Data-Driven Fracture-Cavity Reservoir Modeling for Fluid Exchange
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Solution Overview
Problem
Existing methods for representing the fluid exchange law in multi-scale fracture-cavity reservoirs, such as equivalent medium and discrete fracture-cavity network models, face challenges in accuracy and adaptability, leading to poor representation of development performance.
Innovation Solution
A data-driven approach is employed to establish a fault-controlled fracture-cavity reservoir discrete spatial topological network model, utilizing a fluid vertical equilibrium mechanism and non-Darcy flow law to quantify production performance, and perform segmentation and inversion processing to obtain development performance characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If equivalent medium models or multi-medium models are used to describe fluid exchange in fracture-cavity reservoirs, then the model complexity is reduced, but the accuracy of describing fluid exchange law deteriorates
Solution Approach 1:
The patent segments the fracture-cavity reservoir into discrete network elements (fractures, cavities, and their connections) rather than using continuous equivalent medium models. This segmentation allows accurate representation of fluid exchange at each discrete interface while maintaining computational tractability through network-based simulation.
Solution Approach 2:
The patent introduces an intermediary discrete network model that bridges the gap between simplified equivalent medium models and complex direct numerical simulation. This intermediary model uses network elements to mediate the fluid exchange representation, achieving both accuracy and computational efficiency.
2Measurement precision
If discrete fracture-cavity network models are used to accurately describe fluid exchange, then the fluid exchange law accuracy is improved, but the calculation convergence deteriorates due to grid angle effect
Solution Approach 1:
The patent changes the fundamental parameters of the network model by using simplified geometric representations and standardized connection rules for fracture-cavity elements. This parameter transformation eliminates the grid angle effect while preserving the essential fluid exchange characteristics, enabling both accuracy and convergence.
3Measurement precision
If discrete fracture-cavity network models are used to represent complex reservoir structures, then the representation accuracy is improved, but the computational efficiency deteriorates for large-scale reservoirs
Solution Approach 1:
The patent segments the large-scale reservoir into multiple discrete network blocks, each representing a fracture-cavity system. This segmentation enables parallel computation and reduces the computational burden while maintaining accurate representation of reservoir heterogeneity and fluid exchange processes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method provides accurate and fast simulation of fluid exchange in multi-scale fracture-cavity reservoirs, enhancing the reliability and efficiency of reservoir development by quantitatively representing production performance and guiding decision-making.
Implementation Method 1
performing, according to the first fault-controlled fracture-cavity reservoir discrete spatial topological network model, modeling processing on quantitative representation of production performance of a fault-controlled fracture-cavity reservoir by using a fluid vertical equilibrium mechanism and a non-Darcy flow law
Implementation Method 2
performing, according to the first fault-controlled fracture-cavity reservoir discrete spatial topological network model, modeling processing on quantitative representation of production performance of a fault-controlled fracture-cavity reservoir by using a fluid vertical equilibrium mechanism and a non-Darcy flow law
Data Source
AI summary
The present application provides a method and device for data-driven fracture-cavity reservoir development and evaluation and a storage medium. The method includes: obtaining a fracture-cavity spatial topological relationship, a geometric shape and a fracture-cavity physical model of fault-controlled fractures and cavities, and establishing a first fault-controlled fracture-cavity reservoir discrete spatial topological network model corresponding to the fault-controlled fractures and cavities according to the fracture-cavity spatial topological relationship and geometric shape; performing, according to the first fault-controlled fracture-cavity reservoir discrete spatial topological network model, modeling processing on quantitative representation of production performance of a fault-controlled fracture-cavity reservoir using fluid vertical equilibrium mechanism and non-Darcy flow law, to form a quantitative representation model of production performance of fault-controlled fracture-cavity reservoir; performing analyzing processing on the quantitative representation model to obtain a development performance characteristic of the fault-controlled fracture-cavity reservoir, and developing the fault-controlled fracture-cavity reservoir according to the development performance characteristic.