Pre-inversion Noise Attenuation for Seismic Data Separation
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Solution Overview
Problem
Existing multiple source and receiver seismic systems face challenges in effectively attenuating noise in seismic data, as post-inversion noise attenuation methods often fail to properly compensate for measured noise, leading to suboptimal signal separation.
Innovation Solution
A method and system for pre-inversion noise attenuation in seismic data, involving the acquisition of seismic data, noise attenuation using filters like frequency-wavenumber and frequency-space domain filters, and subsequent inversion of corrected receiver data with source data to separate vibratory signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If post-inversion noise attenuation methods are used, then the processing complexity is reduced, but the noise attenuation effectiveness deteriorates
Solution Approach 1:
The patent applies noise attenuation functions to the receiver measurements before performing matrix inversion, rather than after. This preliminary action removes noise from the input data, ensuring that the inversion process works with cleaner signals, thereby achieving better noise attenuation effectiveness without increasing processing complexity
2Measurement precision
If pre-inversion noise attenuation is applied, then the signal separation quality is improved, but the processing time is increased
Solution Approach 1:
By applying noise attenuation functions to the receiver measurements before matrix inversion, the patent improves signal separation quality by removing noise early in the processing chain. This approach actually reduces overall processing time compared to iterative post-inversion methods, as the inversion operates on cleaner data requiring fewer iterations
3Productivity
If noise attenuation is applied after matrix inversion, then the computational efficiency is maintained, but the noise compensation accuracy deteriorates
Solution Approach 1:
The patent applies noise attenuation functions to the receiver measurements before matrix inversion, maintaining computational efficiency by using standard inversion algorithms while dramatically improving noise compensation accuracy. The inversion process itself then separates the signals from the already-cleaned measurements
Data Source
AI summary
A method and apparatus for pre-inversion noise attenuation of seismic data. The method can generally comprise: (a) acquiring seismic data including receiver data corresponding to vibratory signals simultaneously generated by the multiple sources and detected by at least one of the receivers at a location remote from the sources and source data corresponding to the vibratory signals detected at a location in proximity to the sources; (b) attenuating noise present within at least a portion of the receiver data to generate corrected receiver data; and (c) inverting the corrected receiver data with the source data to separate the vibratory signals.