Integrated Workflow to Estimate Permeability Through Quanti cation of Rock Fabric Using Joint Interpretation of Nuclear Magnetic Resonance and Electric Measurements

摘要

Variable depositional cycles and severe diagenesis are among the main contributing factors to the complex pore networks encountered in formations, such as carbonates. This complexity is often not reliably incorporated in conventional permeability models. Conventional methods for permeability assessment, including electricalbased models (e.g., Katz and Thompson) and nuclear magnetic resonance (NMR)-based models (e.g., Coates and Schlumberger-Doll-Research), either require characterization of the pore network or calibration efforts, such as detection of cutoff values and assessment of constant model parameters. Joint evaluation of dielectric permittivity, resistivity, and NMR measurements enables capturing pore-network connectivity, tortuosity, and pore-throat-size distribution for real-time and reliable permeability evaluation.