井间河道砂体的井震结合法精细解剖刻画
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摘要
随着大庆油田萨北开发区开发程度的加深,储层非均质性矛盾日益严重,在密集的井网条件下如何有效预测井间河道砂体展布已成为提高采收率的关键问题。以大庆萨北开发区北二西区块为例,在多学科综合思想的指导下,充分利用井震结合的方法刻画河道砂体平面展布特征。在地震地质层位追踪的前提下沿参考层分别向上向下开取一定的时窗提取多种地震属性,以反距离加权平均法提取井点属性,利用某商业软件的二维聚类分析及作者研究的线性回归分析与聚类分析方法评价地震属性与井点处储层参数的相关性。研究认为,该方法可用于优选刻画河道砂体的地震属性。在此基础上,结合井数据的纵向优势与地震属性的横向优势编制了目的层段的河道砂体平面展布图。
As the development areas in east China have been in the phase of super-high water cut period,the distribution of remaining oil gradually becomes increasingly complex.In order to figure out the reasons which control the distribution of the remaining oil,the effective prediction of the distribution of interwell river channel sand body has become an urgent issue in EOR(enhanced oil recovery).Seismic microfacies mapping can be time consuming,even if only a basic overview of the microfacies distribution is needed.In this paper,based on the high resolution well log and seismic data,a study of interwell microfacies with the help of high resolution well log and 3-D seismic data in Sabei development area was carried out.Seismic attributes were extracted on the premise of seismic horizon tracing in a dense well pattern and the seismic attributes on wells were determined by inverse distance weighted mean method.The clustering procedure correlation analysis method,the linear and multivariate statistical correlation analysis between seismic attributes and well log data were used to deduce relationships between seismic data and reservoir physical information(including effective thickness,distribution of sedimentary facies). Finally,we demonstrate the possibility of using multi-attribute results to foster an understanding of depositionally oriented trends in interwell river channel sand body distribution that have been observed in the buildups we got in the analysis.Then the planar map of depositional microfacies distribution was mapped with the result of well-seismic data and it would lead us a new understanding of how to find remaining oil.
As the development areas in east China have been in the phase of super-high water cut period,the distribution of remaining oil gradually becomes increasingly complex.In order to figure out the reasons which control the distribution of the remaining oil,the effective prediction of the distribution of interwell river channel sand body has become an urgent issue in EOR(enhanced oil recovery).Seismic microfacies mapping can be time consuming,even if only a basic overview of the microfacies distribution is needed.In this paper,based on the high resolution well log and seismic data,a study of interwell microfacies with the help of high resolution well log and 3-D seismic data in Sabei development area was carried out.Seismic attributes were extracted on the premise of seismic horizon tracing in a dense well pattern and the seismic attributes on wells were determined by inverse distance weighted mean method.The clustering procedure correlation analysis method,the linear and multivariate statistical correlation analysis between seismic attributes and well log data were used to deduce relationships between seismic data and reservoir physical information(including effective thickness,distribution of sedimentary facies). Finally,we demonstrate the possibility of using multi-attribute results to foster an understanding of depositionally oriented trends in interwell river channel sand body distribution that have been observed in the buildups we got in the analysis.Then the planar map of depositional microfacies distribution was mapped with the result of well-seismic data and it would lead us a new understanding of how to find remaining oil.
引文
[1]Todorov I T.Integration of 3C-3D seismic data and well logs for rock property estimation[D].Alberta:University ofCalgary,2000:53-80.
[2]Harilal S K,Sood B A,Rangachari V.Identification of reservoir facies within a carbonate and mixed carbonatesiliciclastic sequence:Application of seismic stratigraphy, seismic attributes,and 3D visualization[J].The Leading Edge,2008,27(1):18-29.
[3]Hart B S.Validating seismic attribute studies:Beyond statistics[J].The Leading Edge,2002,21(10): 1016-1021.
[4]Tebo J M.Use of volume-based 3D seismic attribute analysis to characterize physical property distribution:A case study to delineate reservoir heterogeneity at the Applition Field,SW Alabama[D].Montreal:McGill University, 2003:22-30.
[5]Sukmono S,Santoso D,Samodra A,et al.Integrating seismic attributes for reservoir characterization in Melandong Field,Indonesia[J].The Leading Edge,2006, 25(5):532-538.
[6]Van Hoek,Gesbert T S,Pickens J.Geometric attributes for seismic stratigraphic interpretation[J].The Leading Edge,2010,29(9):1056-1065.
[7]Walker R,Wong C.Seismic multiattribute analysis for lithology discrimination in Ganso Field,Oficina Formation, Venezuela[J].The Leading Edge,2005,24(11): 1160-1166.
[8]苏燕,杨愈,白振华,等.密井网区井震结合进行沉积微相研究及储层预测方法探讨——以大庆杏树岗油田杏56区为例[J].地学前缘,2008,15(1):110-116.. Su Yan,Yang Yu,Bai Zhenhua,et al.A study of depositional microfacies and method of reservoir prediction by integrating well log and seismic information in dense well pattern——Taking Xing 56 Block,Xingshugang Oil field,Daqing as an example[J].Earth Science Frontiers, 2008,15(1):110-116.
[9]吴满生,王志章,沈云发.井震结合地震属性反演方法及应用[J].油气地球物理,2009,7(2):22-24,28. Wu Mansheng,Wang Zhizhang,Shen Yunfa.The seismic attribute inversion method and its application based on the integration of well and seismic[J].Petroleum Geophysics, 2009,7(2):22-24,28.
[10]闵小刚,陈开远,范廷恩.井震结合进行河流相储层非均质性表征——以渤海湾盆地黄河口凹陷渤中263油田为例[J].石油与天然气地质,2011,32(1):375-381. Min Xiaogang,Chen Kaiyuan,Fan Ting'en.Heterogeneity characterization of fluvial facies reservoirs through integration of seismic and logging data-An example from Bozhong-263 Oilfield in the Huanghekou Sag,the BohaiBay Basin[J].Oil & Gas Geology,2011,32(1): 375-381.
[11]于兴河,李胜利,赵舒,等.河流相油气储层的井震结合相控随机建模约束方法[J].地学前缘,2008,15(4): ??33-41. Yu Xinghe,Li Shengli,Zhao Shu,et al.The constraining method on stochastic modeling for fluvial petroleum reservoir controlled by depositional facies integrating wells with seismic data[J].Earth Science Frontiers,2008, 15(4):33-41.
[12]赵政璋,赵贤正,王英民,等.储层地震预测理论与实践[M].北京:科学出版社,2005:209-221.
[13]陈学海,卢双舫,薛海涛,等.地震属性技术在北乌斯丘尔特盆地侏罗系泥岩预测中的应用[J].中国石油勘探,2011,16(2):67-71. Cheng Xuehai,Lu Shuangfang,Xue Haitao,et al.Application of seismic attribute technique to Jurassic mudstone prediction in north Ustyurt Basin[J].China Petroleum Exploration, 2011,16(2):67-71.
[14]周家雄,刘薇薇,马光克,等.高温高压储层的精细地震属性预测技术——以莺歌海盆地为例[J].天然气工业,2013,33(2):7-11. Zhou Jiaxiong,Liu Weiwei,Ma Guangke,et al.Fine description and prediction of seismic attributes of HPHT gas reservoirs in the Yinggehai Basin[J].Natural Gas Industry, 2013,33(2):7-11.
[15]张旭峰,张进学,牟克勋,等.体属性分析在精细构造研究中的应用[J].新疆石油地质,2012,33(5): 599-601. Zhang Xufeng,Zhang Jinxue,Mou Kexun,et al.Application of volumetrictric attributes analysis to fine structural interpretation[J].Xinjiang Petroleum Geology,2012, 33(5):599-601.
[16]石军,熊苡.多元统计、聚类分析法在自然资源开发中的应用[J].山东理工大学学报:自然科学版,2003, 17(1):81-83. Shi Jun,Xiong Yi.Multivariate statistical and cluster analysis method applied in exploit of natural resources[J]. Journal of Shandong University of Technology:Natural Science Edition,2003,17(1):81-83.
[17]于秀林.多元统计分析[M].北京:中国统计出版社, 1999:61-97.
[18]苏金明,阮沈勇,王永利.Matlab工程数学[M].北京:电子工业出版社,2005:110-114.
[19]李操.基于地震属性的储层预测方法研究及初步应用[D].大庆:大庆石油学院,2006.
[20]李全,林畅松,吴伟,等.地震沉积学方法在确定沉积相边界方面的应用[J].西南石油大学学报:自然科学版,2010,32(4):50-55. Li Quan,Lin Changsong,Wu Wei,et al.Identify the boundary of depositional system by using seismic sedimentology [J].Journal of Southwest Petroleum University: Science & Technology Edition,2010,32(4):50-55.
[21]李秀鹏,曾洪流,查明.地震沉积学在识别三角洲沉积体系中的应用[J].成都理工大学学报:自然科学版, 2008,35(6):625-629. Li Xiupeng,Zeng Hongliu,Zha Ming.Mapping deltaic depositional systems using seismic sedimentology[J]. Journal of Chengdu University of Technology:Science & Technology Edition,2008,35(6):625-629.
[22]张军华,朱焕,高荣涛,等.地震复合属性——地震属性提取与解释新方法[J].新疆石油地质,2007,28(4): 494-503. Zhang Junhua,Zhu Huan,Gao Rongtao,et al.Compound attribute as new method for pickup and interpretation of seismic attributes[J].Xinjiang Petroleum Geology,2007, 28(4):494-503.
[23]刘伟,贺振华,陈学华.地震多属性在浊积扇河道砂体识别中的应用[J].西安石浦大学学报:自然科学版, 2011,26(5):6-10,16. Liu Wei,He Zhenhua,Chen Xuehua.Application of seismic multi-attributes in the identification of the channel sand in turbidite body[J].Journal of Xi'an Shiyou University: Natural Science Edition,2011,26(5):6-10,16.
[2]Harilal S K,Sood B A,Rangachari V.Identification of reservoir facies within a carbonate and mixed carbonatesiliciclastic sequence:Application of seismic stratigraphy, seismic attributes,and 3D visualization[J].The Leading Edge,2008,27(1):18-29.
[3]Hart B S.Validating seismic attribute studies:Beyond statistics[J].The Leading Edge,2002,21(10): 1016-1021.
[4]Tebo J M.Use of volume-based 3D seismic attribute analysis to characterize physical property distribution:A case study to delineate reservoir heterogeneity at the Applition Field,SW Alabama[D].Montreal:McGill University, 2003:22-30.
[5]Sukmono S,Santoso D,Samodra A,et al.Integrating seismic attributes for reservoir characterization in Melandong Field,Indonesia[J].The Leading Edge,2006, 25(5):532-538.
[6]Van Hoek,Gesbert T S,Pickens J.Geometric attributes for seismic stratigraphic interpretation[J].The Leading Edge,2010,29(9):1056-1065.
[7]Walker R,Wong C.Seismic multiattribute analysis for lithology discrimination in Ganso Field,Oficina Formation, Venezuela[J].The Leading Edge,2005,24(11): 1160-1166.
[8]苏燕,杨愈,白振华,等.密井网区井震结合进行沉积微相研究及储层预测方法探讨——以大庆杏树岗油田杏56区为例[J].地学前缘,2008,15(1):110-116.. Su Yan,Yang Yu,Bai Zhenhua,et al.A study of depositional microfacies and method of reservoir prediction by integrating well log and seismic information in dense well pattern——Taking Xing 56 Block,Xingshugang Oil field,Daqing as an example[J].Earth Science Frontiers, 2008,15(1):110-116.
[9]吴满生,王志章,沈云发.井震结合地震属性反演方法及应用[J].油气地球物理,2009,7(2):22-24,28. Wu Mansheng,Wang Zhizhang,Shen Yunfa.The seismic attribute inversion method and its application based on the integration of well and seismic[J].Petroleum Geophysics, 2009,7(2):22-24,28.
[10]闵小刚,陈开远,范廷恩.井震结合进行河流相储层非均质性表征——以渤海湾盆地黄河口凹陷渤中263油田为例[J].石油与天然气地质,2011,32(1):375-381. Min Xiaogang,Chen Kaiyuan,Fan Ting'en.Heterogeneity characterization of fluvial facies reservoirs through integration of seismic and logging data-An example from Bozhong-263 Oilfield in the Huanghekou Sag,the BohaiBay Basin[J].Oil & Gas Geology,2011,32(1): 375-381.
[11]于兴河,李胜利,赵舒,等.河流相油气储层的井震结合相控随机建模约束方法[J].地学前缘,2008,15(4): ??33-41. Yu Xinghe,Li Shengli,Zhao Shu,et al.The constraining method on stochastic modeling for fluvial petroleum reservoir controlled by depositional facies integrating wells with seismic data[J].Earth Science Frontiers,2008, 15(4):33-41.
[12]赵政璋,赵贤正,王英民,等.储层地震预测理论与实践[M].北京:科学出版社,2005:209-221.
[13]陈学海,卢双舫,薛海涛,等.地震属性技术在北乌斯丘尔特盆地侏罗系泥岩预测中的应用[J].中国石油勘探,2011,16(2):67-71. Cheng Xuehai,Lu Shuangfang,Xue Haitao,et al.Application of seismic attribute technique to Jurassic mudstone prediction in north Ustyurt Basin[J].China Petroleum Exploration, 2011,16(2):67-71.
[14]周家雄,刘薇薇,马光克,等.高温高压储层的精细地震属性预测技术——以莺歌海盆地为例[J].天然气工业,2013,33(2):7-11. Zhou Jiaxiong,Liu Weiwei,Ma Guangke,et al.Fine description and prediction of seismic attributes of HPHT gas reservoirs in the Yinggehai Basin[J].Natural Gas Industry, 2013,33(2):7-11.
[15]张旭峰,张进学,牟克勋,等.体属性分析在精细构造研究中的应用[J].新疆石油地质,2012,33(5): 599-601. Zhang Xufeng,Zhang Jinxue,Mou Kexun,et al.Application of volumetrictric attributes analysis to fine structural interpretation[J].Xinjiang Petroleum Geology,2012, 33(5):599-601.
[16]石军,熊苡.多元统计、聚类分析法在自然资源开发中的应用[J].山东理工大学学报:自然科学版,2003, 17(1):81-83. Shi Jun,Xiong Yi.Multivariate statistical and cluster analysis method applied in exploit of natural resources[J]. Journal of Shandong University of Technology:Natural Science Edition,2003,17(1):81-83.
[17]于秀林.多元统计分析[M].北京:中国统计出版社, 1999:61-97.
[18]苏金明,阮沈勇,王永利.Matlab工程数学[M].北京:电子工业出版社,2005:110-114.
[19]李操.基于地震属性的储层预测方法研究及初步应用[D].大庆:大庆石油学院,2006.
[20]李全,林畅松,吴伟,等.地震沉积学方法在确定沉积相边界方面的应用[J].西南石油大学学报:自然科学版,2010,32(4):50-55. Li Quan,Lin Changsong,Wu Wei,et al.Identify the boundary of depositional system by using seismic sedimentology [J].Journal of Southwest Petroleum University: Science & Technology Edition,2010,32(4):50-55.
[21]李秀鹏,曾洪流,查明.地震沉积学在识别三角洲沉积体系中的应用[J].成都理工大学学报:自然科学版, 2008,35(6):625-629. Li Xiupeng,Zeng Hongliu,Zha Ming.Mapping deltaic depositional systems using seismic sedimentology[J]. Journal of Chengdu University of Technology:Science & Technology Edition,2008,35(6):625-629.
[22]张军华,朱焕,高荣涛,等.地震复合属性——地震属性提取与解释新方法[J].新疆石油地质,2007,28(4): 494-503. Zhang Junhua,Zhu Huan,Gao Rongtao,et al.Compound attribute as new method for pickup and interpretation of seismic attributes[J].Xinjiang Petroleum Geology,2007, 28(4):494-503.
[23]刘伟,贺振华,陈学华.地震多属性在浊积扇河道砂体识别中的应用[J].西安石浦大学学报:自然科学版, 2011,26(5):6-10,16. Liu Wei,He Zhenhua,Chen Xuehua.Application of seismic multi-attributes in the identification of the channel sand in turbidite body[J].Journal of Xi'an Shiyou University: Natural Science Edition,2011,26(5):6-10,16.
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