基于机器学习的致密储层水平井压裂缝尺度特征预测方法
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中图分类号：TE328 文献标识码：A DOI： 10.7535/hbgykj.2025yx05009
（1.Nanniwan Oil Production Plant，Yanchang Oil Field Company Limited，Yan'an，Shaanxi 7160oo，China；2.School o Petroleum Enginering，China Universityof Petroleum（Beijing）），Beijing 10220o，China;3.CNOOC Research Institute Com pany Limited，Beijing 10o028，China）
Abstract：Inorderto solve the problems of insuficient acuracy in predicting the scaleoffractures in tight reservoirs，a multi-objectiveregresionpredictionmodel wasconstructedbyintegrating theblack winged kitealgorithm（BKA）andrandom forest（RF）algorithm. Firstly，taking the Chang 4+5 and Chang 6 reservoirs in the Ordos Basin as the research objects，a large-scale sample set was generated through on-site dataand FrSmart fracturing numerical simulation software，covering various geologicalandconstructionconditions；Secondly，Pearsoncorrelationcoefficientandrandom forestalgorithmwereused to determine thekeygeologicalandconstruction factors thatafect fracture length，width，andheight，andtoconduct correlation analysis and importancerankingofthese factors；Finaly，theblack wingedkitealgorithm wasused tooptimize the hyper parametersof the random forest model andpredict the fracture scalecharacteristics.The results indicate that construction parameters havethe most significant impact onfracture scale，while geological parameters mainlycontrolfracture morphology.Theconstructed BKA-RF model outperforms particle swarm optimization-random forest （PSO-RF）in predicting fracture length，width，and height.The average relative errorof the test set for fracture length prediction is only 2.44% ，and the coefficient of determination R2 exceeds O.94. This model not only provides reliable support for optimizing fracturing parameters and on-siteconstructiondesign，butalsoofersanewtechnological path for eficient developmentof tightoilandgasreservoirs.
Keywords：otherdisciplinesofartificial inteligence；machine learning；tightreservoir；horizontal well fracturing; fracture scale
随着国内外石油工业勘探开发程度的加深，渗透性较好的储层开发难度日益增高，新增油气田中致密油藏的开采比重逐年增大[1-2]，水力压裂开采技术已经成为油气田增产增效的重要手段[3]。（剩余17684字）
