灰色关联分析与层次分析耦合模型在油气藏优势通道识别中的应用——以鄂尔多斯盆地C区块为例OACHSSCD

Based on the Yan 8 oil reservoir group in Block C of the Ordos Basin,this paper addresses the challenges in identifying preferential flow paths in low-permeability reservoirs and the limitations of conventional methods in multi-parameter analysis,a coupled model integrating Grey Relational Analysis(GRA)and the Analytic Hierarchy Process(AHP)is proposed.Based on six petrophysical static parameters—porosity,permeability,effective thickness,shale content,permeability contrast,and interlayer permeability rush coefficient—and five production dynamic parameters—water cut,injection-production ratio,cumulative water injection,cumulative oil production,and cumulative liquid production—the GRA was employed to quantify the correlation between each parameter and the development degree of preferential flow paths.Subsequently,the AHP was applied to transform the relational degree rankings into an objective judgment matrix,establishing a hierarchical weighting system comprising criterion and indicator layers.Finally,a comprehensive score was calculated by multiplying the relational degree of each parameter by its AHP-assigned weight.This score served as the quantitative evaluation criterion for classifying preferential flow paths:Class Ⅰ(highly developed)for A>0.26,Class Ⅱ(moderately developed)for 0.2≤A≤0.26,and Class Ⅲ(weakly developed)for A<0.2.The model was applied to five sample wells for calculation and validation.Results show an 89％coincidence rate between the model's identifications and tracer test outcomes.Furthermore,wells in highly developed areas exhibited significantly higher water cut and production decline rates than those in weakly developed areas,verifying the model's effectiveness.This approach provides reliable technical support for the accurate identification of preferential flow paths and the optimization of development strategies such as profile control.