Zhang Zhenlei, Li Xiao, Gao Minghui, Sun Zhigang, Wang Diansheng, Zhu Lei, Hou Jian, Wang Yudou
College of Science, China University of Petroleum (East China), Qingdao, Shandong 266580, PR China.
School of Materials Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong 266580, PR China.
ACS Omega. 2024 Oct 16;9(43):43793-43807. doi: 10.1021/acsomega.4c06491. eCollection 2024 Oct 29.
Relative permeability curves are one of the crucial factors that control the behavior of multiphase flow in petroleum reservoirs. Accurate prediction of the relative permeability curve involving emulsification and emulsion transport in emulsion flooding is vital to enhancing heavy oil recovery. In this study, a relative permeability characterization model including the emulsification mechanism and emulsion transport is developed, in which residual oil saturation and end-point permeability for water are parametrized as functions of emulsion concentration and capillary number. Based on the built characterization model, an inversion method (ensemble Kalman filter) is used to estimate the relative permeability curves of emulsion flooding. The inversion results of four sets of emulsion flooding experiments show that the errors of end points between the Johnson-Bossler-Neumann method and inversion method are less than 10%. For the continuous emulsification process in the in situ emulsion flooding tests, the inversed relative permeability curves shift between the upper and the inferior limits of the permeability. The error of residual oil saturation between the inversion and the experiment is less than 10%. In summary, this study demonstrates the feasibility of using the characterization model and inversion method to infer the relative permeability curves of emulsion flooding, which can aid in the predictions of multiphase flow in heavy oil reservoirs.
相对渗透率曲线是控制油藏多相流行为的关键因素之一。准确预测涉及乳化驱油中乳化作用和乳状液运移的相对渗透率曲线对于提高稠油采收率至关重要。在本研究中,建立了一个包含乳化机理和乳状液运移的相对渗透率表征模型,其中将残余油饱和度和水相端点渗透率参数化为乳状液浓度和毛细管数的函数。基于所建立的表征模型,采用一种反演方法(集合卡尔曼滤波器)来估计乳化驱油的相对渗透率曲线。四组乳化驱油实验的反演结果表明,约翰逊 - 博斯勒 - 诺伊曼方法与反演方法之间端点的误差小于10%。对于现场乳化驱油试验中的连续乳化过程,反演得到的相对渗透率曲线在渗透率的上限和下限之间变化。反演结果与实验残余油饱和度之间的误差小于10%。总之,本研究证明了使用表征模型和反演方法推断乳化驱油相对渗透率曲线的可行性,这有助于预测稠油油藏中的多相流。