Image-Based Rock Property Tensor Visualization in 3D Geocellular Grids
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Solution Overview
Problem
Current visualization methods for subterranean formations in the oil and gas industry rely on color-based models that do not accurately represent the actual appearance of rock formations, making it difficult to interpret and predict rock properties effectively.
Innovation Solution
The implementation of image-based rock property tensor visualization in a dynamic 3D geocellular grid, where textured images or computerized tomography (CT) images of rocks are used to represent rock properties, allowing for a combined qualitative and quantitative evaluation of rock formations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color-based models are used to visualize subterranean formations, then visualization can be achieved, but the representation does not accurately reflect the actual appearance of rock formations
Solution Approach 1:
The patent applies the copying principle by replacing arbitrary color maps with actual photographic images of rock cores. These images serve as direct visual copies of the real rock formations, preserving their authentic appearance, textures, and characteristics. The system maps these actual rock images onto 3D geocellular grid cells, creating a visualization that accurately replicates what the rock formations actually look like rather than using abstract color representations.
2Ease of operation
If arbitrary color schemes are used in visualization models, then visualization can be achieved, but interpretation requires reference to arbitrary color assignments
Solution Approach 1:
The patent applies the color changes principle by transitioning from arbitrary color schemes to the natural colors present in actual rock photographs. Instead of assigning arbitrary colors to represent different rock properties, the system uses the inherent colors, patterns, and textures visible in real rock core images. This allows interpreters to directly recognize rock types and properties through their natural visual characteristics without requiring reference to arbitrary color legends.
3Measurement precision
If 3D geocellular models with high resolution are created, then detailed view of subterranean formation is achieved, but the static nature limits dynamic analysis
Solution Approach 1:
The patent applies the dynamics principle by transforming the static 3D geocellular model into a dynamic visualization system. The system enables interactive manipulation including rotation, zooming, and navigation through the 3D space. Additionally, it allows temporal analysis by comparing rock properties at different depths and positions, and by integrating core imagery collected at different times and locations. This dynamic approach maintains high spatial resolution while adding temporal and interactive dimensions for comprehensive analysis.
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 provides a more accurate and interpretable representation of subterranean formations, enabling better prediction of rock types and properties before drilling, thereby improving core acquisition planning and rock type geomodel validation.
Implementation Method 1
computerized tomography (CT) images of rocks are used to represent rock properties
Data Source
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AI summary
A visualization module of an imaging system having a 3D geocellular model generated for illustrating rock types within a subterranean formation. The visualization module can determine that cells of the 3D geocellular model are visible to a field of view for a viewing user. For each cell determined to be visible, the visualization module can determine a rock type for the cell and that one or more faces of the cell are visible. For each face determined to be visible, the visualization module can determine an orientation of the face; determine that an image corresponds to the determined orientation and determined rock type; and apply the image to the face of the cell in the 3D geocellular model.