LA地区盒8段优质储层的特征与分布预测
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摘要
鄂尔多斯盆地东缘LA地区二叠系盒8段为河流相致密砂岩储层,具有孔渗低、纵向层系薄、横向变化快的特点。如何刻画低孔渗背景下优质储层的分布是制约区块勘探的瓶颈问题。本文首先基于岩性、岩相、测井、测试等资料建立了本区储层分类的标准;其次分析总结了该区优质储层的岩相、地震相和岩石物理特征,明确了识别优质储层的地球物理参数;最后结合扩展弹性阻抗反演和随机反演的优点,采用序贯高斯配置协模拟技术来研究储层的孔隙度,实现了孔隙度的定量预测,指出了有利勘探靶区。
Tight reservoirs of the member 8 of Shihezi Formation in the area LA,Eastern Ordos Basin belong to the fluvial sedimentary system.These glutenite reservoirs are characterized by low porosity and low permeability,thin beds,and laterally quick change.How to depict the high-quality reservoir distribution in the area is a real problem.Firstly,we build the classification criteria of reservoirs in this area based on lithological,lithofacies,well logging,and test data.Then we specify optimum geophysical parameters to identify high-quality reservoirs with the analysis of their facies and rock physic characteristics.Finaly,we obtain high-quality reservoir characteristics and predict their distribution,and points out favorable exploration targets using the extended elastic impedance inversion and stochastic inversion,and the sequential Gauss simulation.
Tight reservoirs of the member 8 of Shihezi Formation in the area LA,Eastern Ordos Basin belong to the fluvial sedimentary system.These glutenite reservoirs are characterized by low porosity and low permeability,thin beds,and laterally quick change.How to depict the high-quality reservoir distribution in the area is a real problem.Firstly,we build the classification criteria of reservoirs in this area based on lithological,lithofacies,well logging,and test data.Then we specify optimum geophysical parameters to identify high-quality reservoirs with the analysis of their facies and rock physic characteristics.Finaly,we obtain high-quality reservoir characteristics and predict their distribution,and points out favorable exploration targets using the extended elastic impedance inversion and stochastic inversion,and the sequential Gauss simulation.
引文
[1]杨仁超,王秀平,樊爱萍等.苏里格气田东二区砂岩成岩作用与致密储层成因.沉积学报,2012,30(1):110-196.Yang Renchao,Wang Xiuping,Fan Aiping et al.Diagenesis of sandstone and genesis of compact reservoirs in the eastⅡpart of Sulige gas field,Ordos Basin.Acta Sedimentologica Sinica,2012,30(1):110-196.
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[3]侯加根,唐颖,刘钰铭等.鄂尔多斯盆地苏里格气田东区致密储层分布模式.岩性油气藏,2014,26(3):1-6.Hou Jiagen,Tang Ying,Liu Yuming et al.Distribution patterns of tight reservoirs in eastern Sulige gas field,Ordos Basin.Lithologic Reservoirs,2014,26(3):1-6.
[4]胡文瑞,翟光明,李景明.中国非常规油气的潜力和发展.中国工程科学,2010,12(5):25-29.Hu Wenrui,Zhai Guangming,Li Jingming.Potential and development of unconventional hydrocarbon resources in China.Engineering Sciences,2010,12(5):25-29.
[5]董宁,刘振峰,周小鹰等.鄂尔多斯盆地致密碎屑岩储层地震识别及预测.石油与天然气地质,2008,29(5):668-675.Dong Ning,Liu Zhenfeng,Zhou Xiaoying et al.Seismic detection and prediction of tight gas reservoirs in the Ordos Basin.Oil&Gas Geology,2008,29(5):668-675.
[6]苑书金.鄂尔多斯盆地大牛地气田下石盒子组地震储层预测技术的研究和应用.石油地球物理勘探,2008,43(1):48-52.Yuan Shujin.Study on technique of Lower Shihezi Formation reservoir prediction in Daniudi gasfield of Ordos Basin by seismic and application.OGP,2008,43(1):48-52.
[7]宋子齐,成志刚,孙迪等.利用岩石物理相流动单元“甜点”筛选致密储层含气有利区——以苏里格气田东区为例.天然气工业,2013,33(1):41-48.Song Ziqi,Cheng Zhigang,Sun Di et al.Identification of tight gas play fairways according to flow unit sweet spots of petrophysical facies:A case study from the eastern Sulige Gas Field.Natural Gas Industry,2013,33(1):41-48.
[8]李来林,赵海波,吴清岭.致密薄储层“甜点”的地震综合预测技术.大庆石油地质与开发,2014,33(5):203-208.Li Lailin,Zhao Haibo,Wu Qingling.Intergrated seismic predicting technique for the“sweet spot”in tight thin reservoirs.Petroleum Geology&Oilfield Development in Daqing,2014,33(5):203-208.
[9]桂金咏,高建虎,雍学善等.致密储层敏感弹性参数叠前同步反演方法.石油物探,2015,54(5):541-550.Gui Jinyong,Gao Jianhu,Yong Xueshan et al.Aprestack simultaneous inversion method for sensitive elastic parameters of tight reservoir.GPP,2015,54(5):541-550.
[10]王大兴.致密砂岩气储层的岩石物理模型研究.地球物理学报,2016,59(12):4603-4622.Wang Daxing.Study on the rock physics model of gas reservoirs in tight sandstone.Chinese Journal of Geophysics,2016,59(12):4603-4622.
[11]石油地质勘探专业标准化委员会.SY/T6832-2011致密砂岩气地质评价力法.北京:中国标准出版社,2011,1-10.Standardization Committee of Petroleum Geology.SY/T6832-2011 Geological Evaluating Methods for Tight Sandstone Gas.China Standards Press,Beijing,2011,1-10.
[12]张水山,刘勇江,刘贤红.建南地区须六段致密砂岩优质储层预测技术.岩性油气藏,2015,27(3):98-102.Zhang Shuishan,Liu Yongjiang,Liu Xianhong.Prediction technique of high-quality reservoir in tight reservoir of the sixth member of Xujiahe Formation in Jiannan area.Lithologic Reservoirs,2015,27(3):98-102.
[13]刘振峰,董宁,张永贵等.致密碎屑岩储层地震反演技术方案及应用.石油地球物理勘探,2012,47(2):298-304.Liu Zhenfeng,Dong Ning,Zhang Yonggui et al.Seismic inversion program for tight clastic reservoir and its application.OGP,2012,47(2):298-304.
[14]程志国,胡婷婷,瞿建华等.准噶尔盆地玛西地区致密砂砾岩优质薄储层预测.物探与化探,2015,39(5):891-896.Cheng Zhiguo,Hu Tingting,Qu Jianhua et al.Highquality and thin reservoir of tight conglomerate prediction in Maxi area of Junggar Basin.Geophysical and Geochemical Exploration,2015,39(5):891-896.
[15]何火华,李少华,杜家元等.利用地质统计学反演进行薄砂体储层预测.物探与化探,2011,35(6):804-808.He Huohua,Li Shaohua,Du Jiayuan et al.The application of geostatistic inversion method to predicting the thin sandstone reservoir.Geophysical and Geochemical Exploration,2011,35(6):804-808.
[16]王香文,刘红,滕彬彬等.地质统计学反演技术在薄储层预测中的应用.石油与天然气地质,2012,33(5):4-10.Wang Xiangwen,Liu Hong,Teng Binbin et al.Application of geostatistical inversion to thin reservoir prediction.Oil&Gas Geology,2012,33(5):4-10.
[17]孙思敏,彭仕宓.地质统计学反演方法及其在薄层砂体预测中的应用.西安石油大学学报(自然科学版),2007,22(1):41-44.Sun Simin,Peng Shimi.Geostatistical inversion method and its application in the prediction of thin reservoirs.Journal of Xi'an Shiyou University(Natural Science Edition),2007,22(1):41-44.
[18]牛聪,刘春成,刘志斌等.扩展弹性阻抗反演在储层预测中的应用.石油地球物理勘探,2011,46(增刊1):67-71.Niu Cong,Liu Chuncheng,Liu Zhibin et al.Application of EEI invsersion in reservoir prediction.OGP,2011,46(S1):67-71.
[19]时磊,刘俊州,董宁等.扩展弹性阻抗反演技术在致密砂岩薄储层含气性预测中的应用.物探与化探,2015,39(2):346-351.Shi Lei,Liu Junzhou,Dong Ning et al.Extended elastic impedance inversion technology and its application to the tight and thin sandstone reservoir.Geophysical and Geochemical Exploration,2015,39(2):346-351.
[20]王霞,张延庆,于志龙等.叠前反演结合地质统计模拟预测薄储层.石油地球物理勘探,2011,46(5):744-748.Wang Xia,Zhang Yanqing,Yu Zhilong et al.Thin reservoir prediction by prestack inversion combined with geostatistic simulation.OGP,2011,46(5):744-748.
[21]韩翀,臧殿光,李建华.地质统计学反演在四川盆地L地区储层预测中的应用.物探化探计算技术,2010,32(3):310-315.Han Chong,Zang Dianguang,Li Jianhua.The application of geostatistical inversion to reservoir prediction of L area in Sichuan Basin.Computing Techniques for Geophysical and Geochemical Exploration,2010,32(3):310-315.
[22]闫玲玲,刘全稳,张丽娟等.叠后地质统计学反演在碳酸盐岩储层预测中的应用:以哈拉哈塘油田新垦区块为例.地学前缘,2015,22(6):177-184.Yan Lingling,Liu Quanwen,Zhang Lijuan et al.Poststack geo-statistics inversion in the application of the carbonate rocks reservoir prediction:In Xinken area,Halahatang oil field as an example.Earth Science Frontiers,2015,22(6):177-184.
[23]姜文龙,杨楷.岩石物理参数高分辨率地质统计学反演.石油物探,2012,51(6):638-648.Jiang Wenlong,Yang Kai.High-resolution geostatistical petrophysical-parameter inversion.GPP,2012,51(6):638-648.
[24]李东安,宁俊瑞,刘振峰.用神经网络和地质统计学综合多元信息进行储层预测.石油与天然气地质,2010,31(4):493-498.Li Dong’an,Ning Junrui,Liu Zhenfeng.Reservoir prediction with integrated information based on artificial neural network technology and geostatistics.Oil&Gas Geology,2010,31(4):493-498.
[25]姜晓宇,计智锋,毛凤军等.随机模拟技术在储层物性研究中的应用.地球物理学进展,2014,29(6):2665-2668.Jiang Xiaoyu,Ji Zhifeng,Mao Fengjun et al.Application of random simulation method in the study of physical property of reservoir.Progress in Geophysics,2014,29(6):2665-2668.
[26]杨丽兵,张虹,谯述蓉等.随机地震反演在川西坳陷DY构造储层预测中的应用.石油物探,2010,49(4):371-379.Yang Libing,Zhang Hong,Qiao Shurong et al.Application of stochastic seismic inversion on reservoir prediction of DY structure in western Sichuan depression.GPP,2010,49(4):371-379.
[27]余振,何静,魏福吉等.序贯指示模拟和序贯高斯模拟在某地区精细流体预测中的联合应用.天然气地球科学,2012,23(6):1170-1174.Yu Zhen,He Jing,Wei Fuji et al.Joint application of sequential indicator simulation and sequential Gaussian simulatin for detailed fluid prediction in a certain area.Nartuarl Gas Geoscicence,2012,23(6):1170-1174.
[2]张晓峰,侯明才,陈安清等.鄂尔多斯盆地东北部下石盒子组致密砂岩储层特征及主控因素.天然气工业,2010,30(11):34-38.Zhang Xiaofeng,Hou Mingcai,Chen Anqing et al.Features and main controlling factors of tight sandstone reservoirs in the Lower Shihezi Formation in the northeastern Ordos basin.Natural Gas Industry,2010,30(11):34-38.
[3]侯加根,唐颖,刘钰铭等.鄂尔多斯盆地苏里格气田东区致密储层分布模式.岩性油气藏,2014,26(3):1-6.Hou Jiagen,Tang Ying,Liu Yuming et al.Distribution patterns of tight reservoirs in eastern Sulige gas field,Ordos Basin.Lithologic Reservoirs,2014,26(3):1-6.
[4]胡文瑞,翟光明,李景明.中国非常规油气的潜力和发展.中国工程科学,2010,12(5):25-29.Hu Wenrui,Zhai Guangming,Li Jingming.Potential and development of unconventional hydrocarbon resources in China.Engineering Sciences,2010,12(5):25-29.
[5]董宁,刘振峰,周小鹰等.鄂尔多斯盆地致密碎屑岩储层地震识别及预测.石油与天然气地质,2008,29(5):668-675.Dong Ning,Liu Zhenfeng,Zhou Xiaoying et al.Seismic detection and prediction of tight gas reservoirs in the Ordos Basin.Oil&Gas Geology,2008,29(5):668-675.
[6]苑书金.鄂尔多斯盆地大牛地气田下石盒子组地震储层预测技术的研究和应用.石油地球物理勘探,2008,43(1):48-52.Yuan Shujin.Study on technique of Lower Shihezi Formation reservoir prediction in Daniudi gasfield of Ordos Basin by seismic and application.OGP,2008,43(1):48-52.
[7]宋子齐,成志刚,孙迪等.利用岩石物理相流动单元“甜点”筛选致密储层含气有利区——以苏里格气田东区为例.天然气工业,2013,33(1):41-48.Song Ziqi,Cheng Zhigang,Sun Di et al.Identification of tight gas play fairways according to flow unit sweet spots of petrophysical facies:A case study from the eastern Sulige Gas Field.Natural Gas Industry,2013,33(1):41-48.
[8]李来林,赵海波,吴清岭.致密薄储层“甜点”的地震综合预测技术.大庆石油地质与开发,2014,33(5):203-208.Li Lailin,Zhao Haibo,Wu Qingling.Intergrated seismic predicting technique for the“sweet spot”in tight thin reservoirs.Petroleum Geology&Oilfield Development in Daqing,2014,33(5):203-208.
[9]桂金咏,高建虎,雍学善等.致密储层敏感弹性参数叠前同步反演方法.石油物探,2015,54(5):541-550.Gui Jinyong,Gao Jianhu,Yong Xueshan et al.Aprestack simultaneous inversion method for sensitive elastic parameters of tight reservoir.GPP,2015,54(5):541-550.
[10]王大兴.致密砂岩气储层的岩石物理模型研究.地球物理学报,2016,59(12):4603-4622.Wang Daxing.Study on the rock physics model of gas reservoirs in tight sandstone.Chinese Journal of Geophysics,2016,59(12):4603-4622.
[11]石油地质勘探专业标准化委员会.SY/T6832-2011致密砂岩气地质评价力法.北京:中国标准出版社,2011,1-10.Standardization Committee of Petroleum Geology.SY/T6832-2011 Geological Evaluating Methods for Tight Sandstone Gas.China Standards Press,Beijing,2011,1-10.
[12]张水山,刘勇江,刘贤红.建南地区须六段致密砂岩优质储层预测技术.岩性油气藏,2015,27(3):98-102.Zhang Shuishan,Liu Yongjiang,Liu Xianhong.Prediction technique of high-quality reservoir in tight reservoir of the sixth member of Xujiahe Formation in Jiannan area.Lithologic Reservoirs,2015,27(3):98-102.
[13]刘振峰,董宁,张永贵等.致密碎屑岩储层地震反演技术方案及应用.石油地球物理勘探,2012,47(2):298-304.Liu Zhenfeng,Dong Ning,Zhang Yonggui et al.Seismic inversion program for tight clastic reservoir and its application.OGP,2012,47(2):298-304.
[14]程志国,胡婷婷,瞿建华等.准噶尔盆地玛西地区致密砂砾岩优质薄储层预测.物探与化探,2015,39(5):891-896.Cheng Zhiguo,Hu Tingting,Qu Jianhua et al.Highquality and thin reservoir of tight conglomerate prediction in Maxi area of Junggar Basin.Geophysical and Geochemical Exploration,2015,39(5):891-896.
[15]何火华,李少华,杜家元等.利用地质统计学反演进行薄砂体储层预测.物探与化探,2011,35(6):804-808.He Huohua,Li Shaohua,Du Jiayuan et al.The application of geostatistic inversion method to predicting the thin sandstone reservoir.Geophysical and Geochemical Exploration,2011,35(6):804-808.
[16]王香文,刘红,滕彬彬等.地质统计学反演技术在薄储层预测中的应用.石油与天然气地质,2012,33(5):4-10.Wang Xiangwen,Liu Hong,Teng Binbin et al.Application of geostatistical inversion to thin reservoir prediction.Oil&Gas Geology,2012,33(5):4-10.
[17]孙思敏,彭仕宓.地质统计学反演方法及其在薄层砂体预测中的应用.西安石油大学学报(自然科学版),2007,22(1):41-44.Sun Simin,Peng Shimi.Geostatistical inversion method and its application in the prediction of thin reservoirs.Journal of Xi'an Shiyou University(Natural Science Edition),2007,22(1):41-44.
[18]牛聪,刘春成,刘志斌等.扩展弹性阻抗反演在储层预测中的应用.石油地球物理勘探,2011,46(增刊1):67-71.Niu Cong,Liu Chuncheng,Liu Zhibin et al.Application of EEI invsersion in reservoir prediction.OGP,2011,46(S1):67-71.
[19]时磊,刘俊州,董宁等.扩展弹性阻抗反演技术在致密砂岩薄储层含气性预测中的应用.物探与化探,2015,39(2):346-351.Shi Lei,Liu Junzhou,Dong Ning et al.Extended elastic impedance inversion technology and its application to the tight and thin sandstone reservoir.Geophysical and Geochemical Exploration,2015,39(2):346-351.
[20]王霞,张延庆,于志龙等.叠前反演结合地质统计模拟预测薄储层.石油地球物理勘探,2011,46(5):744-748.Wang Xia,Zhang Yanqing,Yu Zhilong et al.Thin reservoir prediction by prestack inversion combined with geostatistic simulation.OGP,2011,46(5):744-748.
[21]韩翀,臧殿光,李建华.地质统计学反演在四川盆地L地区储层预测中的应用.物探化探计算技术,2010,32(3):310-315.Han Chong,Zang Dianguang,Li Jianhua.The application of geostatistical inversion to reservoir prediction of L area in Sichuan Basin.Computing Techniques for Geophysical and Geochemical Exploration,2010,32(3):310-315.
[22]闫玲玲,刘全稳,张丽娟等.叠后地质统计学反演在碳酸盐岩储层预测中的应用:以哈拉哈塘油田新垦区块为例.地学前缘,2015,22(6):177-184.Yan Lingling,Liu Quanwen,Zhang Lijuan et al.Poststack geo-statistics inversion in the application of the carbonate rocks reservoir prediction:In Xinken area,Halahatang oil field as an example.Earth Science Frontiers,2015,22(6):177-184.
[23]姜文龙,杨楷.岩石物理参数高分辨率地质统计学反演.石油物探,2012,51(6):638-648.Jiang Wenlong,Yang Kai.High-resolution geostatistical petrophysical-parameter inversion.GPP,2012,51(6):638-648.
[24]李东安,宁俊瑞,刘振峰.用神经网络和地质统计学综合多元信息进行储层预测.石油与天然气地质,2010,31(4):493-498.Li Dong’an,Ning Junrui,Liu Zhenfeng.Reservoir prediction with integrated information based on artificial neural network technology and geostatistics.Oil&Gas Geology,2010,31(4):493-498.
[25]姜晓宇,计智锋,毛凤军等.随机模拟技术在储层物性研究中的应用.地球物理学进展,2014,29(6):2665-2668.Jiang Xiaoyu,Ji Zhifeng,Mao Fengjun et al.Application of random simulation method in the study of physical property of reservoir.Progress in Geophysics,2014,29(6):2665-2668.
[26]杨丽兵,张虹,谯述蓉等.随机地震反演在川西坳陷DY构造储层预测中的应用.石油物探,2010,49(4):371-379.Yang Libing,Zhang Hong,Qiao Shurong et al.Application of stochastic seismic inversion on reservoir prediction of DY structure in western Sichuan depression.GPP,2010,49(4):371-379.
[27]余振,何静,魏福吉等.序贯指示模拟和序贯高斯模拟在某地区精细流体预测中的联合应用.天然气地球科学,2012,23(6):1170-1174.Yu Zhen,He Jing,Wei Fuji et al.Joint application of sequential indicator simulation and sequential Gaussian simulatin for detailed fluid prediction in a certain area.Nartuarl Gas Geoscicence,2012,23(6):1170-1174.