Single Component Seismic Data Interface Wave Attenuation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for filtering interface waves, such as Scholte and Rayleigh waves, from seismic data require multiple seismic traces and multi-component data, leading to high computing costs and times, making them inefficient.
Innovation Solution
A method that filters seismic data by comparing amplitude coefficients and frequencies in the time-frequency domain against thresholds, performing inverse time-frequency transformations to generate noise models, and subtracting these models from the data to produce filtered seismic data, which can be done using single-component data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple seismic traces and multi-component data are used for filtering interface waves, then filtering effectiveness is improved, but computing costs and processing time increase
Solution Approach 1:
The patent extracts and removes interface wave components from seismic data by transforming the data into the frequency-wavenumber domain, identifying interface waves based on their characteristic frequency-wavenumber relationships, and selectively attenuating these components. This extraction approach achieves effective filtering without requiring multiple seismic traces or multi-component data, thereby reducing processing time while maintaining filtering effectiveness
Solution Approach 2:
The patent replaces traditional mechanical filtering methods that require multiple physical seismic traces with a mathematical transformation approach using frequency-wavenumber analysis. By substituting the mechanical multi-trace system with a computational transformation method, the patent achieves comparable or superior filtering results with single-component data, significantly reducing processing time and computational costs
2Reliability
If multiple seismic traces and multi-component data are used for filtering interface waves, then filtering effectiveness is improved, but computing costs increase
Solution Approach 1:
The patent extracts interface wave components through frequency-wavenumber transformation and selectively removes them based on their characteristic signatures. This extraction method achieves effective filtering using only single-component data, eliminating the need for computationally intensive processing of multiple seismic traces and multi-component data, thereby significantly reducing computing costs while maintaining filtering effectiveness
Solution Approach 2:
The patent changes the representation parameters of seismic data by transforming from the time-domain to the frequency-wavenumber domain. This parameter transformation enables the identification and attenuation of interface waves based on their unique frequency-wavenumber characteristics, achieving effective filtering with reduced computational requirements compared to traditional methods that process multiple traces in the original domain
3Reliability
If traditional filtering methods are used, then interface waves can be attenuated, but the methods require complex multi-channel processing
Solution Approach 1:
The patent replaces complex mechanical multi-channel processing systems with a simplified mathematical transformation approach. By using frequency-wavenumber transformation on single-component data, the patent achieves interface wave attenuation without requiring complex multi-channel hardware or processing architectures, significantly reducing processing complexity while maintaining attenuation effectiveness
Solution Approach 2:
The patent creates a universal filtering method that works with single-component seismic data across different acquisition configurations (land, marine, and transition zone environments). This universal approach eliminates the need for complex multi-channel processing by achieving interface wave attenuation through a single, adaptable frequency-wavenumber transformation method that functions effectively regardless of the specific data acquisition setup
Data Source
AI summary
Systems and methods for filtering interface waves from single component seismic data are disclosed. In one embodiment, a method of filtering seismic data includes comparing amplitude coefficients of a matrix storing the seismic data in a time-frequency domain against an amplitude threshold, and comparing frequencies of the matrix against a maximum expected frequency of noise. The method further includes, for each amplitude coefficient having less than the amplitude threshold and an associated frequency less than the maximum expected frequency of noise, scaling the amplitude coefficient to reduce its value. The method also includes performing an inverse time-frequency transformation on the matrix to generate a noise model in a time domain, and subtracting the noise model from the seismic data in the time domain to generate filtered seismic data.


