采矿与岩层控制工程学报2025，Vol.7Issue(6)：134-155,22.DOI:10.13532/j.jmsce.cn10-1638/td.2025-1087
煤系岩层水力裂缝扩展轨迹及压裂效果智能预测研究
Hydraulic fracture propagation path and intelligent prediction of fracturing effects in coal measure strata
摘要
Abstract
To address the challenges in controlling hydraulic fracture propagation trajectories and stimulated volumes within multi-lithologic coal measure strata,particularly those caused by formation interfaces and interlayer strength variations,a combined finite-discrete element method(FDEM)was used to investigate hydraulic fracture behavior.The results show twelve distinct propagation modes under multifactor coupling conditions,which can be classified into four categories:interface penetration,penetration with interface extension,interface tracking,and interface arrest.A novel hybrid artificial intelligence model integrating BP neural networks with differential evolution(DE)and grey wolf optimization(GWO)algorithms(BP-DEGWO)was developed to predict fracture trajectories and stimulation effectiveness.Key controlling factors,including rock strength contrast coefficient,interface dip angle,interfacial strength,injection rate and perforation angle were identified,and their relative importance under varying in-situ stress conditions was quantified.A further intelligent optimization framework for hydraulic fracturing design in stratified formations was proposed based on the BP-DEGWO model.This approach provides a predictive tool for fracture geometry in heterogeneous coal-bearing strata and a methodological reference for AI-assisted fracturing optimization.The findings are instructive in enhancing stimulation efficiency in multi-lithologic unconventional reservoirs.关键词
煤系岩层/水力压裂/裂缝扩展/有限-离散元方法/智能预测Key words
coal-measure rock strata/hydraulic fracturing/fracture propagation/finite-discrete element method/intelligent prediction分类
矿业与冶金引用本文复制引用
马军强,王红胜,董国伟,袁钰鑫,任小亮,杨森..煤系岩层水力裂缝扩展轨迹及压裂效果智能预测研究[J].采矿与岩层控制工程学报,2025,7(6):134-155,22.基金项目
国家自然科学基金资助项目(52474180) （52474180）
