Feasibility of <i>V</i> P, <i>V</i> S, density inversion by elastic FWI

Abstract We utilize a VP-VS-density parameterization in elastic full-waveform inversion (EFWI) to invert hydrophone seismic data for subsurface earth properties. This inversion is feasible due to the amplitude variation with angle (AVA) behavior of primary-to-primary reflection data, which directly relates to contrasts in elastic parameters across subsurface interfaces. EFWI provides a natural framework for this process. To achieve this, we employ an adjoint-state approach to compute objective function gradients, enabling joint simultaneous elastic inversion for VP, VS, and density without relying on well-log constraints. One of our primary goals is to eliminate the use of well-log constraints, offering a significant advantage over standard AVA analysis derived from migrated image gathers, which often depend on such constraints for accurate inversion. Our inverted acoustic impedance, density, and VP-VS ratios from EFWI show good agreement with well logs and standard AVA results from migrated gathers, indicating that EFWI is robust for determining elastic subsurface earth properties directly from hydrophone data.

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Publication Details

Journal
The Leading Edge
Published
2025-05-01
DOI
https://doi.org/10.1190/tle44050403.1
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Feasibility of V P, V S, density inversion by elastic FWI

Peng Shen, Hermes Malcotti, Anusha Sekar, Uwe Albertin et al.
The Leading Edge
Seismic Imaging and Inversion Techniques
article

Feasibility of V P, V S, density inversion by elastic FWI

Peng Shen, Hermes Malcotti, Anusha Sekar, Uwe Albertin, Josh Haataja
article en

Abstract

Abstract We utilize a VP-VS-density parameterization in elastic full-waveform inversion (EFWI) to invert hydrophone seismic data for subsurface earth properties. This inversion is feasible due to the amplitude variation with angle (AVA) behavior of primary-to-primary reflection data, which directly relates to contrasts in elastic parameters across subsurface interfaces. EFWI provides a natural framework for this process. To achieve this, we employ an adjoint-state approach to compute objective function gradients, enabling joint simultaneous elastic inversion for VP, VS, and density without relying on well-log constraints. One of our primary goals is to eliminate the use of well-log constraints, offering a significant advantage over standard AVA analysis derived from migrated image gathers, which often depend on such constraints for accurate inversion. Our inverted acoustic impedance, density, and VP-VS ratios from EFWI show good agreement with well logs and standard AVA results from migrated gathers, indicating that EFWI is robust for determining elastic subsurface earth properties directly from hydrophone data.

The Leading EdgeVol. 44(5)
Chevron (United States) (US)
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Openalex Percentile: Top 88%
Seismic Imaging and Inversion Techniques
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Feasibility of <i>V</i> P, <i>V</i> S, density inversion by elastic FWI — Peng Shen, Hermes Malcotti, et al. · The Leading Edge (2025) | TGRS Research Map | TGRS