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An integration work flow between detailed log data analysis, characterization methodology, and core data { petrophysical, XRD, thin sections, petrological and sedimentological description } is very important to detect the diagenetic constraints for reservoir quality in shaly-sand reservoirs in order to build a more robust petrophysical model. The work flow enables the identification of the types of clay minerals which detected during this study that affect porosity/permeability relationship. The dispersed distribution of clay minerals complicate the petrophysical analysis when using conventional tools to identify the different reservoirs zones, hence we resorted to another Petrophysical approach in reservoir characterization such as probabilistic petrophysical approach corrected to core data and thin sections analysis which have a significant clarification of the clay minerals that help in porosity preservation. This study will allow the understanding of the factors which have a direct effect on the petophysical parameters and properties (porosity, permeability, fluid identification and characterization, fluid saturations) as well as tracking the influence of clay minerals typing (Chlorite, Kaolinite, Illite) that will lead to better detection of reservoir characterization to improve enhanced oil recovery (EOR). However, the dissolution of initial carbonate cement and the unstable feldspar grains may be the most diagenetic factor that enhanced the Bahariya reservoir quality. The proposal of this workflow is to build a petrophysical model of this field and can provide with better porosity and fluid saturation, hence these parameters will affecting the calculations of net pay in the reservoirs.

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