres2sionandoilrichreservoirwasfoundout,inthereservoirmulti2milliontonsofcrudeoilreserveissecured,sotheexplorationendeavorinthisareaisquitesuccessfulandefficient.Keywords:attributeanalysis,sandbodytype,rockphysics,reservoirprediction,BaiyinchaganDepression.1.CollegeofEarthScienceandResources,Chang’anUniversity,Xi’anCity,ShaanxiProvince,710054,China2.MinistryofEducationKeyLabofMineralResourcesintheWesternRegionandGeologyEngineering,Xi’anCity,ShaanxiProvince,710054,ChinaMagnetotelluricDataProcessingBasedonHilbert2HuangTransforminOilandGasExploration.CaiJian2hua1,2,GongYu2rong2andWangXian2chun1.OGP,2009,44(5):617621,629NowadaystheneedforusingMagnetotelluric(MT)soundinginoilandgasexplorationisgrow2ing.WhileMTdataseriesarenonlinea