CRM Reservoir Modeling
Capacitance-Resistance Modeling (CRM) is a simplified, physics-based method to estimate and analyze the behavior of reservoirs, particularly in waterflooding operations. It provides a way to model and predict the flow of fluids (like oil, water, or gas) in a reservoir without requiring detailed geological data or complex simulations.
How do we use CRM?
PRODUCTION FORECASTING
tOptima offers a user-friendly workflow for customizing well and flood pattern models. Engineers benefit from fast auto-forecasting and detailed data visualization, while optimizing water, CO₂, and gas flood operations with predictive models
- Dimensionless Analysis (DA)
- Capacitance-Resistance Modeling (CRM)
- Decline-Curve Analysis (DCA)
- Reservoir Simulation
- Machine Learning
Flood Characterization
everaging CRM and pattern-based analysis allows for the characterization of pattern efficiency and deduction of inter-well connectivity. Automated statistical analysis of pattern performances enhances understanding of ongoing flood operations, and the injector-producer connectivity revealed from CRM modeling highlights contributing sand bodies and bypassed areas.
- Comprehensive data integration
- No-code machine learning framework
- Reservoir simulation platform
- Optimization workflow
FLOOD OPTIMIZATION
CRM and DA offer a verifiable methodology to establish a validated model for predicting flood performance across diverse injection scenarios. ARPS, through the utilization of the forecasting model and optimization algorithms, empowers engineers to optimize the redistribution of injection fluid, aiming for maximum recovery while minimizing fluid recycling.
- Lookback performance evaluator
- No-code machine learning framework
- Reservoir simulation platform
- IOR candidate selector