Recovering oil reservoir parameters according to high-frequency induction logging data: numerical study using multiphysics modeling

Abstract

The paper proposes a scheme of numerical experiment to assess the quality of interpretation of logging signals using a digital model of the oil reservoir, including geological, petrophysical, and physical parameters of the environment and interrelated modeling in the ATLAS MPhM system of physical processes occurring in the near-well space. The confidence intervals of oil saturation obtained as a result of interpretation of noisy synthetic logging curves for models with low and high resistivity are estimated.