Research on Fine Water Injection Flow Field Regulation Technology of Reservoir Based on Computer Neural Network Simulation

Abstract

The role of technical evaluation in the fine water injection flow field control technology of reservoirs is very important, but there is a problem of inaccurate evaluation of results. The traditional control technology cannot solve the technical evaluation problem in the fine water injection flow field control technology of reservoirs, and the evaluation is unreasonable. Therefore, this paper proposes a BP neural network algorithm for innovative technical evaluation and analysis. Firstly, the control theory is used to evaluate the technical personnel, and the indicators are divided according to the technical evaluation requirements to reduce the interference factors in the technical evaluation. Then, the control theory evaluates the technology of fine water injection flow field regulation of the reservoir, forms a technical evaluation scheme, and comprehensively analyzes the technical evaluation results. MATLAB simulation shows that under certain evaluation criteria, the technical evaluation accuracy and oil recovery of the fine water injection flow field control method of the reservoir by the BP neural network algorithm are better than those of the traditional control technology.