Using image warping for time-lapse image domain wavefield tomography
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Yang-2014-Using image warping.pdf
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Author(s)
Yang, Di
Malcolm, Alison E.
Fehler, Michael
Date Issued
May 2014
Journal
Geophysics
Publisher
Society of Exploration Geophysicists
Citation
Yang, Di, Alison Malcolm, and Michael Fehler. “Using Image Warping for Time-Lapse Image Domain Wavefield Tomography.” GEOPHYSICS 79, no. 3 (May 2014): WA141–WA151.
Version
Final published version
Abstract
Time-lapse seismic data are widely used for monitoring subsurface changes. A quantitative assessment of how reservoir properties have changed allows for better interpretation of fluid substitution and fluid migration during processes such as oil and gas production and carbon sequestration. Full-waveform inversion (FWI) has been proposed as a way to retrieve quantitative estimates of subsurface properties through seismic waveform fitting. However, for some monitoring systems, the offset range versus depth of interest is not large enough to provide information about the low-wavenumber component of the velocity model. We evaluated an image domain wavefield tomography (IDWT) method using the local warping between baseline and monitor images as the cost function. This cost function is sensitive to volumetric velocity anomalies, and it is capable of handling large velocity changes with very limited acquisition apertures, where traditional FWI fails. We described the theory and workflow of our method. Layered model examples were used to investigate the performance of the algorithm and its robustness to velocity errors and acquisition geometry perturbations. The Marmousi model was used to simulate a realistic situation in which IDWT successfully recovers time-lapse velocity changes.
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Massachusetts Institute of Technology. Earth Resources Laboratory
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1190/geo2013-0424.1
