Standard techniques of geological data analysis and further static modelling include restoring of sedimentary environment of rocks and prediction of reservoir properties according to sedimentary facies distribution. In case of carbonate rocks, accuracy of reservoir properties prediction in static and hence dynamic model is not enough for confident production forecast. One of the features of carbonate rocks is a significant alteration of initial sedimentary reservoir properties by secondary transformations of rocks. Specialists from Gazpromneft NTC has developed and successfully applied a standardized algorithm for the study of carbonate reservoirs. It includes the analysis of petrographic studies, work with core data, interpretation and analysis of seismic data and as a result the creation of a conceptual geological model. The aim of this work was to create a reliable geological model for confident forecasting of new wells productivity. Key objectives for carbonate reservoirs are identification of main drivers of reservoir productivity and their genetic interpretation and prediction of its distribution in a static and dynamic model. The present paper describes integrated multidisciplinary approach to the reservoir study and prediction of properties of carbonate reservoirs on example of one of the fields in the Middle East. The accuracy of the proposed approach for properties distribution is confirmed by the results of new wells drilling and testing.
References
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2. Idrisova S.A., Tugarova M.A., Stremichev E.V., Belozerov B.V., Digital core. Integration of carbonate rocks thin section studies with results of routine core tests (In Russ.), PRONeft', 2018, no. 2, pp. 36–41.
