Structure Guided Seismic Data Smoothing Filter
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Solution Overview
Problem
Conventional seismic data smoothing methods, such as the median vector filter, fail to effectively enhance the resolution of geological sub-structures like fractures, channels, and faults in reservoir analysis due to their inability to account for structural information, resulting in low-quality visualizations.
Innovation Solution
The use of a structure guided directional weighted vector filter, which forms guiding vectors based on seismic data and structural attributes, applies directional weighting factors using an anisotropic Gaussian function, and iteratively filters the data to produce smoothed seismic data that preserves structural details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional smoothing methods (e.g., median vector filter) are used, then the smoothing process is simple and fast, but the resolution of geological sub-structures is not effectively enhanced
Solution Approach 1:
The patent segments the seismic data processing into distinct components: guiding structure extraction, guiding vector formation, and directional weighted filtering. This segmentation allows each component to be optimized independently, achieving high resolution enhancement while maintaining manageable system complexity through modular processing steps.
Solution Approach 2:
The patent introduces a new dimension of structural guidance by incorporating guiding structure attributes and forming guiding vectors that add directional information to the traditional smoothing process. This dimensional enhancement enables resolution improvement without proportionally increasing overall system complexity.
2Manufacturing precision
If conventional smoothing methods are used, then the processing is computationally efficient, but the visualization quality is low
Solution Approach 1:
The patent applies local quality enhancement by using directional weighting factors that are computed based on local guiding structure attributes. Each region of the seismic data is filtered with weights tailored to its specific structural characteristics, achieving high visualization quality while optimizing computational resource allocation to where it is most needed.
Solution Approach 2:
The guiding structure attributes are extracted directly from the seismic data itself, allowing the data to guide its own processing. This self-service approach eliminates the need for external manual parameter tuning and reduces the computational overhead associated with iterative optimization, achieving high quality visualization with efficient processing.
3Manufacturing precision
If structural information is not accounted for, then the filtering process is simple, but the resolution of geological features is not enhanced
Solution Approach 1:
The patent performs preliminary extraction of guiding structure attributes and formation of guiding vectors before the actual filtering process. This preliminary action prepares the structural information in advance, allowing the main filtering operation to focus on applying directional weights rather than computing structural features, thereby enhancing resolution while managing overall process complexity.
Data Source
AI summary
The present disclosure describes methods and systems, including computer-implemented methods, computer program products, and computer systems, for smoothing seismic data. One computer-implemented method includes obtaining, by a hardware data processing apparatus, a plurality of seismic data samples; forming, by the hardware data processing apparatus, guiding vectors using the plurality of seismic data samples and a plurality of guiding structure attributes; generating, by the hardware data processing apparatus, a structure guided directional weighted vector filter using the guiding vectors and a plurality of weighting factors; filtering, by the hardware data processing apparatus, the seismic data samples using the structure guided directional weighted vector filter to generate smoothed seismic data; and initiating output of the smoothed seismic data.