Modeling and analysis of hydraulic fracture complexity index in sandy conglomerate reservoirs based on genetic expression programming—A case study in Xinjiang Oilfield

The stimulation effect of oil wells is seriously affected by the complexity hydraulic fractures, and analysis factors that control fracture index has become key to fracturing design in sandy conglomerate reservoirs. Based on intrinsic relationship between geological engineering parameters fractures index, a Genetic Expression Programming (GEP) method, which broad advantages solving multi-factor nonlinear fitting black-box prediction problems, proposed analyze index. Combined with geoengineering affect propagation, comprehensive calculation method established relative importance these features 18 reconstructed were obtained collecting parameter data 118 sections 8 Jinlong oilfield. principal component was performed eliminate interaction features, then GEP-based model developed. partial dependence plot used influence main feature (variable) It showed GEP can achieve satisfactory performance (Training set: R = 0.861; Test 0.817) statistical parameters. results calculate quickly precisely. be obtained. proved effectively evaluate