Capacitance-Resistance Modeling in Reservoir Management
Summary
Capacitance–Resistance Modelling (CRM) constitutes a class of semi-analytical approaches that treat a reservoir as an electrical analogue, with injectors and producers represented by capacitive and resistive elements. By relating historical injection rates, production rates and bottom-hole pressures, CRMs infer interwell connectivity, time delays and storage effects without explicit geological models or rock-fluid properties. They yield rapid connectivity maps, diagnostic plots for sweep efficiency and compartmentalisation, and forecasts of fluid rates, thereby expediting field management decisions. Extensions to conventional CRM include coupling with fractional-flow models for water-oil separation, adaptation to shut-in periods and horizontal wells, and integration with machine-learning or physics-guided neural networks. These developments have broadened CRM applications from primary and secondary recovery to gas and polymer flooding, offering low-cost, scalable tools for global reservoir optimisation and mature-field management.
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Capacitance-Resistance Modeling in Reservoir Management publication trend
The graph below shows the total number of articles in capacitance-resistance modeling in reservoir management across all publications each year (not limited to Nature Index journals).
Technical terms
Capacitance–Resistance Model (CRM): A reservoir model analogue treating wells as capacitive storage and resistive flow elements to infer connectivity from dynamic data.
Interwell Connectivity: A measure of fluid communication between injector and producer wells, expressed by connectivity coefficients.
Connectivity Coefficient: A parameter quantifying the strength of interaction between specific well pairs.
Time Delay Constant: The characteristic lag between injection changes and production response, reflecting reservoir storage and flow paths.
Material Balance Equation: A conservation law relating cumulative volumes of injection, production and fluid expansion within a reservoir.
References
- A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting. Energies (2018).
- Waterflooding Interwell Connectivity Characterization and Productivity Forecast with Physical Knowledge Fusion and Model Structure Transfer. Water (2023).
- Reservoir characterization using dynamic capacitance–resistance model with application to shut-in and horizontal wells. Journal of Petroleum Exploration and Production Technology (2019).
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