非常规油气藏智能压裂技术研究进展及展望OA

To systematically review the research progress of intelligent fracturing technology in unconventional oil and gas reservoirs,by integrating machine learning algorithms(e.g.,random forest and gradient boosting),the embedded discrete fracture model(EDFM),fiber-optic/microseismic monitoring technologies,and smart equipment,this study analyzes technological breakthroughs and application cases in key aspects such as reservoir parameter prediction,fracture propagation simulation,and real-time control.Results demonstrate that the random forest and gradient boosting models demonstrated optimal performance in permeability prediction(R²>0.92).The EDFM-AI workflow reduces fracture parameter calibration errors to 6.8%.Fiber-optic monitoring technology achieves sub-millimeter resolution in fracture detection.The intelligent early-warning system predicts sand plugging risks 30 seconds in advance(accuracy above 85%).Intelligent fracturing technology significantly enhances res-ervoir modification efficiency and production,but challenges such as small-sample generalization,multi-source data fusion,and equipment autonomy require further resolution.Establishing a closed-loop technical system encompassing"reservoir evaluation,optimized design,fracture monitoring,anomaly prediction,and equipment control",and promote the development of intelligent and precise fracturing processes.