Study On Pore Structure Evaluation And Reservoir Classification Of Glutenite Reservoirs

The lithology of glutenite reservoirs is complex due to low porosity,low permeability,poor pore-related permeability,complex pore structure and strong heterogeneity,and difficult reservoir classification.Studying the pore structure of glutenite reservoirs,determining the lower limit of the physical properties of reservoirs and classifying reservoirs is of great significance to finding favorable exploration areas and realizing oil and gas development.This paper takes the glutenite of Baikouquan Formation of Mabei Slope in Junggar Basin as the research object,uses core mercury injection experiment data and NMR experiment data to evaluate the pore structure of the reservoir core,determines the lower limit of the physical properties of the effective reservoir,and further studies the reservoir classification.Linear transformation method,power function method and extended power function method are used to transform the core T2 distribution of nuclear magnetic resonance into capillary pressure curves.The results show that the extended power function method is the best.Combining the minimum flow pore throat radius method and the permeability curve-porosity saturation relationship method,the lower limit of effective reservoir physical properties is determined in the study area.The comprehensive index of the largest pore throat radius,median radius,effective porosity,and fractal dimension is used to construct the reservoir comprehensive index.The composite index is used to classify the core and reservoir and achieves good results.In order to achieve the popularization and application of the reservoir classification method,a BP neural network model is established between the conventional well logging curve and the reservoir comprehensive index.The model is applied to the actual logging data and the effectiveness of the method is verified.