鄂尔多斯盆地北部上古生界致密砂岩气藏储层建模
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摘要
鄂尔多斯盆地北部上古生界致密砂岩气藏普遍具有岩性致密、低孔、低渗的地质特征,其地球物理异常往往较为微弱,先验地质模型特征模糊、地球物理数据体约束性差,从而导致最终构建的储层地质模型不能充分体现致密砂岩气藏储层较强的非均质性特征。为了解决该区致密砂岩气藏储层建模中遇到的实际问题,提出了将地质研究和地震数据信息充分结合起来的储层模型构建方案。在该方案中,在储层地质研究的基础上构建储层地质知识库,量化先验地质认识;通过地震属性优化和储层地震反演,构建对储层参数较为敏感的地震约束信息库;通过精细速度模型构建,将时间域和深度域的数据信息很好地进行匹配;通过构造建模、沉积相/岩相建模、相控下的连续型储层参数建模,建立起完备的致密砂岩储层地质模型。通过该方案在大牛地气田致密砂岩气藏储层建模中的实施和应用,证实了该方案的有效性。
The tight gas sands in the Upper Palaeozoic in northern Ordos Basin feature in tightness,low porosity and low permeability.Their geophysical anomalies are often insignificant,characteristics of priori geological models are ambiguous,and constraints on corresponding geophysical data volume are poor.For these reasons, the final reservoir model can not reflect exactly the heterogeneity of the tight gas sands.In order to solve these problems in modeling of the tight gas sands in the study area,geologic research results and seismic information are fully integrated in reservoir modeling.A reservoir geology database is first created based on geologic research results and is used to quantify the priori geologic knowledge.Then,a database of seismic constraints which are sensitive to reservoir parameters is created through seismic attribute optimization and seismic inversion.Next, information of time and depth domains is matched by building a fine velocity model.Finally,an integrated geologic model of the tight gas sands is established based on structure modeling,sedimentary facies/ lithofacies modeling and continuous reservoir parameter modeling under the control sedimentary facies.Application to reservoir modeling of the tight gas sands in the Daniudi gas field verifies its effectiveness.
The tight gas sands in the Upper Palaeozoic in northern Ordos Basin feature in tightness,low porosity and low permeability.Their geophysical anomalies are often insignificant,characteristics of priori geological models are ambiguous,and constraints on corresponding geophysical data volume are poor.For these reasons, the final reservoir model can not reflect exactly the heterogeneity of the tight gas sands.In order to solve these problems in modeling of the tight gas sands in the study area,geologic research results and seismic information are fully integrated in reservoir modeling.A reservoir geology database is first created based on geologic research results and is used to quantify the priori geologic knowledge.Then,a database of seismic constraints which are sensitive to reservoir parameters is created through seismic attribute optimization and seismic inversion.Next, information of time and depth domains is matched by building a fine velocity model.Finally,an integrated geologic model of the tight gas sands is established based on structure modeling,sedimentary facies/ lithofacies modeling and continuous reservoir parameter modeling under the control sedimentary facies.Application to reservoir modeling of the tight gas sands in the Daniudi gas field verifies its effectiveness.
引文
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[19]Zhang T,Bombarde S,Strebelle S,et al.3D porosity modeling of a carbonate reservoir using continuous multiple-point statistics simulation[J].SPE 96308,2006,11(3):113-130.
[2]唐海发,彭仕宓,赵彦超,等.致密砂岩储层物性的主控因素分析[J].西安石油大学学报(自然科学版),2007, 22(1):59-63. Tang Haifa,Peng Shimi,Zhao Yanchao,et al.Analysis of main control factors of the physical property of tight sandstone reservoir[J].Journal of Xi 'an Shiyou University(Naturnal Science Edition),2007,22(1):59 -63.
[3]丁晓琪,张哨楠,周文,等.鄂尔多斯盆地北部上古生界致密砂岩储层特征及其成因探讨[J].石油与天然气地质, 2007,28(4):491-496. DingXiaoqi,Zhang Shaonan,Zhou Wen,et al.Characteristics and genesis of the Upper Paleozoic tight sandstone reservoirs in the northern Ordos basin[J].Oil & Gas Geology, 2007,28(4):491 -496.
[4]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.
[5]陈昭佑,王光强.鄂尔多斯盆地大牛地气田山西组砂体组合类型及成因模式[J].石油与天然气地质,2010,31 (5):632-639. Chen Zhaoyou,Wang Guangqiang.Assemblage types and genetic models of the Shanxi sandbodies in Daniudi gasfield,the Ordos Basin[J].Oil & Gas Geology,2010,31(5):632 -639.
[6]董昭雄,沈昭国,何国贤,等.鄂尔多斯盆地大牛地气田山1段储层与沉积微相的关系[J].石油与天然气地质, 2009,30(2):162-167. Dong Zhaoxiong,Shen Zhaoguo,He Guoxian,et al.Relationship of sedimentary microfacies with reservoirs in the Shan-1 Member of the Daniudi gas field,Ordos Basin[J].Oil & Gas Geology,2009,30(2):162 - 167.
[7]郝蜀民,惠宽洋,李良鄂尔多斯盆地大牛地大型低渗气田成藏特征及其勘探开发技术[J].石油与天然气地质, 2006,27(6):762-768. Hao Shumin,Hui Kuanyang,Li Liang.Reservoiring features of Daniudi low-permeability gas field in Ordos basin and its exploration and development technologies[J].Oil & Gas Geology, 2006,27(6):762-768.
[8]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[J].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 [J].Oil & Gas Geology,2008,29(5):668 -675.
[9]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[J].石油与天然气地质,2010,31 (4):493-498. Li Dongan,Ning Junrui,Liu Zhenfeng.Reservoir prediction with integrated information based on artificial neural network technology and geostatistics[J].Oil & Gas Geology,2010, 31(4):493-498.
[10]于兴河.油气储层表征与随机建模的发展历程及展望[J].地学前缘,2008,15(1):1-15. Yu Xinghe.A review of development course and prospect of petroleum reservoir characterization and stochastic modeling [J].Earth Science Frontiers,2008,15(1):1 -15.
[11]王家华.迎接油气储层建模理论、应用的大发展——从2007年国际石油地质统计学大会谈起[J].地学前缘, 2008,15(1):16-25. Wang Jiahua.Greeting the great development of theories and applications of reservoir modeling.[J].Earth Science Frontiers, 2008,15(1):16 -25.
[12]Lucia,Jerry F,Kerans,et al.Technology today series article [J].SPE82071,2003.
[13]Tang Hong,Ji Hancheng.Incorporation of spatial characteristics into volcanic facies and favorable reservoir prediction[J], SPE 90847,2004.
[14]Tamhane D,Wang L,Wong P M.The role of geology in stochastic reservoir modelling:the future trends[J].SPE 54307, 1999,4:20-22.
[15]Martinez R D,Corinish B E,Seymour.An integrated approach for reservoir description using seismic,borehole,and geologic data[C]//SPE annual technical conference and exhibition, Texas,San Antonio,1989:81-11.
[16]Moore J.Reservoir mapping problems in the United Kingdom Sector of the North Sea[C]// SPE european meeting,United Kingdom:London,1973.
[17]Harris D G,Sarg J F,Branisa F,et al.Trace inversion for interpreting reservoir continuity and lithology[C]// International petroleum exhibition and technical symposium,China:Beijing, 1982:17-24.
[18]McDonald J A,Gardner H F,Morris R I.Reservoir characterizatio n by areal seismic methods[C]// International petroleum exhibition and technical symposium,China:Beijing,1982: 17-24.
[19]Zhang T,Bombarde S,Strebelle S,et al.3D porosity modeling of a carbonate reservoir using continuous multiple-point statistics simulation[J].SPE 96308,2006,11(3):113-130.
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