Unstructured Gridding for Complex Fracture Network Mapping
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Solution Overview
Problem
In unconventional subterranean reservoirs, such as shale formations, it is challenging to predict and optimize fracturing operations to enhance hydrocarbon production due to the complexity of fractures, which affects the efficiency of wellbore enhancement and fluid extraction.
Innovation Solution
A system and method for modeling complex fractures in subsurface formations using an earth model that integrates geological, geophysical, and petrophysical data, allowing for the planning and optimization of fracturing operations by simulating fracture networks and reservoir behavior, enabling more accurate wellbore placement and stimulation design.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional fracturing operations are performed in unconventional reservoirs, then hydrocarbon production can be enhanced, but the complexity of fracture geometries makes prediction and optimization difficult
Solution Approach 1:
The patent segments the complex fracture network into discrete fracture elements that can be individually modeled and characterized. By dividing the continuous fracture system into manageable segments, the complexity of predicting and optimizing fracture geometries is reduced while still capturing the overall behavior of the fracture network for enhanced hydrocarbon production
Solution Approach 2:
The patent transitions from traditional two-dimensional fracture modeling to three-dimensional discrete fracture network modeling. This dimensional enhancement allows for more accurate representation of complex fracture geometries including spatial orientation, connectivity, and interaction with wellbores, thereby improving prediction capability without oversimplifying the inherent complexity
2Productivity
If wellbore enhancement operations are performed to optimize production, then hydrocarbon extraction efficiency improves, but accurate prediction of fracture behavior is challenging
Solution Approach 1:
The patent incorporates feedback mechanisms by using observed fracture behavior from monitoring data (such as microseismic events or production responses) to update and refine the discrete fracture network model. This iterative feedback process improves the accuracy of fracture predictions by continuously adjusting model parameters based on actual field performance, thereby enhancing both prediction precision and production optimization
Solution Approach 2:
The patent employs parameter changes by adjusting key fracture model parameters (such as fracture conductivity, permeability, geometry, and distribution) based on reservoir conditions and observed behavior. By dynamically modifying these parameters within the discrete fracture network model, the system achieves more accurate fracture predictions that reflect actual reservoir response to wellbore enhancement operations
3Measurement precision
If complex fracture networks are modeled using integrated earth models, then fracture prediction accuracy improves, but data integration and modeling complexity increase
Solution Approach 1:
The patent merges multiple data sources including geological models, geophysical data, petrophysical properties, and fracture monitoring information into a unified discrete fracture network model. By integrating these diverse data streams into a single comprehensive modeling framework, the system achieves improved fracture prediction accuracy while managing complexity through systematic data integration rather than separate analyses
4Productivity
If stimulation operations are optimized based on predicted fracture networks, then asset exploitation efficiency improves, but identifying optimal well placement and stimulation design is complex
Solution Approach 1:
The patent applies preliminary action by using the discrete fracture network model to pre-identify optimal well placement locations and stimulation design parameters before actual field operations begin. By performing predictive modeling and optimization calculations in advance, the system determines the most effective well positions, fracture stimulation targets, and treatment parameters, thereby simplifying the actual execution phase while maximizing asset exploitation efficiency
Data Source
AI summary
In some aspects, the present disclosure includes systems and methods for modeling a fracturing operation in a subsurface formation. The method includes generating an earth model of the subsurface formation, wherein the earth model is generated considering unstructured gridding; generating a fracture model of the subsurface formation based, at least in part, on the earth model of the subsurface formation, and wherein the fracture model is generated considering unstructured gridding; and performing a reservoir simulation of at least one reservoir in the subsurface formation based, at least in part, on the earth model and the fracture model, wherein the reservoir simulation is performed using unstructured gridding.