Blended Seismic Data Coherent Noise Attenuation
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Solution Overview
Problem
Current seismic data processing techniques struggle with effectively attenuating coherent noise, particularly in simultaneous source acquisition methods, leading to interference and reduced image quality in seismic surveys, especially in land and shallow water environments.
Innovation Solution
A method that estimates coherent noise properties over a surveyed region using blended seismic data, models coherent noise from a single shot, and applies source- and receiver-side static adjustments to attenuate noise before source separation, improving image quality by reducing cross-talk noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple seismic sources are used in simultaneous acquisition, then productivity increases, but coherent noise and cross-talk interference increase
Solution Approach 1:
The patent applies preliminary action by performing noise attenuation processing before source separation. The method first estimates coherent noise properties from blended data, then models and attenuates the noise before attempting to separate individual source signals. This preliminary noise reduction step improves the effectiveness of subsequent source separation and imaging operations.
Solution Approach 2:
The patent extracts coherent noise from the blended seismic data through a dedicated noise estimation and modeling process. By separating the noise component from the useful signal before final processing, the method enables cleaner source separation and improved image quality while maintaining the productivity benefits of simultaneous source acquisition.
2Device complexity
If coherent noise is not attenuated before source separation, then processing complexity is reduced, but image quality and signal clarity deteriorate
Solution Approach 1:
The patent performs preliminary noise attenuation before source separation to improve image quality. By estimating coherent noise properties from blended data and modeling the noise before separation, the method enhances signal clarity without requiring overly complex processing steps during the source separation phase itself.
Solution Approach 2:
The patent segments the processing into distinct stages: noise estimation from blended data, noise modeling, noise attenuation, and then source separation. This segmentation allows each step to be optimized independently, maintaining manageable processing complexity while achieving high image quality through systematic noise removal before the critical source separation operation.
Data Source
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AI summary
A method includes acquiring seismic data of a region that utilizes multiple seismic energy sources and seismic energy receivers where the seismic data include blended seismic data for a number of emissions from a corresponding number of the multiple seismic energy sources; determining spatially distributed coherent noise properties for the region using the blended seismic data; via the spatially distributed coherent noise properties, modeling coherent noise as at least two coherent noise models for at least two of the emissions from a corresponding at least two of the multiple seismic energy sources; via the coherent noise models, attenuating coherent noise in a portion of the blended seismic data to generate coherent noise attenuated blended seismic data; deblending the coherent noise attenuated blended seismic data to generate deblended seismic data; and rendering an image of at least a portion of the region to a display using the deblended seismic data.