Abstract
With the increasing difficulty of oil and gas resource development, traditional hydraulic fracturing design faces numerous challenges in enhancing production capacity and reducing geological risks. In recent years, big data and artificial intelligence (AI) technologies have provided new opportunities for intelligent optimization in hydraulic fracturing design. This paper systematically reviews the current applications of big data and AI in hydraulic fracturing, focusing on reservoir characterization based on big data, optimization of fracturing parameters, and the central role of AI in fracture performance prediction, real-time operational optimization, and geological risk management. By integrating these advanced technologies, an intelligent fracturing design model has been established, significantly improving operational efficiency and effectively reducing geological risks. The paper also analyzes the main challenges in the current application of these technologies and proposes future research directions to support the continuous advancement of hydraulic fracturing technology in oilfields.
