Polarization Filtering Single Component Seismic Data Interface Wave Attenuation
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Solution Overview
Problem
Existing seismic survey techniques require multicomponent data for effective filtering of interface waves, which is limiting due to spatial sampling constraints and is not applicable to single-component land seismic data, and can negatively impact amplitude preservation in Amplitude Versus Offset (AVO) analysis.
Innovation Solution
A method using single component seismic data to generate a second component through differential normal moveout interpolation or dispersion curve analysis, allowing for polarization filtering to attenuate interface waves without the need for multicomponent data, thereby enabling increased receiver spacing and reducing acquisition costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multicomponent data is used for polarization filtering, then interface waves can be attenuated effectively, but receiver spacing is constrained due to spatial sampling requirements
Solution Approach 1:
The patent creates a synthetic second component by copying and processing the first component data through normal moveout (NMO) operations and rotation. This synthetic component is then combined with the original to form multicomponent data, eliminating the need for physical multicomponent receivers while maintaining the polarization filtering capability.
Solution Approach 2:
The patent introduces an intermediary processing step where the first component data is transformed through NMO and rotation operations to generate the second component. This intermediary process enables the creation of synthetic multicomponent data from single-component acquisitions, allowing polarization filtering without direct multicomponent measurements.
2Reliability
If multicomponent data is required for polarization filtering, then interface waves can be filtered, but the method becomes inapplicable to single-component land seismic data
Solution Approach 1:
The patent makes the polarization filtering method universal by enabling it to work with single-component data through synthetic component generation. The same filtering algorithm can now be applied to both traditional multicomponent data and single-component land seismic data, expanding the method's versatility across different acquisition types.
Solution Approach 2:
The patent creates a synthetic second component by copying and processing the first component data through normal moveout (NMO) operations and rotation. This synthetic component is then combined with the original to form multicomponent data, eliminating the need for physical multicomponent receivers while maintaining the polarization filtering capability.
3Reliability
If multichannel filtering techniques are used, then interface waves can be attenuated, but relative amplitudes of reflection signals are negatively impacted
Solution Approach 1:
The patent changes the approach from frequency-domain multichannel filtering to time-domain polarization filtering based on particle motion characteristics. This parameter change in the filtering domain preserves amplitude information while still achieving effective interface wave attenuation, maintaining the integrity of reflection signals for AVO analysis.
Solution Approach 2:
The patent converts the potentially harmful effect of filtering on amplitude preservation into a benefit by using polarization-based filtering that selectively targets interface waves based on their particle motion characteristics rather than frequency content. This allows interface wave attenuation while preserving the amplitude relationships of reflection signals.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for effective attenuation of interface waves in single component seismic data, reducing the number of seismic receivers needed and improving signal acquisition efficiency, while preserving relative amplitudes for better seismic imaging.
Implementation Method 1
seismic data indicating the response of the rock formations to the travel of elastic wave seismic energy
Implementation Method 2
the polarization characteristics of different wave types in multicomponent data may be characterized by the ellipticity ratio, tilt and azimuth angle attributes
Data Source
AI summary
Systems, methods, and computer-readable media for the attenuation of interface waves using polarization filtering applied to recorded single component seismic data are disclosed. A second component for polarization filtering is created by determining interface waves from the recorded data single component seismic data. The second component seismic data may be generated using an interface waves propagation model (in frequency or time-frequency domain) or by differential normal move-out (NMO) interpolation. Polarization filtering may be applied to multicomponent seismic data formed from the recorded single component seismic data and the generated second component seismic data to attenuate interface noise.