Quantitative Characterization of Pore Types in Laminated and Massive Oil-Bearing Shales in Qintong Sag and Jiyang Depression Using Traditional and Deep-Learning Methods

Abstract

AbstractQuantitative characterization of pore types in shale oil formations is crucial for the evaluation of shale oil content and mobility but is challenging. This study presents a novel integration of traditional petrophysical analyses with a U-Net deep-...Practical ApplicationsThe pore types and shapes significantly influence shale oil mobility, CO2 injectivity, and displacement efficiency. Interparticle pores demonstrate the highest porosity. Their interconnected networks form essential flow pathways for CO2 ...