辫状河相致密砂岩气藏三维地质建模
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摘要
针对常规地质建模方法在辫状河相致密砂岩气藏适用性差的问题,以鄂尔多斯盆地苏里格气田为研究对象,提出"多期约束,分级相控,多步建模"建模方法。该方法采用测井约束地震反演自然伽马场,并在先验地质信息控制下建立自然伽马模型;回归自然伽马模型与砂岩概率的关系,建立砂岩概率体,并通过多点地质统计学方法建立岩石相模型;然后建立岩石相、辫状河体系双重控制下的沉积微相模型;最后综合沉积微相、有效砂体规模、储集层参数分布等因素,建立有效砂体模型。建模中尽可能将地质约束条件加入地质模型,增强了井间砂体预测的精度,提高了三维地质模型的可靠性,为天然气开发提供更可靠的地质依据。图6表4参20
Considering the poor applicability of conventional geological modeling to tight sand gas reservoir in braided river facies, a modeling method of "multi-stage constraint, hierarchical facies and multi-step models" was put forward taking Sulige gas field in Ordos Basin as the study object. The method obtains the GR field by seismic inversion constrained by logging data, and GR modeling is built under the control of the prior geological knowledge; the relation regression is realized between the GR model and the sandstone probability, sandstone probability modeling is built, and rock facies modeling is obtained by multi-point geostatistics theory; sedimentary microfacies modeling controlled by rock facies and braided-river-system is made; and eventually build effective sand body modeling by integrating sedimentary microfacies, effective sand body scale and reservoir properties distribution. The research method discussed in this paper has put geological constraints into the model as far as possible, enhanced the inter-well sand body predictability and improved the precision rate, thus it can provide a more reliable geological basis for gas reservoir development.
Considering the poor applicability of conventional geological modeling to tight sand gas reservoir in braided river facies, a modeling method of "multi-stage constraint, hierarchical facies and multi-step models" was put forward taking Sulige gas field in Ordos Basin as the study object. The method obtains the GR field by seismic inversion constrained by logging data, and GR modeling is built under the control of the prior geological knowledge; the relation regression is realized between the GR model and the sandstone probability, sandstone probability modeling is built, and rock facies modeling is obtained by multi-point geostatistics theory; sedimentary microfacies modeling controlled by rock facies and braided-river-system is made; and eventually build effective sand body modeling by integrating sedimentary microfacies, effective sand body scale and reservoir properties distribution. The research method discussed in this paper has put geological constraints into the model as far as possible, enhanced the inter-well sand body predictability and improved the precision rate, thus it can provide a more reliable geological basis for gas reservoir development.
引文
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[14]郭智,杨少春,贾爱林,等.薄砂层多开发层系油田测井精细解释方法[J].石油学报,2013,34(6):1137-1142.Guo Zhi,Yang Shaochun,Jia Ailin,et al.Fine log interpretation for oilfields with thin sands and multiple developed layer systems[J].Acta Petrolei Sinica,2013,34(6):1137-1142.
[15]艾宁,唐永,杨文龙,等.基于模糊神经网络的致密砂岩储层反演:以长岭断陷1号气田登娄库组为例[J].石油与天然气地质,2013,34(3):413-420.Ai Ning,Tang Yong,Yang Wenlong,et al.Fuzzy neutral network-based tight sandstone reservoir inversion:A case study from the Denglouku Formation in Changling 1 gas field[J].Oil&Gas Geology,2013,34(3):413-420.
[16]Deutsch C V,Wang Libing.Hierarchical object-based geostatistical modeling of fluvial reservoirs[J].Mathematical Geology,1996,28(7):857-880.
[17]Strebelle S B,Journel A G.Reservoir modeling using multiple-point statistics[R].SPE 71324,2001.
[18]石书缘,尹艳树,冯文杰.多点地质统计学建模的发展趋势[J].物探与化探,2012,36(4):655-660.Shi Shuyuan,Yin Yanshu,Feng Wenjie.The development and prospect of multiple-point geostatistics modeling[J].Geophysical&Geochemical Exploration,2012,36(4):655-660.
[19]吴胜和.储层表征与建模[M].北京:石油工业出版社,2010.Wu Shenghe.Reservoir characterization&modeling[M].Beijing:Petroleum Industry Press,2010.
[20]李少华,刘显太,王军,等.基于沉积过程建模算法Alluvsim的改进[J].石油学报,2013,34(1):140-144.Li Shaohua,Liu Xiantai,Wang Jun,et al.Improvement of the Alluvsim algorithm modeling based on depositional processes[J].Acta Petrolei Sinica,2013,34(1):140-144.
[2]张焕芝,何艳青,陈文征.加快致密气开发的政策研究[J].石油科技论坛,2014,33(4):13-16.Zhang Huanzhi,He Yanqing,Chen Wenzheng.Accelerate policy research on compact gas development[J].Oil Forum,2014,33(4):13-16.
[3]孙龙德,邹才能,朱如凯,等.中国深层油气形成、分布与潜力分析[J].石油勘探与开发,2013,40(6):641-649.Sun Longde,Zou Caineng,Zhu Rukai,et al.Formation,distribution and potential of deep hydrocarbon resources in China[J].Petroleum Exploration and Development,2013,40(6):641-649.
[4]张文才,顾岱鸿,赵颖,等.苏里格气田二叠系相对低密度砂岩特征及成因[J].石油勘探与开发,2004,31(1):57-59.Zhang Wencai,Gu Daihong,Zhao Ying,et al.Characteristics and generating mechanism of Permian relative low-density sandstone in Sulige Gas Field,Northwest China[J].Petroleum Exploration and Development,2004,31(1):57-59.
[5]陈凤喜,卢涛,达世攀,等.苏里格气田辫状河沉积相研究及其在地质建模中的应用[J].石油地质与工程,2008,22(2):21-24.Chen Fengxi,Lu Tao,Da Shipan,et al.Study on sedimentary facies of braided stream and its application in geological modeling in Sulige gas field[J].Petroleum Geology and Engineering,2008,22(2):21-24.
[6]吴胜和,李宇鹏.储层地质建模的现状与展望[J].海相油气地质,2007,12(3):53-60.Wu Shenghe,Li Yupeng.Reservoir modeling:Current situation and development prospect[J].Marine Origin Petroleum Geology,2007,12(3):53-60.
[7]贾爱林.中国储层地质模型20年[J].石油学报,2011,32(1):181-188.Jia Ailin.Research achievements on reservoir geological modeling of China in the past two decades[J].Acta Petrolei Sinica,2011,32(1):181-188.
[8]贾爱林,程立华.数字化精细油藏描述程序方法[J].石油勘探与开发,2010,37(6):623-627.Jia Ailin,Cheng Lihua.The technique of digital detailed reservoir characterization[J].Petroleum Exploration and Development,2010,37(6):623-627.
[9]吴键,李凡华.三维地质建模与地震反演结合预测含油单砂体[J].石油勘探与开发,2009,36(5):623-627.Wu Jian,Li Fanhua.Prediction of oil bearing single sand body by 3D geological modeling combined with seismic inversion[J].Petroleum Exploration and Development,2009,36(5):623-627.
[10]孙龙德,撒利明,董世泰.中国未来油气新领域与物探技术对策[J].石油地球物理勘探,2013,48(2):317-324.Sun Longde,Sa Liming,Dong Shitai.New challenges for the future hydrocarbon in China and geophysical technology strategy[J].Oil Geophysical Prospecting,2013,48(2):317-324.
[11]卢涛,李文厚,杨勇.苏里格气田盒8气藏的砂体展布特征[J].矿物岩石,2006,26(2):100-105.Lu Tao,Li Wenhou,Yang Yong.The sandstone distribution characteristics of He-8 gas reservoir of Sulige gas field[J].Mineral Petrol,2006,26(2):100-105.
[12]贾爱林,郭建林,何东博.精细油藏描述技术与发展方向[J].石油勘探与开发,2007,34(6):691-695.Jia Ailin,Guo Jianlin,He Dongbo.Perspective of development in detailed reservoir description[J].Petroleum Exploration and Development,2007,34(6):691-695.
[13]何东博,贾爱林,田昌炳,等.苏里格气田储集层成岩作用及有效储集层成因[J].石油勘探与开发,2004,31(3):69-71.He Dongbo,Jia Ailin,Tian Changbing,et al.Diagenesis and genesis of effective sandstone reservoirs in the Sulige gas field[J].Petroleum Exploration and Development,2004,31(3):69-71.
[14]郭智,杨少春,贾爱林,等.薄砂层多开发层系油田测井精细解释方法[J].石油学报,2013,34(6):1137-1142.Guo Zhi,Yang Shaochun,Jia Ailin,et al.Fine log interpretation for oilfields with thin sands and multiple developed layer systems[J].Acta Petrolei Sinica,2013,34(6):1137-1142.
[15]艾宁,唐永,杨文龙,等.基于模糊神经网络的致密砂岩储层反演:以长岭断陷1号气田登娄库组为例[J].石油与天然气地质,2013,34(3):413-420.Ai Ning,Tang Yong,Yang Wenlong,et al.Fuzzy neutral network-based tight sandstone reservoir inversion:A case study from the Denglouku Formation in Changling 1 gas field[J].Oil&Gas Geology,2013,34(3):413-420.
[16]Deutsch C V,Wang Libing.Hierarchical object-based geostatistical modeling of fluvial reservoirs[J].Mathematical Geology,1996,28(7):857-880.
[17]Strebelle S B,Journel A G.Reservoir modeling using multiple-point statistics[R].SPE 71324,2001.
[18]石书缘,尹艳树,冯文杰.多点地质统计学建模的发展趋势[J].物探与化探,2012,36(4):655-660.Shi Shuyuan,Yin Yanshu,Feng Wenjie.The development and prospect of multiple-point geostatistics modeling[J].Geophysical&Geochemical Exploration,2012,36(4):655-660.
[19]吴胜和.储层表征与建模[M].北京:石油工业出版社,2010.Wu Shenghe.Reservoir characterization&modeling[M].Beijing:Petroleum Industry Press,2010.
[20]李少华,刘显太,王军,等.基于沉积过程建模算法Alluvsim的改进[J].石油学报,2013,34(1):140-144.Li Shaohua,Liu Xiantai,Wang Jun,et al.Improvement of the Alluvsim algorithm modeling based on depositional processes[J].Acta Petrolei Sinica,2013,34(1):140-144.
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