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基于流动单元的碳酸盐岩油藏剩余油分布规律_范子菲

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基于 流动 单元 碳酸盐 油藏 剩余 分布 规律 范子菲
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F²>Ð7?5782014M10PETROLEUMEXPLORATIONANDDEVELOPMENTVol.41No.5文章编号:1000-0747(2014)05-0578-07DOI:10.11698/PED.2014.05.09基于流动单元的碳酸盐岩油藏剩余油分布规律范子菲1,李孔绸1,李建新1,宋珩1,何伶1,2,吴学林1(1.中国石油勘探开发研究院;2.长江大学)基金项目:中国石油天然气股份有限公司重大科技专项(2011E-2504)摘要:让纳若尔裂缝孔隙性碳酸盐岩油田Г北油藏储集层类型复杂多样,根据孔隙类型及其组合方式和不同孔隙组合的孔渗关系,将储集层划分为孔洞缝复合型、裂缝孔隙型、孔隙型和裂缝型4种类型,并实现了储集层类型的测井识别。孔洞缝复合型和裂缝型同类型储集层之间动用程度差异小,裂缝孔隙型和孔隙型同类型储集层之间动用程度差异较大,为了更准确地评价储集层动用的难易程度,优选了影响储集层动用程度的关键参数,裂缝孔隙型储集层为:储集层品质指数、饱和度中值喉道半径、总渗透率、裂缝渗透率与基质渗透率之比;孔隙型储集层为:储集层品质指数、饱和度中值喉道半径和基质渗透率。综合考虑基质和裂缝建立双重介质储集层流动单元划分方法,以关键参数作为聚类变量,利用神经网络聚类分析技术,将4种储集层类型划分为6类流动单元。建立流动单元三维地质模型和数值模拟模型,表征剩余油分布规律。根据剩余油研究结果,Г北油藏2013年投产8口井,初期日产油为周围老井的2.3倍。图12表5参10关键词:碳酸盐岩油藏;储集层类型;流动单元;神经网络聚类分析;流动单元模型;剩余油中图分类号:TE344文献标识码:AAstudyonremainingoildistributioninacarbonateoilreservoirbasedonreservoirflowunitsFanZifei1,LiKongchou1,LiJianxin1,SongHeng1,HeLing1,2,WuXuelin1(1.PetroChinaResearchInstituteofPetroleumExploration2.YangtzeUniversity,Hubei434023,China)Abstract:ReservoirГnorth,whichbelongstoZhanzhol,Kazakhstanafracture-poretypedcarbonateoilfield,hasavarietyofreservoirtypes.Accordingtothecombinationpatternofdifferentvoidsandtherelationshipbetweenporosityandpermeability,carbonatereservoirsareclassifiedintofourtypeswhicharefracture-cavity-poretyped,fracture-poretyped,poretypedandfracturetyped,andtheidentificationofwhichbywellloggingdataisrealized.Thereisalittledifferenceintheproducingdegreewithinthesamereservoirtypeforfracture-cavity-poretypedandfracturetypedreservoirs.However,therearelargedifferencesintheproducingdegreeforfracture-poretypedandporetypedreservoirs.Inordertoappraisetheproducingdegreeofreservoirsmoreexactly,keyparametersaffectingtheproducingdegreeoffracture-poretypedandporetypedreservoirsareselectedseparately,which,forthefracture-poretypedarereservoirqualityindex(RQI),porethroatradiusatmercurysaturationof50%(R50),totalpermeability(Kf+Km),andtheratiooffracturepermeabilitytomatrixpermeability(Kf/Km),andfortheporetypedareRQI,R50,andmatrixpermeability(Km).Withtheintegratedconsiderationofmatrixandfracture,aflowunitclassificationmethodfordualmediumreservoirisestablished,andtakingtheseparametersasclusteringvariants,fourtypesofreservoirsarefurtherdividedintosixkindsofreservoirflowunitsbythemeansofneuralnetworkclusteringtechnology.Basedonreservoirflowunitmodeling,anumericalsimulationmodelisbuiltwitheachtypeofreservoirflowunitsadoptingitscorrespondingrelativepermeabilitycurve,basedonwhich,thedistributionregularityofremainingoilofreservoirГnorthisstudiedanddemonstrated.Eightnewwellsaredesignedaccordingtotheresearchresult,andputintoproductionin2013withtheinitialdailyoilproductionratebeing2.3timesthatofnearbyoldwells.Keywords:carbonateoilreservoir;reservoirtype;reservoirflowunit;neuralnetworkclusteringtechnology;reservoirflowunitmodel;remainingoil0„ýÖ÷û%"ª%"bW˘#F†ZT"µ|Ðd#ö1¹˜Ÿù·³T¨™î¥·da·ó[#îû‰/‰‚?â·Kdó„îû‰¥?âñÐæ±M1"áM[4]b‚]˘d#F†ZT‚]%"ªd#²+˜9‚]VC‚]¥1@+˜bô‚]˘d#F†ZTæ¨Ø˜™m³sËEV|Ö÷û%"ªÃs¹7Ë[5]nm1b¹æ¨È?©Ý'MY%"ªË˜ôd#™ÿad#Ä¥1"„d11"|Г²Ÿ%"ªÃs¹d󉯆˜a‰d#˜ad#˜„‰˜4Õ%"ªË˜òÕ%"ªË˜d1Œömus¹üAnm2b图1碳酸盐岩储集层孔隙类型三角分类法图2岩心孔隙度-渗透率交会图2.2储集层类型的测井识别‚]˘Ö÷û%"ªd#bW²‚]©ÝY‹+˜9‚ÐM][6]bûs'a%"ªË˜Ãs²T¥$vî^©Ý³d²TB,9²Г²Ÿ‚]˘%"ª¥©ÝY‹+˜nV1b表1不同类型储集层测井响应特征统计表%"ªË˜1–¸”/API'§_ÈEq/(Ω·m)0§_ÈEq/(Ω·m)€ÊÏ0/%á/(g·cm−3)2oHµ/(μs·m−1)d#/%;Èš·”/(b·e−1)d󉯆˜Ð7?c²B7?Vol.41No.5图3不同类型储集层常规测井与成像测井响应特征m4¹©ÝMY¥‚]˘%"ª¥d11"òË%"ª¥d11"#Œöm¥ÊÂÐû'nm2BÁªü©ÝMY¥%"ªË˜¹†Øb3¿%"ªË˜¥@î†íÃsÐV˜3.1储集层流动单元划分依据3.1.1储集层孔隙结构V2¹®â'¤ž¥‚]%"ªË˜û"Ö°5âïwL•”d9VbVµæ¿²1@¥˜图4测井识别各类储集层孔隙度-渗透率交会图表2不同储集层类型岩样毛管压力曲线参数统计表d#/%1iq/10−3μm2†zâï/MPaKvõYd¤öå/μm„Ï´°5âï/MPa„Ï´¤¡öå/μm%"ªË˜KlKvÜ(KlKvÜ(KlKvÜ(KlKvÜ(KlKvÜ(KlKvÜ(d󉯆˜11.2017.5013.2125.90436.0089.010.020.080.039.2337.1231.280.080.610.321.209.563.53‰d#˜6.0014.609.520.0362.5017.980.020.640.151.1536.9311.730.3115.903.080.052.340.69d#˜6.0014.309.220.0229.601.430.081.280.300.5718.423.840.5033.765.460.021.460.34‰˜2.805.904.280.058.111.460.322.560.710.282.311.544.0538.8714.430.010.230.09992.8017.5010.280.02436.0024.800.022.560.210.2837.1213.030.0838.873.950.019.561.172014M10S0c©¿@î†í¥Ö÷û²Ÿ:Ųsƒ?p581Ind󉯆˜%"ªd#²K¹ØXQ¹‰d#˜Q¹d#˜‰˜Kµbd󉯆˜%"ª¥d#a1iqaKvõYd¤öå„„Ï´¤¡öå©•”(v¿ð3Õ˘%"ª†zâïa„Ï´°5âï©•”l¿ð3Õ˘%"ªbM]%"ªË˜7ýd#˜a‰d#˜%"ªò[•”¥)µ(vb3.1.2储集层动用程度‚]˘%"ªd#²+˜òs7?VñÏî¨ñMµvbæ¨Г²Ÿ122g²ÝÁAéë'9Ø%"ªÁAÐ7?c²B7?Vol.41No.5图7孔隙型储集层不同地质参数与储集层动用程度交会图3.2.2流动单元划分与表征Г²Ÿ@î†íÃsð5¹î¨ñÚO"Ï¥d󉯆˜%"ª„”¥‰˜%"ªòÿëT¹BË@î†ísY¨3A„DVU]Ë%"ªî¨ñµsvO]9%"ª¨1èv¥‰d#˜„d#˜%"ª5æ¨Ê¥ËM¹ù*Ü©Ž/ŒÉ›ËsòÉB„%s¹Ë@î†ísY[B1aB2„C1aC2VUb‰d#ŸÖ÷û²Ÿ©r1iq¹Éy$ô†Ý%"ª@î†íÃs²T¨½:·UEZEyëГ²Ÿ%"ª@î†íØ»¹É˜V˜‚]@î†ísƒ?pbÜë‚]˘@î†í¥sƒS¶„sƒÊ‚]nm8:_‚]˘@î†í¥sƒÊ„sƒÀq‚]nm9b图8Г北油藏Г41小层储集层流动单元平面分布4¿@î†í¥:Ųsƒ?pV˜Г²Ÿ@î†í¹É˜ÜV†Ø¥©ìYÄ图9Г北油藏Г41小层储集层流动单元纵向分布概率图[ª‚]˘%"ª@î†í¨‚]¥M1wLÉ›˜SÄ„%E†¤ž²ŸðSHq/c²„Æ–ªÉ›²Ÿ7?åNE†¤ž"-ÿ/²Ÿ:Ų„Æ®:ŹÉ%h€—Ų%¤ž:ÅVî%bN$IÅòlª:Ų„sƒma:ÅVî%~ma‚]˘@î†í:ÅVî%~sƒm©òÕmqV˜òlª[#òË@î†í:Ųsƒ?p[10]b4.1不同类型流动单元相渗曲线分析‚]%"ª@î†í¥d¤„‰?âñ‚]M1wL9µüAµsb¿v@î†í˘AaDaB1aC1aB2„C2¥¨½²MM1iqwLGQ®Pª·Mînm10º£„®8.45%ïv9vž33.2%nV3Œ^Û"c£„9vòË@î†í¥²MM1iqµshl‚]˘@î†í¥²MM1iqt¿BÁb¿v@î†í˘AaB1aC1aB2aD„C2¥¨½£MM1iqwLﮪ/Mît]—Ų„®2014M10S0c©¿@î†í¥Ö÷û²Ÿ:Ųsƒ?p583图10Г北油藏不同类型流动单元相渗曲线表3Г北油藏不同类型流动单元物性及相渗曲线端点值统计@î†íd#/%1iq/10−3μm2º£„/%—Ų„/%z9rq/%A10.0~21.59.28~3000.008.4531.5465.5B18.0~19.51.08~965.6216.5433.2060.2B26.0~13.00.65~59.7222.5035.0554.8C18.0~20.00.24~234.7818.2534.2058.2C26.0~11.30.02~33.7933.2036.0046.1D3.0~6.01.00~36.7014.3036.0058.831.54%ïv9vž36.00%z9rq®65.5%ïvhlž46.1%Q˜1@?ïïvMµ¥t]b4.2Г北油藏剩余油分布规律‚]˘@î†íÏðSð²¹É%#ñ‚]:ÅVî%sƒ9ò‚M]bAË@î†íñKÚ:ÅVî%]Г²Ÿ9¥19.4%B1Ë@î†íñÚ:ÅVî%]²Ÿ9¥28.8%¾Ë@î†íª¯|^öïÁªC1Ë@î†íñÏ©:ÅVî%]²Ÿ9¥12.9%B2„C2Ë@î†í:ÅVî%]²Ÿ9¥1èÚsY¹20.6%„17.8%O]]ËðS¹É%¥1è9ÚsY¹34.9%„37.4%î¨ñ®^ª‹.¿/¥ö1`bDË@î†í%]1dÈl‚RÿëT¹‹.`nV4b表4Г北油藏不同类型流动单元储量表@î†í]²ŸðS¹É%1è/%@î†íñ/%:ŹÉ%]91è/%:ÅVî¨%]91è/%:ÅVî¨%]]ËðS¹É%1è/%:ÅVî¨%]]Ë:Å%1è/%A22.533.520.019.429.043.6B128.928.028.028.833.646.7B219.920.121.320.634.943.7C112.122.612.512.936.146.7C216.018.317.617.837.445.7D0.625.40.60.527.737.1‚]˘@î†í¥?âñasƒƒ^eÅ:Ųsƒ¥×1yÍb[Г²ŸöïÁ²lªГ32lª¹è†aꆄ†¹:Ų¥ö1¶"unm11ö1sƒB2„B1Ë@î†íQA„C2Ë@î†íÏnm12b图11Г32小层剩余油饱和度平面分布图图12Г32小层各类流动单元剩余地质储量分布直方图5‹¨rTô:Ųùî²TГ²Ÿ†‡17gÝ2013MgÁ8gù°Á²16~58t/dÜ(35t/d¹Û¶ºÝ¥2.3c£q2.8%~25.0%Ü(18%1ºÝ®24%nV5b表5Г北油藏2013年新井投产初期生产情况表½|Ý|gÁHW(M-)²ZT°ÁA/t°Á²/tc£q/%125812013-05685814.7224152013-0735328.6323392013-0852444.4423792013-01302516.7535682013-11581616.7625842013-1138523.5735692013-1236352.8823882013-12282125.0584F²>Ð7?c²B7?Vol.41No.56²‚ôd‰Ë˜#F†ZTГ²Ÿ¥%"ªVÃs¹d󉯆˜a‰d#˜ad#˜„‰˜4Õ˘‚]%"ªË˜µò1©ÝY‹+˜]BÕ%"ªË˜µMÍ¥d11"bd󉯆˜„‰˜%"ª]˘%"ª­W¥î¨ñµslŒ‰d#˜„d#˜%"ª]˘%"ª­W¥î¨ñµsvb%"ªÖÉ·”a„Ï´¤¡öåa‰1iqÐÉ1iq­1a91iq^•Y‰d#˜%"ªî¨ñ¥1o¹É•”%"ªÖÉ·”a„Ï´¤¡öåaÉ1iq^•Yd#˜%"ªî¨ñ¥ö1¹É•”b|d󉯆˜„‰˜%"ªòT¹BËÿë¥@î†íisY[˜|A„DVUbæ¨*Ü©ŽËs/Œ|‰d#˜„d#˜%"ªòÉB„ÃsîË@î†íi[˜|B1aB2„C1aC2VUb‚]˘@î†í¥ñ„:ÅVî%sƒò‚M]bB1Ë@î†í¹Ú)Y@î†íñÚ:ÅVî¨%K¯|^ª¥öïÁªbC2„B2Ë@î†í:ÅVî%]²Ÿ9¥1è„]]Ë@î†íðS¹É%¥1è(Ú^ª‹.¥ö1`bDË@î†í%1èdÈl‚RÿëT¹‹.¿/`b参考文献:[1]SðFJ.Ö÷û%ªV˜[M].Ø:F²ýÐ7?,2014,41(2):206-214.HeLing,ZhaoLun,LiJianxin,etal.Complexrelationshipbetweenporosityandpermeabilityofcarbonatereservoirsanditscontrollingfactors:AcaseofplatformfaciesinPre-CaspianBasin[J].PetroleumExplorationandDevelopment,2014,41(2):206-214.[5]Å.@î†íùîÉZ[J].¹oSÐÉZ,2000,15(3):303-306.LiuJiyu.Advancesinthestudyofreservoirflowunit[J].AdvancesinEarthScience,2000,15(3):303-306.[8]¦½c,Ð.%ª@î†íÃsZEЋ¨[J].?–¹oSÐ,2010,21(3):362-366.WangZhizhang,HeGang.Theclassificationmethodandapplicationofreservoirflowunits[J].NaturalGasGeoscience,2010,21(3):362-366.[9]äÁÐ,-+,äÍÂ,©.¿*Ü©Ž¥Ës%ª@î†íÃsÏ¥‹¨[J].þÐÄ,2011,35(3):249-353.SunZhixue,YaoJun,SunZhilei,etal.Theapplicationofclusteringanalysisbasedonneuralnetworktechnologyinreservoirflowunitclassification[J].Geophysical&GeochemicalExploration,2011,35(3):249-353.[10]çÕc,®b1,ÃI¾.@î†í¥ÝWç©#:Ųsƒ?pùî[J].F²Ð,2003,24(3):74-77.ChenYefei,PengShimi,SongGuiru.Predictionofflowunitsbetweenwellsandresidualoildistribution[J].ActaPetroleiSinica,2003,24(3):74-77.第一作者简介:范子菲(1966-),男,湖南隆回人,中国石油勘探开发研究院教授级高级工程师,主要从事海外油气田开发研究工作。地址:北京市海淀区学院路20号,中国石油勘探开发研究院中亚俄罗斯研究所,邮政编码:100083。E-mail:fzf@petrochina.com.cn收稿日期:2014-02-18修回日期:2014-08-08I郭海莉ûm刘方方
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