Research on Fine Petrophysics Interpretation Methods for Complex Carbonate Reservoirs

With structural-stratigraphic hydrocarbon reservoirs in carbonate rock types as the subject of study, this paper addresses the characteristics of the coexistence of multiple lithologies in the target layer, strong reservoir heterogeneity, complex storage space types, and reservoir physical properties vary significantly. Traditional well logging data processing methods have certain limitations in interpreting the multi-mineral content of mixed-deposit carbonate rocks. In order to accurately evaluate reservoirs, this paper proposes an improved probability combination model method for multi-mineral optimization logging interpretation based on lithology sensitive parameters. In view of the combination conditions of different strata and mineral compositions, six basic sub-models and two types of probability combination sub-models are constructed, thus forming a new set of logging interpretation methods applicable to the mixed-sedimentary carbonate reservoirs in the study area. The research results exhibit high concordance with core experiment analysis data, effectively verifying the reliability of the method and improving the precision of well logging interpretation. This offers an effective new approach for well logging interpretation and evaluation of carbonate rock reservoirs in the target block.