Subsurface 3D Fracture Network Modeling for Accurate P32 Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for evaluating fracture abundance in subsurface formations face challenges in accurately determining fracture sizes from borehole data, leading to large uncertainties and inefficiencies in fracture density calculations, particularly the P 32 value, which affects fluid flow simulation accuracy.
Innovation Solution
A three-dimensional approach using geometric primitives, such as triangular elements, is employed to define a fracture network within a subsurface formation, allowing for direct calculation of fracture abundance parameters like P 32 density by summing areas of primitives within cells and determining ratios against cell volumes, thereby improving accuracy and computational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional interpolation methods are used to calculate P32 fracture density from borehole data, then fracture abundance evaluation can be performed, but large uncertainties are introduced and measurement precision deteriorates
Solution Approach 1:
The patent segments the fracture network into discrete three-dimensional fracture elements within a grid system. Each grid cell is independently evaluated for fracture presence and characteristics, allowing direct calculation of P32 values without interpolation. This segmentation enables precise local measurement of fracture abundance while maintaining reliability across the entire formation volume.
Solution Approach 2:
The patent transitions from two-dimensional borehole-based fracture measurements to three-dimensional fracture network modeling. By incorporating the vertical dimension and spatial distribution of fractures throughout the formation volume, the method directly calculates P32 fracture density without relying on interpolation between borehole locations, thereby eliminating the uncertainties inherent in conventional approaches.
2Measurement precision
If detailed fracture network modeling is performed to improve accuracy, then computational complexity increases and processing time is extended
Solution Approach 1:
The patent divides the subsurface formation into a systematic grid of cells, with each cell containing a limited number of discrete fracture elements. This segmentation allows for efficient computational processing by treating each cell independently, reducing the overall computational burden while maintaining high measurement precision through direct three-dimensional fracture network characterization.
Solution Approach 2:
The patent uses simplified geometric representations (planar and cylindrical fracture elements) to model complex natural fracture networks. These copied idealized forms capture the essential three-dimensional spatial characteristics needed for accurate P32 calculation while significantly reducing computational complexity compared to modeling detailed natural fracture geometries.
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 a more accurate and computationally efficient evaluation of fracture abundance, enabling better fluid flow simulations and informed decision-making for oilfield operations by directly calculating P 32 fracture density, reducing uncertainties inherent in conventional interpolation methods.
Implementation Method 1
The embodiments disclosed herein provide a method for evaluating fracture abundance in a subsurface formation based on geomechanical simulation of mechanical properties thereof
Data Source
Figure 1
Figure 2A~2D
Figure 3
AI summary
A method, apparatus, and program product evaluate fracture abundance in a subsurface formation by modeling a fracture network in a three-dimensional volume using geometric primitives and based at least in part on geomechanical simulation of mechanical properties of the subsurface formation.