Adaptive Subtraction for Seismic Multiple Removal
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Solution Overview
Problem
Current seismic processing methods fail to optimally remove multiples from time-lapse seismic data vintages acquired at different times, leading to residual multiple energies that obscure real changes in the subsurface, especially when data acquisition configurations and geometries vary.
Innovation Solution
A method that simultaneously minimizes the cost function of differences between data and model-predicted multiples across multiple seismic data vintages, using adaptive subtraction to reduce residual multiple leakage in the 4D difference, allowing for clearer imaging of subsurface changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional seismic processing methods are used to remove multiples from time-lapse data, then multiple subtraction is performed, but residual multiple energies remain that obscure real subsurface changes
Solution Approach 1:
The patent applies dynamic adaptation by adjusting the multiple subtraction process for each time-lapse vintage individually. The adaptive subtraction operator is optimized separately for each vintage, allowing the system to dynamically respond to variations in acquisition geometry and conditions across different survey times, thereby eliminating residual multiples while preserving real subsurface changes
Solution Approach 2:
The patent changes the parameters of the multiple subtraction process by optimizing the adaptive subtraction operator for each specific vintage. This involves adjusting the operator parameters based on the specific acquisition conditions, offset range, and geometry of each survey time, which enables effective removal of multiples while maintaining the ability to detect real changes
2Reliability
If adaptive subtraction is applied to remove multiples, then multiple removal improves, but residual multiple leakage persists in the 4D difference
Solution Approach 1:
The patent segments the multiple subtraction process by treating each time-lapse vintage independently. Each vintage is processed with its own optimized adaptive subtraction operator, which allows the system to identify and remove multiples specific to each survey time without introducing leakage into the 4D difference
3Measurement precision
If multiple subtraction is performed on time-lapse data, then multiple removal is achieved, but the process becomes complex when acquisition configurations vary
Solution Approach 1:
The patent makes the multiple subtraction process dynamic by adapting the operator to each specific vintage's acquisition configuration. This dynamic adaptation allows the system to handle varying offset ranges, cable lengths, and geometries without requiring a completely different processing approach for each configuration
Solution Approach 2:
The patent creates a universal adaptive subtraction operator that can be optimized for each vintage while maintaining a consistent processing framework. This universal approach allows the same basic algorithm to handle multiple acquisition configurations through vintage-specific optimization, reducing overall processing complexity
Data Source
AI summary
A method, an apparatus and a computer readable medium for generating an image of a subsurface based on seismic data corresponding to at least two different times, for a same surveyed area are provided. A cost function, which is a sum over the seismic data vintages of a norm of differences between data and model predicted multiples, is minimized subject to minimizing residual multiples that are differences of corresponding multiples belonging to different vintages among the seismic data vintages.