Seismic Imaging with Temporal Decomposition for Noise Reduction
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Solution Overview
Problem
The large volume of seismic data poses computational challenges in generating high-quality images without excessive noise, making it difficult to efficiently process and interpret subsurface geological features.
Innovation Solution
A data processing system with an image processor configured with a time gating condition that allows for efficient creation of angle gathers during migration of primary or multiple reflections, using a temporal decomposition imaging condition to decompose seismic data into components, reducing computational resources by up to 99% compared to previous methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional seismic data processing methods are used to generate high-quality images, then image quality and detail are improved, but computational time and resource requirements increase excessively
Solution Approach 1:
The patent applies segmentation by dividing the seismic wavefield into multiple temporal components using a temporal decomposition imaging condition. This allows different time segments to be processed independently and efficiently, reducing overall computational time while maintaining image quality through selective processing of relevant temporal information.
Solution Approach 2:
The patent extracts and isolates primary reflection signals from the seismic data using a time gating condition. By extracting only the relevant signal components and excluding unrelated temporal information, the method reduces computational burden while preserving the essential imaging information needed for high-quality subsurface images.
2Object-affected harmful factors
If traditional seismic data processing methods are used to reduce noise, then noise suppression is improved, but computational resources required increase significantly
Solution Approach 1:
The patent converts the potentially harmful effect of processing large volumes of data containing noise into a benefit by using temporal decomposition to identify and isolate noise-free temporal segments. The time gating condition selectively processes only the useful signal portions, effectively converting the challenge of noise reduction into an efficient selective processing approach that improves both noise suppression and computational efficiency.
3Measurement precision
If detailed subsurface imaging is achieved through comprehensive processing, then interpretation accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the complex processing task into manageable temporal components using the temporal decomposition imaging condition. This segmentation allows each component to be processed with simpler, more efficient algorithms while the overall interpretation accuracy is maintained through the combination of segmented results, thereby reducing processing complexity without sacrificing detail.
Data Source
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AI summary
Systems and methods of performing a seismic survey are described. The system can receive seismic data. The system receives seismic data from one or more seismic data sources. The system propagates the seismic data forward in time through a subsurface model to generate a first wavefield. The system propagates the seismic data backward in time through the subsurface model to generate a second wavefield. The system combines the first wavefield with the second wavefield using a time gate imaging condition to produce subsurface images and image gathers.