Macroscopic Parameter Characterization of Capillary Hysteresis Phenomenon in Tight Reservoirs and Its Numerical Simulation Application
摘要
In order to solve the problem of difficulty in the characterization of the macroscopic parameters of capillary hysteresis in the simulation of unconventional tight oil and gas flow, this paper aims to construct a macroscopic parameterization method based on microscopic physical mechanism to improve the numerical simulation accuracy of the development effect of water injection in tight reservoirs. Based on the concepts of “pore space accessibility α” and “radius-resolved saturation ψ” proposed by Gu et al. (2018), a micro-macroscopic cross-scale model of capillary force hysteresis in porous media is established. A numerical simulation algorithm was further developed to embed the model into the dynamic simulation of water injection and displacement in horizontal wells of tight oil, and the influence of the energy storage pressure replenishment process on oil recovery was analyzed. The results show that the α hysteresis ring area and imbibition efficiency are significantly affected: when α approaching 1, the capillary pressure-saturation curve is consistent with the traditional capillary bundle model, and the hysteresis phenomenon is weak. α When approaching 0, the capillary pressure-saturation curve is significantly different from the prediction results of the traditional model, and an obvious lag loop is formed. In this paper, for the first time, the pore space accessibility α and the radius resolution saturation ψ are combined, breaking through the dependence of the traditional model on the pore parallel structure. Numerical simulations reveal α the regulation mechanism of water injection storage effect, which provides a new method for the efficient development of unconventional oil and gas reservoirs. The technical contribution lies in the direct correlation between the microscopic pore structure parameters and the macroscopic seepage behavior, which has important application value for improving the accuracy of numerical simulation and the design of field development schemes.