Angular Dependent Reflectivity for Seismic Multiple Removal
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Solution Overview
Problem
Current seismic data processing methods are ineffective in identifying and removing multiples under conditions with varying angular characteristics, leading to suboptimal reflectivity and challenges in separating primary arrivals from multiples.
Innovation Solution
A method that involves forward propagating seismic data, receiving angular dependent reflectivities, generating an angle-dependent reflecting wavefield, calculating a multiple model, and attenuating multiples through subtraction to produce demultiple data, which improves the accuracy of subsurface imaging by accounting for the incidence angle of waves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing seismic processing methods are used, then primary arrivals can be processed effectively, but multiples cannot be accurately identified and removed under varying angular conditions
Solution Approach 1:
The patent changes the reflectivity parameter from angle-independent to angle-dependent, allowing different reflectivity values for different incident angles. This enables accurate modeling of multiples under varying angular conditions, resolving the contradiction between reliable multiple removal and precise angular measurement.
2Ease of manufacture
If angle-independent reflectivity is assumed, then processing is simplified, but accuracy deteriorates for waves with different angular characteristics
Solution Approach 1:
The patent segments the reflectivity function by angle, creating angle-dependent reflectivity values for different incident angle ranges. This segmentation allows accurate representation of angular variations while maintaining a systematic processing framework, balancing simplicity and accuracy.
3Measurement precision
If multiples are not accurately separated from primaries, then subsurface imaging accuracy is reduced, but complex separation methods increase processing complexity
Solution Approach 1:
The patent employs a feedback mechanism where the angle-dependent reflectivity model is iteratively refined by comparing predicted multiples with actual seismic data. This feedback loop enables accurate multiple separation while maintaining processing efficiency through systematic iteration rather than complex one-time calculations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively separates and removes multiples, enhancing the accuracy of subsurface imaging for natural resource identification and other applications like carbon capture monitoring or wind turbine placement by accounting for the angular dependence of reflectivities.
Implementation Method 1
forward propagating the seismic data d into the subsurface to form forward propagated data dΦ
Implementation Method 2
receiving angular dependent reflectivities rθ, associated with an angular range Δθ, in the subsurface
Data Source
AI summary
A method for removing multiples m from seismic data d associated with a subsurface, the method including receiving the seismic data d associated with the subsurface, forward propagating the seismic data d into the subsurface to form forward propagated data dΦ; receiving angular dependent reflectivities rθ, associated with an angular range Δθ, in the subsurface, for a given point; generating an angle dependent reflecting wavefield DΦθrθ based on the forward propagated data dΦ and the angular dependent reflectivities rθ; calculating a multiple model ΦDΦθrθ by forward propagating the angle dependent reflecting wavefield DΦθrθ to the receiver; attenuating multiplies m associated with the multiple model, from the seismic data d, by subtraction of the multiple model to calculate demultiple data dd; and generating an image of the subsurface.