Full Waveform Inversion with Angle-Dependent Parameters

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Solution Overview

Problem

Current reflection seismology methods face challenges in accurately determining subsurface characteristics, particularly in regions with complex geological structures, due to limitations in processing seismic data and modeling subsurface properties.

Innovation Solution

The proposed method involves receiving seismic data from a subsurface region, performing a full waveform inversion using a model that includes angle-dependent parameters, and outputting the determined characteristics of the subsurface region.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional reflection seismology methods are used, then the process is simpler, but the accuracy of subsurface characterization is insufficient

Engineering Contradiction:
Improveaccuracy of subsurface characterizationVSAvoidcomplexity of processing method
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by introducing angle-dependent model parameters into the full waveform inversion process. Instead of using conventional isotropic parameters, the method incorporates parameters that vary with angle (such as α0, α1, α2, α3) to better characterize anisotropic subsurface properties. This parameter transformation enables more accurate representation of complex geological structures while maintaining computational feasibility through systematic parameter substitution in the inversion equations.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If angle-dependent model parameters are introduced, then the accuracy of seismic data interpretation is improved, but the computational complexity increases

Engineering Contradiction:
Improveaccuracy of seismic data interpretationVSAvoidcomplexity of inversion model
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing the angle-dependent model parameters into distinct components (α0, α1, α2, α3) that correspond to different physical characteristics. This segmentation allows the complex inversion problem to be broken down into manageable parts, where each parameter can be inverted separately or in small groups. The segmented parameter structure reduces the computational burden compared to inverting all angle-dependent parameters simultaneously, while still capturing the full complexity of anisotropic subsurface properties.

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If full waveform inversion with angle-dependent parameters is performed, then subsurface property determination is more accurate, but processing time increases

Engineering Contradiction:
Improveprecision of subsurface property determinationVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies partial action by selectively inverting only the necessary angle-dependent parameters for each specific subsurface property being characterized. Rather than inverting all possible angle-dependent parameters simultaneously, the method identifies and inverts only the minimal set required for accurate property determination (such as velocity, density, or elastic moduli). This selective inversion approach reduces processing time while maintaining sufficient accuracy, as excessive parameters would only add computational burden without providing additional useful information.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20250155596A1Reflection seismology framework
Publication Date: 2025.05.15 SCHLUMBERGER TECH CORP
  • US20250155596A1 patent drawing
  • US20250155596A1 patent drawing
  • US20250155596A1 patent drawing

AI summary

A method can include receiving seismic data of a seismic survey of a subsurface region; performing a full waveform inversion using the seismic data and a model of the subsurface region to determine one or more characteristics of the subsurface region, where the model of the subsurface region includes one or more angle-dependent model parameters; and outputting the one or more characteristics of the subsurface region.