Wave-equation-based AVO inversion: A 1.5D elastic full-waveform inversion technique for improved reservoir characterization

Abstract Accurate subsurface characterization is vital for hydrocarbon exploration and the energy transition. Full-waveform inversion (FWI) potentially provides a complete data model by fully simulating elastic wave propagation in 3D, but it is computationally demanding. Linear amplitude variation with offset (AVO) inversion is computationally efficient by deploying a 1.5D data model but is limited by simplifying assumptions like primary reflections only. This study introduces elastic wave-equation-based AVO (WEB-AVO), which combines the efficiency of AVO inversion with the physical accuracy of FWI. Adopting the localized 1.5D setup from the AVO world, WEB-AVO incorporates interbed multiples, mode conversions, and transmission effects as is the aim of 3D elastic FWI. The technology can be considered as a localized target-oriented elastic 1.5D FWI with the purpose of improving quantitative reservoir characterization while using the full bandwidth of the seismic data. Forward modeling and inversion examples from synthetic and field data demonstrate the improvements obtained by WEB-AVO, compared with linear, primaries-only AVO inversion, at a fraction of the cost of full elastic 3D FWI.

Authors

Institutions

Publication Details

Journal
The Leading Edge
Published
2025-05-01
DOI
https://doi.org/10.1190/tle44050415a1.1
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wave-equation-based AVO inversion: A 1.5D elastic full-waveform inversion technique for improved reservoir characterization

A. Gisolf, P. Haffinger, P. Doulgeris
The Leading Edge
Seismic Imaging and Inversion Techniques
article

Wave-equation-based AVO inversion: A 1.5D elastic full-waveform inversion technique for improved reservoir characterization

A. Gisolf, P. Haffinger, P. Doulgeris
article en

Abstract

Abstract Accurate subsurface characterization is vital for hydrocarbon exploration and the energy transition. Full-waveform inversion (FWI) potentially provides a complete data model by fully simulating elastic wave propagation in 3D, but it is computationally demanding. Linear amplitude variation with offset (AVO) inversion is computationally efficient by deploying a 1.5D data model but is limited by simplifying assumptions like primary reflections only. This study introduces elastic wave-equation-based AVO (WEB-AVO), which combines the efficiency of AVO inversion with the physical accuracy of FWI. Adopting the localized 1.5D setup from the AVO world, WEB-AVO incorporates interbed multiples, mode conversions, and transmission effects as is the aim of 3D elastic FWI. The technology can be considered as a localized target-oriented elastic 1.5D FWI with the purpose of improving quantitative reservoir characterization while using the full bandwidth of the seismic data. Forward modeling and inversion examples from synthetic and field data demonstrate the improvements obtained by WEB-AVO, compared with linear, primaries-only AVO inversion, at a fraction of the cost of full elastic 3D FWI.

The Leading EdgeVol. 44(5)
Delft University of Technology (NL)
Openalex Percentile: Top 88%
Seismic Imaging and Inversion Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Wave-equation-based AVO inversion: A 1.5D elastic full-waveform inversion technique for improved reservoir characterization — A. Gisolf, P. Haffinger, et al. · The Leading Edge (2025) | TGRS Research Map | TGRS