Intelligent Optimization Algorithm for Injection and Production Parameters in Fracture Flooding of Low-Permeability Reservoirs

Fracture flooding technology effectively addresses issues in low-permeability reservoirs such as high water injection pressure, low production rate and rapid production decline. This approach enhances the performance of water flooding in these reservoirs, although it comes with high costs and directional effects of water injection. This approach enhances the performance of water flooding in these reservoirs, although it comes with high costs and directional effects of water injection. In this work, a multi-objective optimization mathematical model was established, targeting the maximization of economic net present value and the directional effects of water injection. Maximization of economic net present value and the equilibrium displacement index of water-drive reservoirs. A multi-objective jellyfish intelligent optimization algorithm, incorporating the water-driven displacement index, was developed. A multi-objective jellyfish intelligent optimization algorithm, incorporating Levy flight and elite retention strategies, was proposed. By integrating numerical simulation methods for fracture flooding with reservoir reservoir-drive reservoirs, a multi-objective jellyfish optimization model was developed. By integrating numerical simulation methods for fracture flooding with reservoir engineering techniques, a design method for optimizing injection and production parameters in low-permeability reservoirs for balanced displacement was proposed. By integrating numerical simulation methods for fracture flooding with reservoir engineering techniques, a design method for optimizing injection and production parameters in low-permeability reservoirs for balanced displacement was developed. The reliability of this method was confirmed through examples using typical well group data from actual field data. Furthermore, through analyzing the pre- and post-optimization scheme, the NPV of the oil reservoir rose from 2.01 × 106 yuan to 3.89 × 106 yuan, an increase of 9.3%. The balanced displacement index for the target well group improved from 0.15 to 0.74, effectively curbing water breakthrough between oil-water wells along fracture. The findings demonstrate that this optimization approach effectively enhances balanced displacement in fracture flooding, facilitating efficient development of oil and gas wells. The findings demonstrate that this optimization approach effectively enhances balanced displacement in fracture flooding, facilitating efficient development of oil and gas resources in low-permeability reservoirs.