一种建立毛管束模型的新方法
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摘要
毛管束模型是表征多孔介质最常用的物理模型之一。经典的毛管束模型是一簇簇等径的直毛管,但该物理模型忽略了多孔介质的弯曲性。因此,以致密砂岩为研究对象,结合压汞资料,引入毛管束模型的修正因子——迂曲度,提出了一种建立毛管束模型的新方法。该方法考虑了毛管束模型的弯曲性,可以准确地计算出毛细管半径、不同毛细管的孔隙度、渗透率、不同半径毛细管的体积以及不同半径毛细管对整个毛管束模型的渗透率贡献,对于研究特定压差下储层工作液的渗吸、定量表征储层水侵损害具有重大的意义。
The capillary bundle model is one of the most common physical models for the porous media. The most classic physical model is the straight capillary bundle model with same diameter. But the bendability of the porous media is neglected in this physical model. Therefore, based on the tight sandstone, combined with the mercury data, and by the introduction of the correction factor-tortuosity, we put forward a new approach to establish the capillary bundle model. This approach considers the bendability of the capillary bundle model and can accurately calculate the radius of capillary, capillary porosity and permeability, capillary volume of different radius and permeability contribution of capillary bundle model with different radius. This new approach has great significance for the study of the reservoir fluid imbibition of specific pressure and quantitatively characterizing the water invasion reservoir damage.
The capillary bundle model is one of the most common physical models for the porous media. The most classic physical model is the straight capillary bundle model with same diameter. But the bendability of the porous media is neglected in this physical model. Therefore, based on the tight sandstone, combined with the mercury data, and by the introduction of the correction factor-tortuosity, we put forward a new approach to establish the capillary bundle model. This approach considers the bendability of the capillary bundle model and can accurately calculate the radius of capillary, capillary porosity and permeability, capillary volume of different radius and permeability contribution of capillary bundle model with different radius. This new approach has great significance for the study of the reservoir fluid imbibition of specific pressure and quantitatively characterizing the water invasion reservoir damage.
引文
[1]Purcell W R.Capillary pressures-their measurement using mercury and the calculation of permeability therefrom[J].Journal of Petroleum Technology,1949,1(2):39-48.
[2]Dullien F A L.Effects of pore structure on capillary and flow phenomena in sandstones[J].Journal of Canadian Petroleum Technology,1975,14(3):48-55.
[3]Kozeny J.Ueber kapillare leitung des wasser in bodn,sitzungber[J].Akad.Wiss.Wien,1927,136(2a):271-306.
[4]Carman P C.Fluid flow through granular beds[J].Chemical Engineering Research and Design,1997,75(1):S32-S48.
[5]Ruth D,Lindsay C,Allen M.Combining electrical measurements and mercury porosimetry to predict permeability[J].Petrophysics,2013,54(6):531-537.
[6]何更生,唐海.油层物理[M].北京:石油工业出版社,2011.
[7]张冲,郭聪,宋秋强,等.利用压汞资料预测储层地层因素F的改进方法[J].中国矿业大学学报,2016,45(4):747-753.
[2]Dullien F A L.Effects of pore structure on capillary and flow phenomena in sandstones[J].Journal of Canadian Petroleum Technology,1975,14(3):48-55.
[3]Kozeny J.Ueber kapillare leitung des wasser in bodn,sitzungber[J].Akad.Wiss.Wien,1927,136(2a):271-306.
[4]Carman P C.Fluid flow through granular beds[J].Chemical Engineering Research and Design,1997,75(1):S32-S48.
[5]Ruth D,Lindsay C,Allen M.Combining electrical measurements and mercury porosimetry to predict permeability[J].Petrophysics,2013,54(6):531-537.
[6]何更生,唐海.油层物理[M].北京:石油工业出版社,2011.
[7]张冲,郭聪,宋秋强,等.利用压汞资料预测储层地层因素F的改进方法[J].中国矿业大学学报,2016,45(4):747-753.