储层建模中地质统计学整合地震数据的方法及研究进展
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摘要
在储层建模中整合地震数据时 ,用地震数据约束井间区域数据估计 ,使之能体现储层的大尺度变化。结合地震数据在储层属性建模中的应用方法及现状 ,先讨论了整合数据的基础——变差函数 ;然后按照方法发展的顺序介绍了线性回归法、克里金法 (包括外部漂移克里金、协克里金、配置克里金 )、随机模拟法以及比较新的Block克里金序贯高斯模拟法和频率域整合法 ;最后指出了储层建模中整合地震数据方法的发展趋势
In a process of integrating seismic data in reservoir model building,seismic data are used to constrain regional data estimation of inter wells,which can show the large scale variation of reservoir. Combining with the methods and current situation using seismic data for reservoir attribution model building,starting from discussion of variogrm the base of integrating data,the paper introduced linear regressive analysis,Kriging(including Kriging with external drift,cokriging and collocated Kriging) and stochastic simulation according to the order of development and some recently developed new methods,such as block Kriging sequential gaussian simulation and integrating seismic data in frequency domain.Finally,it pointed out several developing trends of seismic data integration in reservoir building.
In a process of integrating seismic data in reservoir model building,seismic data are used to constrain regional data estimation of inter wells,which can show the large scale variation of reservoir. Combining with the methods and current situation using seismic data for reservoir attribution model building,starting from discussion of variogrm the base of integrating data,the paper introduced linear regressive analysis,Kriging(including Kriging with external drift,cokriging and collocated Kriging) and stochastic simulation according to the order of development and some recently developed new methods,such as block Kriging sequential gaussian simulation and integrating seismic data in frequency domain.Finally,it pointed out several developing trends of seismic data integration in reservoir building.
引文
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[11] Wang andWangP M.Modeling porosity distributionin theA'nanOilfield:use of geologicalquantification,neural networks,and geostatistics.SPE59090,1999,2(6):527～532
[12] DeutschC V.Geostatistical reservoir modeling ac-counting for precision and scale of seismic data.SPE36497,1996,9～19
[13] Foumier.Integration of3-D seismic data in reservoirstochastic simulations:A case study.SPE 30564,1995,343～356
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[25] 张永贵等.储层地质统计随机建模.石油大学学报(自然科学版),1998,(3)
[26] 李龙滟等.用随机模拟方法对井间砂体预测.石油与天然气地质,1999,(2)
[27] 肖斌,赵鹏大等.时空域的指示克里格理论研究.地质与勘探,1999,(4)
[28] 胡侃蔚等.三维定量储层地质模型与参数动态预测方法.江汉石油学院学报,1998,(4)
[29] 边少锋等.克里格估计的分析解释与协方差函数的代数确定.地质科学,2000,(2)
[30] 蒋志.理论变异函数.中国数学地质,1994,(5)
[31] 蒋志.广义克里格方法.中国数学地质,1994,(5)
[32] 张团峰等.油气储层随机模拟的地质应用.中国数学地质,1994,(5)
[33] 周叶等.估计渗透率的空间分布的方法.中国数学地质,1991,(3)
[34] 高林.地质统计学的应用与滥用.石油物探译丛,1997,(6)
[2] Cham bersR L et al.Petroleum geostatistics for non-geostaticians.TheL eadingEdge,2000,592～599
[3] L eeW B et al.3-D geostatistical velocity m odeling:salt im aging in a geopressured environm ent.TheL eadingEdge,2000,32～36
[4] DoyenP M et al.Seism ic porosity m apping in theEkofiskField using a new form of collocatedcokriging.SPE 364998,1996,21～30
[5] DoyenP M et al.Porosity from seism ic data:ageostatistical approach.Geophysics,1988,53(10):1263～1275
[6] DubrukleO et al.Geostatistics reservoircharacterization constrained by3-D seism ic data.PetroleumGeoscience,1998,4:47～57
[7] Ronald et al.Incorporating seismic data ofinterm ediate vertical resolution into3-Dreservoir.SPE 49143,1998,497～507
[8] XuW L andTranT T.Integrating seism ic data inreservoir modeling:the collocatedCokrigingalternative.SPE 24742,1993,833～842
[9] DoyenP M et al.Reconciling data at seism ic and welllog scale in3-D earth m odeling.SPE38698,1997
[10] Fournier andDerainJ.A statistical methodology forderiving reservoir properties from seismic data.Geophysics,1995,60(5):1437～1449
[11] Wang andWangP M.Modeling porosity distributionin theA'nanOilfield:use of geologicalquantification,neural networks,and geostatistics.SPE59090,1999,2(6):527～532
[12] DeutschC V.Geostatistical reservoir modeling ac-counting for precision and scale of seismic data.SPE36497,1996,9～19
[13] Foumier.Integration of3-D seismic data in reservoirstochastic simulations:A case study.SPE 30564,1995,343～356
[14] 王家华等.油气储层随机建模.石油工业出版社,2001
[15] 周丽清等.随机建模中相模型的优选验证原则.石油勘探与开发,2001,(1)
[16] 吕晓光等.储层地质模型及随机建模技术.大庆石油地质与开发,2000,(1)
[17] 侯景儒等.实用地质统计学.地质出版社,1998
[18] 吴胜和等.储层建模.石油工业出版社,1999
[19] 李钟山等译.地质统计学中结构分析的理论与方法.世界地质,1997,(3)
[20] 李钟山等译.地质统计学中区域化变量理论.世界地质,1997,(3)
[21] 刘永社译.避开地质统计法油藏特征化中的陷阱:安全指南.石油物探译丛,1998,(6)
[22] 肖斌,赵鹏大等.地质统计学新进展.地球科学进展,2000,(3)
[23] 张一伟等.地质统计学在油藏描述中的应用.石油大学出版社,1992
[24] 侯景儒等.空间域及时间—空间域多元信息的地质统计学研究及应用.中国数学地质,1995,(6)
[25] 张永贵等.储层地质统计随机建模.石油大学学报(自然科学版),1998,(3)
[26] 李龙滟等.用随机模拟方法对井间砂体预测.石油与天然气地质,1999,(2)
[27] 肖斌,赵鹏大等.时空域的指示克里格理论研究.地质与勘探,1999,(4)
[28] 胡侃蔚等.三维定量储层地质模型与参数动态预测方法.江汉石油学院学报,1998,(4)
[29] 边少锋等.克里格估计的分析解释与协方差函数的代数确定.地质科学,2000,(2)
[30] 蒋志.理论变异函数.中国数学地质,1994,(5)
[31] 蒋志.广义克里格方法.中国数学地质,1994,(5)
[32] 张团峰等.油气储层随机模拟的地质应用.中国数学地质,1994,(5)
[33] 周叶等.估计渗透率的空间分布的方法.中国数学地质,1991,(3)
[34] 高林.地质统计学的应用与滥用.石油物探译丛,1997,(6)
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