Down-Going Annihilation Operator for Water-Wave Seismic Imaging
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Solution Overview
Problem
Conventional seismic data processing methods, such as DDD and UDD, face limitations in accurately removing the water-wave from down-going data, leading to poor imaging, especially in shallow sections, due to assumptions about lateral shift invariance and receiver spacing.
Innovation Solution
The use of a down-going annihilation operator to derive a water-wave prediction by transforming the down-going wavefield and estimated water-wave into the plane-wave domain, followed by calculating the annihilation operator and transforming it back to the space-time domain, effectively reversing the polarity of the water-wave and attenuating it to improve imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If down/down deconvolution (DDD) is used to calculate reflectivity, then the method can process seismic data, but the water-wave must be attenuated which leads to poor imaging in shallow sections and deep-water areas
Solution Approach 1:
The patent extracts and removes the water-wave component from the down-going wavefield using an annihilation operator. By specifically targeting and eliminating the water-wave (which causes harmful interference in shallow sections), the method preserves the primary seismic signals while removing the detrimental effect, thus improving imaging quality in shallow and deep-water areas without sacrificing reflectivity estimation accuracy
Solution Approach 2:
The annihilation operator serves as an intermediary tool that mediates between the down-going wavefield and the final reflectivity image. This operator selectively annihilates the water-wave component while preserving other seismic signals, enabling accurate reflectivity estimation without the need for manual water-wave attenuation and its associated imaging degradation
2Productivity
If conventional DDD method is used, then processing can be performed, but receiver spacing limitations reduce imaging quality
Solution Approach 1:
The annihilation operator method is self-sufficient in that it directly processes the down-going wavefield to remove water-waves without requiring additional data or complex preprocessing steps. This self-service capability allows the method to maintain high imaging precision even with sparse receiver spacing, as it does not rely on dense sampling to compensate for water-wave attenuation errors
Data Source
AI summary
Methods and seismic data processing apparatuses use a down-going annihilation operator to generate an image from seismic data acquired over a water-covered subsurface formation. The down-going annihilation operator is derived using a down-going wavefield and an estimated water-wave extracted from the seismic data. The down-going annihilation operator may be derived in plane-wave domain.