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Petrology attributes of reservoir rock are fundamental elements resulting varied petrophysical responses, and controlling<br>reservoir flowing performance. This paper presents a workflow characterizing complex sand-shale sequenced reservoir with a<br>case study in South China Sea. An integrated approach of integrating elemental neutron capature spectroscopy, formation<br>micro-resistivity image and nuclear magnetic resonance (NMR) data are used to characterize reservoir petrology attributes of<br>mineral composition, grain size, sorting and layering fabric; with improved understanding of state dependency problems, such<br>information is of more use in petrophysical evaluation and reservoir producibility simulation. The information can also be<br>integrated into further geological study to improve the certainty of model. Such an integrated approach is proven an effective<br>way to reveal the reservoir intrinsic properties, better to understand interrelationship of sedimentary model, petrology and<br>petrophysics of target formation, and more accurately to delineate reservoir.