Accurate petrophysical modeling and interpretation for thinly bedded formations often requires high-resolution data usually measured in the laboratory from core samples or evaluated from a limited number of high-end logging tools such as image logs. However, core measurements are expensive and available only from a limited number of wells in a field. On the other hand, high-resolution logging tools are not sufficient to provide a comprehensive evaluation for all formation properties. Because conventional logging data are available from many wells, a high resolution petrophysical analysis combining both low-resolution and high-resolution logging data becomes very attractive.This study focuses on solving for high-resolution mineralogical compositions of the formation. A workflow has been developed with the following major steps: first, extract lithology volumetric models from high-resolution image logs combined with other conventional logs; then, allocate the modeled mineralogical compositions from lower-resolution geochemical logs into mineral compositions for various lithology types; third, obtain high-resolution mineral model; last, perform quality check by comparing the computed results with the input data.To demonstrate the method’s feasibility and applicability, the proposed workflow was used on a Vaca Muerta log example on the Loma Campana field, which has dramatic variations in mineralogy composition. The processing showed very promising results with the computed high-resolution mineral model matches with the core data. It indicates the proposed method could reproduce the mineral composition with a full vertical variability in a thin-bedded formation that would only be available with extensive core measurements. The approach presented here is able to offer an integrated, high-resolution formation evaluation for key petrophysical properties such as formation composition, permeability, and porosity. The method provides a great advantage over conventional log interpretation by revealing the full vertical variability of a formation that would otherwise appear insensitive for thin layers with limited resolution and compromised accuracy. The promising results generated from this study demonstrate the feasibility of an integrated core-level petrophysical analysis in a cost-effective and timely manner compared to conventional core measurements