基于孔隙网络模型的砂砾岩微观水驱油驱替特征
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摘要
基于胜利油区砂砾岩油藏储层微观结构特征,采用双峰态曲线作为表征喉道半径的分布,结合储层微观孔隙结构参数(如孔喉比、配位数、形状因子等),建立反映砂砾岩岩石孔隙空间的三维孔隙网络模型。通过油水两相流模拟计算结果可知,与实测相渗曲线吻合较好,可用来计算油藏驱油效率和预测开发动态,尤其是对于新发现尚未进行取心实验的区块,开展砂砾岩三维孔隙网络模型计算无疑是一种有效的补充手段。
The distribution of throat radius has been characterized by using bimodal-state curve based on microstructure characteristics of the glutenite reservoirs in Shengli oilfield. A 3D pore network model has been built to simulate glutenite pore space combining with microscopic pore structure parameters (i.e., pore throat ratio, coordinate number, shape factor, etc.). The simulation result of oil-water two phase flow matches well with the measured relative permeability curve. This model can be used to calculate oil displacement efficiency and to predict development performance. This 3D pore network model is undoubtedly an effective supplementary measure for newly discovered glutenite reservoir which has not conducted core test.
The distribution of throat radius has been characterized by using bimodal-state curve based on microstructure characteristics of the glutenite reservoirs in Shengli oilfield. A 3D pore network model has been built to simulate glutenite pore space combining with microscopic pore structure parameters (i.e., pore throat ratio, coordinate number, shape factor, etc.). The simulation result of oil-water two phase flow matches well with the measured relative permeability curve. This model can be used to calculate oil displacement efficiency and to predict development performance. This 3D pore network model is undoubtedly an effective supplementary measure for newly discovered glutenite reservoir which has not conducted core test.
引文
[1]王金勋,刘庆杰,杨普华.应用Bethe网络研究孔隙结构对两相相对渗透率的影响[J].重庆大学学报:自然科学版,2000,23(增刊):130-132.
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[4]Meyers J J,Nahar S,Ludlow D K,et al.Determination of the pore connectivity and pore size distribution and pore spatial distribution of porous chromatographic particles from nitrogen sorption measurements and pore network modeling theory[J].Journal of Chromatography A,2001,907(1):57-71.
[5]VanitaMani,Mohanty K K.Pore-level network modeling of three-phase capillary pressure and relative permeabili-ty curves[C].SPE50942,1998:22-42.
[6]Mani Vand Mohanty KK.Pore-level network modeling of three-phase capillary pressure and relative permeability curves[J].SPEJ,1998,3(3):79-91.
[7]王宝言,随风贵.济阳坳陷断相湖盆陡坡带砂砾岩体分类及展布[J].特种油气藏,2003,10(3):39-41.
[8]韩宏伟,崔红庄,林松辉,等.东营凹陷北部陡坡带砂砾岩扇体地震地质特征[J].特种油气藏,2003,10(4):28-29.
[9]李玉彬,李向良.利用微焦点X射线CT扫描特征描述特殊岩性油藏岩心[J].特种油气藏,2000,7(4):53-54.
[10]Patzek TW.Verification of a complete pore network sim-ulator of drainage and immibition[J].SPEJ,2001,6(2):144-156.
[2]姚军,陶军,李爱芬.利用三维随机网络模型研究油水两相流动[J].石油学报,2007,28(2):94-97,101.
[3]Fatt I.The network model of porous media:capillary pres-sure characteristics[J].Trans AIME,1956,207(1):144-159.
[4]Meyers J J,Nahar S,Ludlow D K,et al.Determination of the pore connectivity and pore size distribution and pore spatial distribution of porous chromatographic particles from nitrogen sorption measurements and pore network modeling theory[J].Journal of Chromatography A,2001,907(1):57-71.
[5]VanitaMani,Mohanty K K.Pore-level network modeling of three-phase capillary pressure and relative permeabili-ty curves[C].SPE50942,1998:22-42.
[6]Mani Vand Mohanty KK.Pore-level network modeling of three-phase capillary pressure and relative permeability curves[J].SPEJ,1998,3(3):79-91.
[7]王宝言,随风贵.济阳坳陷断相湖盆陡坡带砂砾岩体分类及展布[J].特种油气藏,2003,10(3):39-41.
[8]韩宏伟,崔红庄,林松辉,等.东营凹陷北部陡坡带砂砾岩扇体地震地质特征[J].特种油气藏,2003,10(4):28-29.
[9]李玉彬,李向良.利用微焦点X射线CT扫描特征描述特殊岩性油藏岩心[J].特种油气藏,2000,7(4):53-54.
[10]Patzek TW.Verification of a complete pore network sim-ulator of drainage and immibition[J].SPEJ,2001,6(2):144-156.
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