Fault Block Reservoir Water Flooding Recovery Prediction Model
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Solution Overview
Problem
Current methods for predicting water flooding recovery in fault block reservoirs are inaccurate due to limitations in simulating fault characteristics and not considering specific parameters like fault block area, fault density, and water body multiples, leading to varying and often inefficient water flooding effects.
Innovation Solution
A method and system for predicting water flooding recovery that involves determining influencing factors, screening master parameters, designing multi-factor orthogonal experimental schemes, and establishing a prediction model using numerical simulators to optimize water flooding processes, including separate-layer injection and production adjustments based on comprehensive water cut levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If core model flooding experiments are used for recovery prediction, then detailed reservoir simulation is achieved, but fault characteristics cannot be accurately simulated due to size limitation of core models
Solution Approach 1:
The patent segments the reservoir into multiple fault blocks with distinct geological characteristics. Each fault block is modeled separately with its own fault geometry, permeability distribution, and fluid flow properties, allowing accurate representation of fault characteristics while maintaining computational feasibility through modular segmentation of the overall reservoir system
Solution Approach 2:
The patent transitions from traditional 2D core model flooding to 3D numerical simulation that incorporates vertical fault structures and multi-layer reservoir geometry. This dimensional expansion enables accurate simulation of fault characteristics including fault dip, throw, and their impact on fluid flow paths through the reservoir vertical structure
2Ease of operation
If water flooding characteristic curve and production decline methods are used, then integral reservoir analysis is simplified, but specific parameters of fault block reservoirs such as fault block area, fault density, and water body multiples are not considered
Solution Approach 1:
The patent identifies and incorporates key fault block reservoir parameters including fault block area, fault density, water body multiples, and fault seal capacity into the numerical simulation model. These parameters are systematically varied to establish their influence on water flooding recovery, transforming the analysis from generic reservoir curves to fault-specific predictive relationships
Solution Approach 2:
The patent creates a numerical simulation model that replicates the essential geological and hydrodynamic characteristics of fault block reservoirs. This virtual copy allows repeated experimentation with different fault configurations and water flooding scenarios without requiring additional physical core models or field tests, maintaining analytical simplicity while improving precision
3Ease of manufacture
If empirical formulas depending on specific reservoir types are used, then calculation is simplified, but generalization capability is limited
Solution Approach 1:
The patent develops a universal numerical simulation framework that can model various fault block reservoir types with different geological characteristics, fault configurations, and fluid properties. The same simulation platform adapts to different reservoir scenarios by modifying input parameters rather than requiring separate empirical formulas for each reservoir type, achieving both computational efficiency and broad generalization capability
Data Source
AI summary
A method and system for predicting water flooding recovery of fault block reservoirs considering a whole process optimization includes: determining influencing factors in water flooding recovery of fault block reservoirs; screening master parameters of the water flooding recovery of the fault block reservoirs; determining a single-factor correlation between the water flooding recovery of the fault block reservoirs and the master parameters; designing multi-factor orthogonal experimental schemes; performing a whole-process water flooding optimization for each of the experimental schemes including separate-layer injection and production, well-type conversion, and injection and production adjustment, to obtain the maximum water flooding recovery; and determining a prediction model of the water flooding recovery of the fault block reservoirs using least square method based on results of the whole process optimization of orthogonal experiments, further obtaining a prediction model of the water flooding recovery of the fault block reservoirs.