Seismic Visualization Mesh Using GPU Shaders Across Datasets
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Solution Overview
Problem
Existing seismic data processing and visualization techniques struggle to effectively handle large volumes of seismic data, leading to inefficiencies in interpreting subsurface formations and understanding their composition, fluid content, and geometry.
Innovation Solution
A method and system utilizing graphics hardware to generate visualizations from intersecting datasets, executing shaders to derive values, and rendering these visualizations on a display, enabling efficient processing and interpretation of seismic data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional CPU-based methods are used to process and visualize seismic data, then processing can be performed with standard hardware, but the processing speed and efficiency are insufficient to handle large volumes of seismic data effectively
Solution Approach 1:
The patent replaces traditional CPU-based sequential processing with GPU-based parallel processing. The shader programs execute on graphics hardware, utilizing thousands of cores to process seismic data simultaneously. This substitution of processing architecture enables efficient handling of large datasets while maintaining manageable system complexity through standardized graphics hardware interfaces.
2Measurement precision
If multiple seismic datasets are processed and visualized simultaneously to improve understanding of subsurface formations, then the quality and detail of interpretation improve, but the computational load and processing time increase significantly
Solution Approach 1:
The patent segments the processing workload by assigning different shader programs to process different seismic datasets in parallel on the GPU. Each shader handles a specific dataset or processing task, allowing simultaneous visualization of multiple datasets without sequential processing delays. This segmentation enables high-quality multi-dataset interpretation while maintaining fast processing speeds.
Solution Approach 2:
The patent merges multiple seismic datasets into a unified visualization using a common mesh structure. The shader programs integrate data from multiple datasets simultaneously, combining information from different surveys or processing stages into a single coherent visualization. This merging approach improves interpretation accuracy by enabling direct comparison and integration of multiple data sources without requiring separate processing passes.
3Manufacturing precision
If high-resolution visualizations are generated to improve understanding of subsurface composition and geometry, then the detail and accuracy of the representation increase, but the computational resources and processing time required increase
Solution Approach 1:
The patent replaces CPU-based rendering with GPU-based rendering using shader programs. The graphics hardware's specialized rendering pipelines and parallel architecture efficiently handle high-resolution visualization tasks, achieving detailed subsurface representations with lower overall energy consumption compared to traditional CPU rendering. The GPU's optimized graphics pipelines reduce the computational energy required per pixel while maintaining or improving visualization quality.
Data Source
AI summary
A method can include generating a visual group of datasets; receiving a visualization mesh that intersects at least two of the datasets; executing a shader using graphics hardware to generate values for the visualization mesh, where the values depend on data within at least one of the at least two datasets; and rendering a visualization to a display using the values.