Determining effective permeability at reservoir scale: Numerical simulations and theoretical modeling
Barnabas Adeyemi, Behzad Ghanbarian, C. L. Winter, Peter R. King

TL;DR
This study introduces a critical path analysis (CPA) method to estimate effective permeability at the reservoir scale, compares it with numerical simulations and other models, and finds CPA to be accurate across various heterogeneity levels.
Contribution
The paper presents a novel application of critical path analysis for estimating reservoir-scale permeability and evaluates its accuracy against established models and simulations.
Findings
CPA provides accurate keff estimates across heterogeneity levels
PT and EMA overestimate keff in highly heterogeneous formations
CPA performs similarly to renormalization group theory (RGT) in accuracy
Abstract
Determining the effective permeability (keff) of geological formations has broad applications to site remediation, aquifer discharge or recharge, hydrocarbon production, and enhanced oil recovery. The objectives of this study are: (1) to explore an approach to estimating keff at the reservoir scale using the critical path analysis (CPA), (2) to evaluate the accuracy of this new approach by comparing the estimated keff to the numerically simulated effective permeability, and (3) to compare the performance of CPA estimates of keff to estimates by three other models i.e., perturbation theory (PT), effective-medium approximation (EMA), and renormalization group theory (RGT). We construct two- and three-dimensional random (uncorrelated) geologic formations based on permeability measurements from the Borden site and assume that the permeability distribution conforms to the log-normal…
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Taxonomy
TopicsGroundwater flow and contamination studies · Advanced Mathematical Modeling in Engineering · NMR spectroscopy and applications
