辽河盆地东部凹陷中基性火成岩测井曲线特征研究
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摘要
受郯庐断裂的影响,新生代以来,辽河盆地东部凹陷间断发生了6次构造运动,且均伴随有强度不等的火山喷发活动,火成岩广泛发育。以6口不同的井为例,揭示了东部凹陷内中基性火成岩、致密玄武岩、气孔玄武岩、玄武质火山碎屑岩、粗面岩、粗面质火山碎屑岩和辉绿岩的测井曲线组合特征。选取典型的岩性数据段总结出了该地区火成岩性测井响应特征,并制作了一套适合该地区的岩性识别图版。其中,自然伽马和深侧向电阻率交会图能很好地识别辉绿岩,中子和密度交会图可以很好地区分玄武岩类;利用最小二乘支持向量机建立了火成岩岩性识别模型,识别结果与岩心、岩屑薄片定名对比,符合率较高。交会图版和最小二乘支持向量机结合运用,很好地解决了研究区岩性识别的问题,为进一步开展油气藏的解释奠定了基础。
Since the Cenozoic,because of the influence of the Tanlu Fault,six tectonic movements have occurred in the Eastern Depression of Liaohe Basin,which were accompanied by volcanic activity with different intensity;so igneous rock is widely developed.Based on six wells,the characteristics of log combination of the intermediate and basic igneous rock are analyzed,including tight basalt,stomatal basalt,basaltic volcanic clastic rock,trachyte,trachytic volcanic clastic rock and diabase.Selecting typical lithology data,the characteristics of igneous lithology logging response in this area are summarized;and a set of suitable lithology identification chart is established for the area.The crossplot of natural gamma versus deep lateral resistivity can well identify diabase,and the crossplot of neutron and density can well distinguish basalts.Using least squares support vector machine(LS-SVM),the igneous rock lithology identification model is constructed.Compared with core analysis and cutting description,the accuracy rate of the identification result reaches up to 79.5%.The combination of crossplot and LSSVM well solves the problem of lithology identification and provides assistance for further interpretation of oil and gas reservoirs.
Since the Cenozoic,because of the influence of the Tanlu Fault,six tectonic movements have occurred in the Eastern Depression of Liaohe Basin,which were accompanied by volcanic activity with different intensity;so igneous rock is widely developed.Based on six wells,the characteristics of log combination of the intermediate and basic igneous rock are analyzed,including tight basalt,stomatal basalt,basaltic volcanic clastic rock,trachyte,trachytic volcanic clastic rock and diabase.Selecting typical lithology data,the characteristics of igneous lithology logging response in this area are summarized;and a set of suitable lithology identification chart is established for the area.The crossplot of natural gamma versus deep lateral resistivity can well identify diabase,and the crossplot of neutron and density can well distinguish basalts.Using least squares support vector machine(LS-SVM),the igneous rock lithology identification model is constructed.Compared with core analysis and cutting description,the accuracy rate of the identification result reaches up to 79.5%.The combination of crossplot and LSSVM well solves the problem of lithology identification and provides assistance for further interpretation of oil and gas reservoirs.
引文
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[17]宋延杰,张剑风,闫伟林,等.基于支持向量机的复杂岩性测井识别方法[J].大庆石油学院学报,2007,31(5):18-20Song Y J,Zhang J F,Yan W L,et al.A new identification method for complex lithology with support vector machine[J].Ournal of Daqing Petroleum Institute,2007,31(5):18-20
[18]钟仪华,李榕.基于主成分分析的最小二乘支持向量机岩性识别方法[J].测井技术,2009,33(5):425-429Zhong Y H,Li R.Application of principal component analysis and least square support vector machine to lithology identification[J].Well Logging Technology,2009,33(5):425-429
[19]韩学辉,卢时林,支乐菲,等.应用最小二乘支持向量机识别J13井区杜家台油层岩性[J].特种油气藏,2011,18(6):18-21Han X H,Lu S L,Zhi L F,et al.Identification of the lithology of Dujiatai formation in J13well block with least squares support vector machine[J].Special Oil and Gas Reserviors,2011,18(6):18-21
[20]韩学辉,支乐菲,刘荣,等.应用最小二乘支持向量机识别广利油田沙四段储层岩性[J].地球物理学进展,2013,28(4):1886-1892Han X H,Zhi L F,Liu R,et al.A lithologic identification method in Es4 reservoir of Guangli oil field with least square support vector machine[J].Progress in Geophysics,2013,28(4):1886-1892
[2]李军.辽河坳陷东部凹陷沙三段沉积储层特征与油气关系[D].北京:中国地质大学,2010Li J.Reservoir characteristics and oil/gas relationship in the Es3sedimentation of the eastern depression of the Liaohe Rift[D].Beijing:China University of Geosciences,2010
[3]陈全茂,李忠飞.辽河盆地东部凹陷构造及其含油气性分析[M].北京:地质出版社,1998:12-14Chen Q M,Li Z F.Structure and capability analysis of the Eastern Sag of Liaohe Basin[M].Beijing:Geological Publishing House,1998:12-14
[4]廖兴明,姚继峰,于天欣.辽河盆地构造演化与油气[M].北京:石油工业出版社,1996:10-12Liao X M,Yao J F,Yu T X.Tectonic evolution and oil and gas of Liaohe Basin[M].Beijing:Petroleum Industry Press,1996:10-12
[5]赵澄林,孟卫工,金春爽,等.辽河盆地火山岩与油气[M].北京:石油工业出版社,1999:15-20Zhao C L,Meng W G,Jin C S,et a1.Volcanic rocks and hydrocarbon in Liaohe Basin[M].Beijing:Petroleum Industry Press,1999:15-20
[6]于小健,黄玉龙,李军,等.辽河盆地东部凹陷古近系沙三段粗面岩成因及喷发模式[J].中国矿业,2013,22(3):58-65Yu X J,Huang Y L,Li J.Lithogenesis and eruption model of the eocene trachyte in the eastern sag of Liaohe basin[J].China Mining Magazine,2013,22(3):58-65
[7]孙卉.辽河东部凹陷中新生代火山事件与构造作用[J].中国石油勘探,2005(5):36-41Sui H.Mesozoic-Cenozoic volcanic events and structure effects in the Eastern Sag in Liaohe depression[J].China Petroleum Exploration,2005(5):36-41
[8]李思伟,王璞珺,丁秀春,等.辽河东部凹陷走滑构造及其与火山岩分布的关系[J].地质论评,2014,60(3):591-600Li S W,Wang P J,Ding X C,et al.The relationship of strike-slip belts and volcanic rocks distribution in the eastern depression Liaohe basin[J].Geological Review,2014,60(3):591-600
[9]蔡国钢.辽河裂谷东部凹陷粗面岩成因机理探讨[J].地球学报,2010,31(2):245-250Cai G G.Genetic mechanism of trachyte in the eastern depression of Liaohe rift[J].Acta Geoscientica Sinica,2010,31(2):245-250
[10]冯玉辉,黄玉龙,丁秀春,等.辽河盆地东部凹陷中基性火山岩相地震响应特征及其机理探讨[J].石油物探,2014,53(2):206-215Feng Y H,Huang Y L,Ding X C,et al.Relationship between intermediate-mafic volcanic facies and their corresponding seismic reflections:a case study from eastern depression of Liaohe basin[J].Geophysical Prospecting for Petroleum,2014,53(2):206-215
[11]王岩泉,胡大千,蔡国刚,等.辽河盆地东部凹陷火山岩储层特征与主控因素[J].石油学报,2013,34(5):896-904Wang Y Q,Hu D Q,Cai G G,et al.Characteristics and controlling factors of cenozoic volcanic reservoirs in Liaohe basin,NE China[J].Acta Petrolei Sinica,2013,34(5):896-904
[12]黄玉龙,单俊峰,边伟华,等.辽河坳陷中基性火成岩相分类及储集意义[J].石油勘探与开发,2014,41(6):1-10Huang Y L,Chan J F,Bian W H,et al.Facies classification and reservoir significance of the cenozoic intermediate and mafic igneous rocks in Liaohe depression,east China[J].Petroleum Exploration and Development,2014,41(6):1-10
[13]杨光达.辽河坳陷东部凹陷中南部沙三段火山岩特征分析[J].石油天然气学报,2011,33(8):54-57Yang G D.Analysis of Es3volcanic rock property in the eastern sag of Liaohe depression[J].Journal of Oil and Gas Technology,2011,33(8):54-57
[14]张占文,陈振岩,蔡国刚,等.辽河坳陷火成岩油气藏勘探[J].中国石油地质,2005,10(4):16-22Zhang Z W,Chen Z Y,Cai G G,et al.Exploration of volcanic oil and gas reservoir in Liaohe depression[J].China Petroleum Exploration,2005,10(4):16-22
[15]刘嘉麒,孟凡超,崔岩,等.试论火山岩油气藏成藏机理[J].岩石学报,2010,26(1):1-13Liu J Q,Meng F C,Cui Y,et al.Discussion on the formation mechanism of volcanic oil and gas reservoir[J].Acta Petrologica Sinica,2010,26(1):1-13
[16]于代国,孙建孟,王焕增,等.测井识别岩性新方法—支持向量机方法[J].大庆石油地质与开发,2005,24(5):93-95Yu D G,Sun J M,Wang H Z,et al.A new method for logging lithology identification-SVM[J].Petroleum Geology&Oilfield Development in Daqing,2005,24(5):93-95
[17]宋延杰,张剑风,闫伟林,等.基于支持向量机的复杂岩性测井识别方法[J].大庆石油学院学报,2007,31(5):18-20Song Y J,Zhang J F,Yan W L,et al.A new identification method for complex lithology with support vector machine[J].Ournal of Daqing Petroleum Institute,2007,31(5):18-20
[18]钟仪华,李榕.基于主成分分析的最小二乘支持向量机岩性识别方法[J].测井技术,2009,33(5):425-429Zhong Y H,Li R.Application of principal component analysis and least square support vector machine to lithology identification[J].Well Logging Technology,2009,33(5):425-429
[19]韩学辉,卢时林,支乐菲,等.应用最小二乘支持向量机识别J13井区杜家台油层岩性[J].特种油气藏,2011,18(6):18-21Han X H,Lu S L,Zhi L F,et al.Identification of the lithology of Dujiatai formation in J13well block with least squares support vector machine[J].Special Oil and Gas Reserviors,2011,18(6):18-21
[20]韩学辉,支乐菲,刘荣,等.应用最小二乘支持向量机识别广利油田沙四段储层岩性[J].地球物理学进展,2013,28(4):1886-1892Han X H,Zhi L F,Liu R,et al.A lithologic identification method in Es4 reservoir of Guangli oil field with least square support vector machine[J].Progress in Geophysics,2013,28(4):1886-1892