Multi-factor combined glutenite high-quality reservoir prediction method

The invention provides a multi-factor combined glutenite high-quality reservoir prediction method, which comprises the following steps of: respectively performing single factor analysis on structural characteristics, sand body thickness, sedimentary microfacies, diagenesis, porosity and permeability factors and oil saturation, and performing grade division on single factors; under the constraint of the oil saturation, SPSS analysis software and an analytic hierarchy process are applied to fit a multi-factor quantitative expression under the constraint of the reservoir index RI and the oil saturation, a reservoir type evaluation standard is established, and finally a structural plane graph, a sand body thickness graph, a sedimentary microfacies plane graph, a lithogenous facies plane graph and a pore permeability plane graph are overlapped to obtain a reservoir type evaluation standard. And predicting a favorable reservoir distribution rule, and comprehensively delineating sweet spot reservoir distribution und