Seismic Data Deghosting via Radon Transform
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Solution Overview
Problem
Existing methods for deghosting seismic data collected with streamers of varying depths are inefficient, particularly when a velocity field is not available, and cannot effectively handle three-dimensional data or curved streamer configurations.
Innovation Solution
A method using a modified linear least squares Radon algorithm to model seismic data in the shot or common midpoint domain, applying a tau-p transform to separate primary and ghost components, and re-datum them to the sea surface, allowing for ghost removal without requiring a velocity field, and extending this to three-dimensional data using slowness estimates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional deghosting methods are used, then ghost removal can be achieved, but the process requires a velocity field which is not always available and reduces efficiency
Solution Approach 1:
The patent extracts the velocity field requirement from the deghosting process by using a different mathematical approach (modified linear least squares Radon algorithm) that models seismic data as a function of linear operators, thereby removing the dependency on velocity field information while maintaining deghosting capability
Solution Approach 2:
The patent changes the fundamental parameters of the deghosting approach by transitioning from velocity-field-dependent methods to a method based on linear operator modeling and Radon transforms, fundamentally altering how the deghosting process is parameterized and executed
2Reliability
If conventional deghosting algorithms are applied, then processing can be performed, but they cannot effectively handle three-dimensional data or curved streamer configurations
Solution Approach 1:
The modified linear least squares Radon algorithm provides a universal framework that can handle multiple data types (2D and 3D seismic data) and various streamer configurations (straight and curved) through a single unified mathematical approach, eliminating the need for separate processing algorithms
Solution Approach 2:
The patent extends the deghosting method to three-dimensional data by incorporating slowness estimates and adapting the Radon transform for 3D shot or common midpoint domains, thereby adding dimensional capability while maintaining the core algorithmic structure
Data Source
AI summary
Computing device, computer instructions and method for deghosting seismic data related to a subsurface of a body of water. The method includes receiving seismic data recorded by seismic receivers that are towed by a vessel, wherein the seismic data is recorded in a time-space domain and the seismic receivers are located at different depths (zr) in the body of water; modeling the seismic data in a shot or common midpoint domain as a function of linear operators that re-ghost the receiver to derive a model; using the derived model to remove the receiver ghost from the seismic data to obtain deghosted seismic data; and generating a final image of the subsurface based on the deghosted seismic data.