Non-Uniform Seismic Sampling Grid for Compressive Deblending
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Solution Overview
Problem
Existing seismic survey methods face challenges in achieving efficient data acquisition and reconstruction due to limitations in sampling rates and interference between sources, leading to noise contamination and reduced data resolution.
Innovation Solution
Implementing non-uniform optimal sampling principles using compressive sensing to design a non-uniform sampling grid that minimizes mutual coherence, allowing for blended source acquisition with continuous data recording and improved deblending techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uniform sampling is used according to Nyquist-Shannon sampling theorem, then all information from continuous-time signal is captured, but far fewer measurements are required with compressive sensing
Solution Approach 1:
The patent transforms the sampling approach from uniform to non-uniform by changing the temporal spacing parameter. Shot intervals are varied according to a non-uniform pattern (e.g., using prime number sequences or random variations) rather than fixed uniform intervals, enabling compressive sensing to reconstruct signals from fewer measurements while maintaining signal integrity
Solution Approach 2:
The sampling rate and shot intervals are made dynamic rather than static. The system adjusts shot timing dynamically based on the non-uniform sampling design, allowing the acquisition system to adaptively capture essential signal information at variable rates,从而实现 efficient compressive sensing reconstruction
2Productivity
If multiple sources are blended to increase productivity, then data acquisition speed increases, but noise contamination and interference between sources increase
Solution Approach 1:
The patent introduces asymmetry in the temporal spacing of blended sources. By using non-uniform shot intervals with prime number relationships or random variations between different source groups, the system creates asymmetric timing patterns that minimize harmonic interference and noise contamination while allowing multiple sources to operate simultaneously
Solution Approach 2:
The patent converts the potentially harmful interference between blended sources into a beneficial signal separation mechanism. By deliberately designing non-uniform shot intervals, the interference patterns become predictable and separable through deblending algorithms, transforming what would be noise into reconstructable signal components
3Measurement precision
If random sampling is used as suggested by compressive sensing theory, then successful signal recovery is achieved, but concerns and uncertainties arise in seismic survey applications
Solution Approach 1:
The patent applies local quality by using different sampling strategies for different parts of the survey. Rather than purely random sampling, the system uses structured non-uniform patterns (such as prime number sequences or controlled random variations) that provide local predictability and reliability while maintaining the overall compressive sensing benefits of reduced sampling requirements
Data Source
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AI summary
Method for acquiring seismic data is described. The method includes determining a non-uniform optimal sampling design that includes a compressive sensing sampling grid. Placing a plurality of source lines or receiver lines at a non-uniform optimal line interval. Placing a plurality of receivers or nodes at a non-uniform optimal receiver interval. Towing a plurality of streamers attached to a vessel, wherein the plurality of streamers is spaced apart at non-uniform optimal intervals based on the compressive sensing sampling grid. Firing a plurality of shots from one or more seismic sources at non-uniform optimal shot intervals. Acquiring seismic data via the plurality of receivers or nodes.