基于地震、测井和地质综合一体化的储层精细建模
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摘要
以渤海某油田新近系明化镇组下段缓坡三角洲平原亚相分流河道储层为例,利用以精细地质建模为目的的地震、测井和地质一体化综合研究方法,合理划分模拟单元并定量描述各单元内沉积微相特征;结合相概率函数和砂体连通概率等定量约束条件,建立了半定量—定量储层地质知识库,实现了等时建模、成因控制相建模、确定性条件约束随机建模三者的有效结合;采用基于目标的随机模拟方法建立了储层地质模型。对基于目标的分段模拟方法和河道模拟方法的沉积微相模拟结果进行的对比表明,前者能更好地实现河道主流线、相概率函数、井间砂体连通概率等多个条件的约束,其模拟结果与地质认识更吻合。依据相控建模思路及各微相砂体物性参数,采用协同模拟方法建立了物性参数模型。实际井资料表明,以地质模型为基础的数值模拟结果与生产动态吻合较好。
The distributary river course reservoir in the Lower Member of Minghuazhen Formation in an oilfield of Bohai Basin was modeled.The modeling units were divided using the integrated geological modeling method based on seismic,log and geological data.The sedimentary micro-facies features of the modeling units were described.The geological knowledge base,including quantitative description of microfacies in every unit,probability function of facies,connection probability of sand body,was established.The geological model of reservoir was proposed on the basis of stochastic reservoir modeling by using an object-based simulation method.Considering the sedimentary features of the reservoir in the lower member of Minghuazhen Formation of the Neocene,the subsection simulation method is much better than channel simulation method in the constraints such as flow lines,probability function of facies,connection probability of sand bodies.On the basis of the facies-constrained stochastic simulation and the geological statistical parameters,the physical models for describing the three-dimensional distribution of physical parameters of reservoir were built up.The simulation result based on this reservoir model fits well with the production performance.
The distributary river course reservoir in the Lower Member of Minghuazhen Formation in an oilfield of Bohai Basin was modeled.The modeling units were divided using the integrated geological modeling method based on seismic,log and geological data.The sedimentary micro-facies features of the modeling units were described.The geological knowledge base,including quantitative description of microfacies in every unit,probability function of facies,connection probability of sand body,was established.The geological model of reservoir was proposed on the basis of stochastic reservoir modeling by using an object-based simulation method.Considering the sedimentary features of the reservoir in the lower member of Minghuazhen Formation of the Neocene,the subsection simulation method is much better than channel simulation method in the constraints such as flow lines,probability function of facies,connection probability of sand bodies.On the basis of the facies-constrained stochastic simulation and the geological statistical parameters,the physical models for describing the three-dimensional distribution of physical parameters of reservoir were built up.The simulation result based on this reservoir model fits well with the production performance.
引文
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[3]Damsleth E,Omre H,Haldorsen H,et al.A two-stage stochasticmodel applied to North Sea reservoir[J].Journal of PetroleumGeology,1992,44(4):402-408.
[4]崇仁杰,刘静.以地震反演资料为基础的相控储层建模方法在BZ25-1油田的应用[J].中国海上油气(地质),2003,17(5):307-311.Chong Renjie,Liu Jing.Application of a facies-controlled reser-voir modeling method based on seismic inversion data in BZ25-1Oilfield[J].China Offshore Oil and Gas(Geology),2003,17(5):307-311.
[5]王西文.精细储层预测技术在油田开发中的应用[J].石油地球物理勘探,2005,40(2):209-218.Wang Xiwen.Application of fine reservoir prediction technique tooilfield development[J].Oil Geophysical Prospect,2005,40(2):209-218.
[6]王晖.综合应用地震、地质和测井资料预测储层分布[J].中国海上油气(地质),2001,15(2):135-140.Wang Hui.Reservoir prediction by using seismic,geological,andlog data[J].China Offshore Oil and Gas(Geology),2001,15(2):135-140.
[7]陈殿远.随机地震反演技术在WC13-1油田随机地质建模中的应用[J].中国海上油气,2004,16(4):250-253.Chen Dianyuan.An application of seismic stochastic inversiontechnique to geological modeling in WC13-1Oilfield[J].ChinaOffshore Oil and Gas,2004,16(4):250-253.
[8]沈杨.河流相储层综合预测方法探索[J].沉积与特提斯地质,2002,22(4):84-91.Shen Yang.An approach to the prediction of fluvial reservoirs[J].Sedimentary Geology and Tethyan Geology,2002,22(4):84-91.
[9]Walton A W,Bouquet D J,Evenson R A,et al.Characterizationof sandstone reservoirs in the Cherokee Group(Pennsylvanian,Desmoinesiam)of Southeastern kansas[M]∥Lake L W,CarrollH B Jr.Reservoir characterization.Orlando,USA:AcademicPress,1986:39-62.
[10]吴胜和,张一伟,李恕军,等.提高储层随机建模精度的地质约束原则[J].石油大学学报:自然科学版,2001,25(1):55-58.Wu Shenghe,Zhang Yiwei,Li Shujun,et al.Geological constraintprinciples in reservoir stochastic modeling[J].Journal of the Univer-sity of Petroleum,China:Natural Science Edition,2001,25(1):55-58.
[11]吕晓光,潘懋,王家华,等.指示主成分模拟建立分流河道砂体相模型及意义[J].石油学报,2003,24(1):51-57.LüXiaoguang,Pan Mao,Wang Jiahua,et al.Microfacies model-ing for distributary channel sandbody by using indicator principalcomponent simulation[J].Acta Petrolei Sinica,2003,24(1):51-57.
[12]Holden L,Hauge R,Skare,et al.Modeling of fluvial reservoirs withobject models[J].Mathematical Geology,1998,30(5):473-495.
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