Time-lapse model by 4D dynamic matching joint full-waveform inversion

The 4D seismic method has been increasingly applied since being introduced some four decades ago for reservoir monitoring including pressure changes and fluid replacements. At the same time, seismic imaging technique has been steadily improved in term of resolution, driven by advances in data acquisition and imaging algorithms. Most notably, full waveform inversion (FWI) has been widely applied due to its resolving power for sub-surface structures. However, it is still a challenge to reliably obtain a 4DFWI model that is genuinely attributed to changes in reservoir since other factors such as non-repeatability of data acquisition between baseline and monitor surveys can contribute to time-lapse data differences as well. In this study, we propose and implement a 4D joint inversion scheme formulated in the framework of dynamic matching FWI (DM FWI) and applied it to obtain a high resolution 4D model using datasets acquired in the North Sea over an active reservoir zone. The 4D joint inversion offers efficient turn-around while producing coherent 4D velocity model responses.

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Publication Details

Published
2025-02-05
DOI
https://doi.org/10.1190/4d-forum2024-015.1
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
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Time-lapse model by 4D dynamic matching joint full-waveform inversion

David Cavalin, Lifeng Wang, Fuchun Gao, Dan Davies et al.
Seismic Imaging and Inversion Techniques
article

Time-lapse model by 4D dynamic matching joint full-waveform inversion

David Cavalin, Lifeng Wang, Fuchun Gao, Dan Davies, P. Tillotson, Carlos Calderón, Faqi Liu, L. Saxton
article en

Abstract

The 4D seismic method has been increasingly applied since being introduced some four decades ago for reservoir monitoring including pressure changes and fluid replacements. At the same time, seismic imaging technique has been steadily improved in term of resolution, driven by advances in data acquisition and imaging algorithms. Most notably, full waveform inversion (FWI) has been widely applied due to its resolving power for sub-surface structures. However, it is still a challenge to reliably obtain a 4DFWI model that is genuinely attributed to changes in reservoir since other factors such as non-repeatability of data acquisition between baseline and monitor surveys can contribute to time-lapse data differences as well. In this study, we propose and implement a 4D joint inversion scheme formulated in the framework of dynamic matching FWI (DM FWI) and applied it to obtain a high resolution 4D model using datasets acquired in the North Sea over an active reservoir zone. The 4D joint inversion offers efficient turn-around while producing coherent 4D velocity model responses.

Openalex Percentile: Top 98%
Seismic Imaging and Inversion Techniques
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