Intelligent Optimization of Fracturing Parameters in Complex Reservoirs: Multi-algorithm Fusion and Dynamic Updating for Production Gains
摘要
In the field of oil production in complex reservoirs, in order to solve the limitations of traditional fracturing construction parameter optimization methods and improve the efficiency and benefit of production, this article studies the intelligent fracturing construction parameter optimization algorithm for oil wells in complex reservoirs. By analyzing the complex reservoir characteristics, fracturing construction principle and parameter influence law, an algorithm model including data preprocessing, feature extraction and analysis, intelligent decision-making and other core modules is constructed, and it is optimized by combining multi-algorithm fusion and dynamic updating strategy. Taking a complex reservoir in a certain area as the experimental object, a large number of experiments were carried out to verify it. The results show that, compared with the traditional empirical method, the construction parameters optimized by intelligent algorithm make the fracture propagation better, the average oil and gas production increases by about 29%, some samples exceed 40%, and the construction cost decreases by about 15%. The intelligent algorithm is excellent in accuracy and stability, with a deviation rate of only 11% and a fluctuation standard deviation of 5. The results show that it can effectively provide scientific parameter optimization scheme for fracturing construction of oil wells in complex reservoirs, and significantly improve the production efficiency.