Dual-Sensor Seismic Data Processing Anti-Aliasing
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Solution Overview
Problem
Current seismic data processing methods struggle with spatial aliasing, leading to inaccurate handling of aliased energy and degradation of output quality, especially in dual-sensor data processing, where emergence angles are incorrectly treated due to aliasing issues.
Innovation Solution
A method for separating recorded seismic energy into aliased and unaliased parts in the frequency-wavenumber domain using specific obliquity factors, allowing for correct emergence angle determination and processing of aliased energy, which involves expressing pressure and particle velocity data as sums of unaliased and aliased parts and applying the free surface condition to these parts independently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional seismic data processing methods are used, then processing speed and simplicity are maintained, but spatial aliasing causes inaccurate handling of aliased energy and degradation of output quality
Solution Approach 1:
The seismic data is segmented into aliased and unaliased components in the frequency-wavenumber domain. By separating the data based on the aliasing characteristics, the method can process each component with appropriate handling, improving accuracy without requiring complete redesign of the entire processing system.
Solution Approach 2:
The method changes the processing approach by introducing specific obliquity factors that account for aliasing effects. By modifying the parameters used in wavefield separation (specifically the vertical wavenumber calculation), the method accurately handles aliased energy while maintaining computational feasibility.
2Reliability
If dual-sensor data processing is implemented, then wavefield separation capability is improved, but emergence angles are incorrectly treated due to aliasing issues
Solution Approach 1:
The method modifies the vertical wavenumber parameter by introducing specific obliquity factors that correct for aliasing effects. This parameter change ensures that emergence angles are accurately determined even when using dual-sensor data, resolving the contradiction between wavefield separation quality and emergence angle accuracy.
Solution Approach 2:
The method creates a corrected representation of the seismic data by applying obliquity factors that replicate the correct physical behavior. By copying and adjusting the data in the frequency-wavenumber domain, the method preserves wavefield separation quality while correcting emergence angle inaccuracies.
3Manufacturing precision
If aliased energy is processed using conventional methods, then processing simplicity is maintained, but output quality degrades due to incorrect handling
Solution Approach 1:
The method changes the processing parameters by introducing specific obliquity factors that account for aliasing. This allows aliased energy to be processed with the same computational framework as conventional methods, maintaining simplicity while improving output quality through parameter adjustment rather than complex algorithmic changes.
Data Source
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AI summary
Dual-sensor seismic data are separated into aliased and unaliased parts in a frequency-wavenumber domain. The seismic data in the unaliased part are processed using a conventional vertical wavenumber. The seismic data in the aliased part are processed using an alternative vertical wavenumber additionally based on a Nyquist wavenumber for the seismic data. The processed unaliased seismic data and the processed aliased seismic data are combined.