Acid Etching Model for Fracture Conductivity Prediction
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Solution Overview
Problem
Current well stimulation techniques, such as hydraulic fracturing, lack comprehensive simulation models that account for acid etching and rock compaction, which are crucial for predicting the effectiveness of hydrocarbon production and optimizing stimulation treatments.
Innovation Solution
A method and system that simulate fracture propagation, acid transport, rock etching, and rock compaction using grid cells to model the formation, allowing for the prediction of fluid conductivity and selection of optimal stimulation treatments by tracking the movement of acidic fluids and proppants, and adjusting for non-uniform etching and stress closure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a comprehensive simulation model including acid etching and rock compaction is developed, then prediction accuracy of hydrocarbon production is improved, but device complexity and computational requirements increase
Solution Approach 1:
The simulation model is divided into distinct modular components: fracture propagation module, acid transport module, rock etching module, and rock compaction module. Each module handles a specific physical process independently, allowing complex multi-physics simulation while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent introduces intermediate computational representations such as grid cells representing fracture geometry, acid concentration fields as intermediaries between transport and etching processes, and etched fracture size as an intermediate parameter linking etching to compaction. These intermediaries enable systematic coupling of different physical processes.
2Productivity
If detailed tracking of acid movement and rock etching is performed, then stimulation treatment optimization is improved, but computational time and resources increase
Solution Approach 1:
The model performs preliminary simulation of fracture propagation and acid transport before detailed etching calculations. By pre-determining fracture geometry and acid distribution patterns, the model reduces the computational domain and complexity of subsequent etching and compaction simulations, optimizing overall computational efficiency.
Solution Approach 2:
The simulation focuses computational effort on critical regions where acid concentration and etching effects are most significant, rather than uniformly processing the entire formation volume. This selective approach provides sufficient detail for treatment optimization while reducing overall computational burden.
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 approach enables more precise prediction of hydrocarbon production by accurately modeling the formation's conductivity changes, leading to improved stimulation designs and increased hydrocarbon extraction efficiency.
Implementation Method 1
acidic fluids may etch surfaces in the formation, creating additional clearance for fluid flow
Implementation Method 2
pressurized fluid may create and physically widen fractures in the formation
Implementation Method 3
fractures in the formation, which may be held open by proppant
Implementation Method 4
simulating transport of an injected acidic fluid through the formation, wherein the simulating transport comprises tracking movement of units of the acidic fluid
Data Source
AI summary
A method of stimulating fluid production from a well includes defining a candidate stimulation treatment including injection of a slurry comprising acid and proppant, based on measurements of the formation. Fracture propagation and fluid transport in the formation are simulated using particle-in-cell techniques. Etching of rock by the injected acid is simulated. Rock compaction is simulated, including compaction around etched and propped portions of a fracture. A predicted fluid conductivity for acid-stimulated fracture is calculated based on the simulation of fracture geometry and a final stimulation treatment is defined based on the predicted fluid conductivity. An acid-proppant slurry is injected into the formation according to the final stimulation treatment.