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This paper provides a new workflow for delineation and evaluation of low-permeable and low-resistivity reservoirs of clastic formation. These reservoirs were previously considered as water-bearing, however well-tests showed significant oil inflow from them. Thereby, this research is aimed at more detailed study of the formation based on new approaches to rock typing and oil saturation assessment.
In order to perform core-derived rock typing and characterization we applied alternative FZI, calculated as function of porosity and irreducible water saturation, together with modern techniques for microstructural analyses, such as NMR and CT. That also enabled to explain the formation’s low permeability and low resistivity. For well logs interpretation we proposed technique for permeability calculation as a multivariate parameter. The resulted permeability log matched very well with core-derived permeability. Application of supervised ML algorithms, supported by thorough petrophysical interpretation, allowed reliable prediction of log-derived rock types in other wells, where preliminary interpretation was not performed. The oil saturation was assessed using Archie, Dual Water and Waxman-Smits equations, incorporating cation exchange capacity for each rock type.
The developed methodology enabled detection of previously missed productive intervals, that resulted in increase of the productive thickness by 4 times and linear hydrocarbon reserves by 3 times.