This comprehensive review explores the latest advancements in geomechanics. It focuses on three key areas: the integration of machine learning, the relationship between geomechanics and the oil and gas industry, and the material aspects of geomechanics. Geomechanics machine learning has made significant progress. It utilizes big data analytics and advanced machine learning techniques to analyze geological data. These innovations have improved the accuracy of parameter predictions. Moreover, they have introduced new methods for geological exploration and hazard forecasting.

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Review of Cross-Field Application of Geomechanics

  • Yixin Liu

摘要

This comprehensive review explores the latest advancements in geomechanics. It focuses on three key areas: the integration of machine learning, the relationship between geomechanics and the oil and gas industry, and the material aspects of geomechanics. Geomechanics machine learning has made significant progress. It utilizes big data analytics and advanced machine learning techniques to analyze geological data. These innovations have improved the accuracy of parameter predictions. Moreover, they have introduced new methods for geological exploration and hazard forecasting.