The permeability estimates for the uncored wells and a porosity function adopting a modified flow zone index-permeability crossplot are given in this work. The issues with implementing that approach were mostly crossplots, due to the influence of geological heterogeneity, did not show a clear connection (scatter data). Carbonate reservoir flow units may now be identified and characterized using a new approach, which has been formally confirmed. Due to the comparable distribution and flow of clastic and carbonate rock fluids, this zoning method is most effective for reservoirs with significant primary and secondary porosity. The equations and correlations here are more generalizable since they connect these variables by combining core analysis with log data. The cross-sectional parts of the reservoir are examined in seven zones. The result demonstrates a better connection between this crossplot and traditional crossplot and a more straightforward transformation to estimate permeability in an uncored well to input models for geological and reservoir simulation and six hydraulic flow zones in the field for four wells. Start with this conception; we try to simplify the parameter Swir correlation with the Carmen-Kozeny equation, which varies across flow units but remains constant within each unit; it is added as another parameter influencing permeability. Future full-field simulation models will benefit significantly from this improved permeability estimate, leading to more accurate and reliable performance predictions. Keywords: flow zone indicator; hydraulic flow unit, permeability; reservoir quality index; multi-resolution graph-based clustering.
