Numerical investigation of shut-in time on stress evolution and tight oil production

Among investigations on the mechanics of energy accumulation via well shut-in to increase oil production, reservoir imbibition is deemed effective. However, another element, i.e., the coupling effect of fluid flow and geomechanics has always been underrated in production. Hence, this is discussed herein based on seepage mechanics, elastic mechanics, and Biot pore elastic theory. Further, an integral mechanical coupling numerical model is established from staged fracturing on a horizontal well to analyze well shut-in and production, to simulate stress variation during the shut-in period and the impact of shut-in time on oil production. The model considers the coupling effect of oil and water flow, and geomechanics on the stress distribution of reservoir adjacent to hydraulic cracks during fracturing, well shut-in, and production. From the study of reservoir stress and physical parameters in different shut-down times, it is found that reservoir stress and physical parameters demonstrate some regular changes. The pore pressure and saturation demonstrate pressure diffusion and oil phase saturation recovery with increasing well shut-in time. Owing to pressure diffusion, horizontal maximum principal stress, and horizontal minimum principal stress, the shear stress and stress difference demonstrate high complexity. Meanwhile, permeability and porosity exhibit a complex distribution subject to effective stress; the characteristic parameters of reservoir rock based on construction parameters (total injection volume, injection rate, and shut-in time) affect the subsequent production considerably. The correlation curves drawn upon a simulated experiment that reflect the construction parameters against cumulative oil production indicate that cumulative oil production is in direct proportion to shut-in time and in reverse proportion to injection rate. The optimum shut-in time is correlated positively with both the total injection volume and injection rate.