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High-Resolution Subsurface Characterization Using Seismic Inversion—Methodology and Examples

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This review shows advances in seismic inversion methods for subsurface characterization, suggesting improved accuracy and efficiency.

Seismic inversion enhances subsurface characterization by estimating elastic properties from seismic data, validating models with observed data.
Current amplitude-variation-with-angle inversion methods may fail to accurately estimate subsurface properties due to convolutional assumptions.
A new waveform-based method utilizes an analytical wave equation solver for better forward modeling and optimization in subsurface studies.
Advancements in artificial intelligence technology aim to improve the computational efficiency of high-resolution seismic inversion methods.

Mallick et al. (2025) studied this question.

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