A preliminary study on the application of machine learning model in shale gas frac-turing

Abstract

With the rapid development of artificial intelligence technology, machine learning models have shown great potential in many fields. This paper focuses on the application of machine learning model in shale gas fracturing, starting from the complexity of shale gas fracturing and the limitations of traditional methods, expounds the application scenarios, advantages and challenges of machine learning model in this field, demonstrates its practical application effect through case analysis, and finally discusses the future development direction, aiming to provide reference for the optimization and innovation of shale gas fracturing technology.