Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection
-
Published:2020-03-09
Issue:3
Volume:24
Page:1201-1220
-
ISSN:1420-0597
-
Container-title:Computational Geosciences
-
language:en
-
Short-container-title:Comput Geosci
Author:
Tveit SvennORCID, Mannseth Trond, Park Joonsang, Sauvin Guillaume, Agersborg Remy
Abstract
AbstractA sequential inversion methodology for combining geophysical data types of different resolutions is developed and applied to monitoring of large-scale CO2 injection. The methodology is a two-step approach within the Bayesian framework where lower resolution data are inverted first, and subsequently used in the generation of the prior model for inversion of the higher resolution data. For the application of CO2 monitoring, the first step is done with either controlled source electromagnetic (CSEM) or gravimetric data, while the second step is done with seismic amplitude-versus-offset (AVO) data. The Bayesian inverse problems are solved by sampling the posterior probability distributions using either the ensemble Kalman filter or ensemble smoother with multiple data assimilation. A model-based parameterization is used to represent the unknown geophysical parameters: electric conductivity, density, and seismic velocity. The parameterization is well suited for identification of CO2 plume location and variation of geophysical parameters within the regions corresponding to inside and outside of the plume. The inversion methodology is applied to a synthetic monitoring test case where geophysical data are made from fluid-flow simulation of large-scale CO2 sequestration in the Skade formation. The numerical experiments show that seismic AVO inversion results are improved with the sequential inversion methodology using prior information from either CSEM or gravimetric inversion.
Funder
Norges Forskningsråd
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Computational Theory and Mathematics,Computers in Earth Sciences,Computer Science Applications
Reference81 articles.
1. Aanonsen, S.I., Nævdal, G., Oliver, D.S., Reynolds, A.C., Vallés, B.: The ensemble Kalman filter in reservoir engineering – a review. SPE J 14(3), 393–412 (2009) 2. Abubakar, A., Gao, G., Habashy, T.M., Liu, J.: Joint inversion approaches for geophysical electromagnetic and elastic full-waveform data. Inverse Probl. 28(5), 055016 (2012) 3. Agersborg, R., Hille, L.T., Lien, M., Lindgård, J.E., Ruiz, H., Vatshelle, M.: Mapping water influx and hydrocarbon depletion in offshore reservoirs using gravimetry: requirements on gravimeter calibration. In: SEG Technical Program Expanded Abstracts 2017, pp 1803–1807. Society of Exploration Geophysicists, Houston (2017) 4. Aki, K., Richards, P.G.: Quantitative seismology: Theory and methods. W.H freeman & co (1980) 5. Alnes, H., Eiken, O., Nooner, S., Sasagawa, G., Stenvold, T., Zumberge, M.: Results from Sleipner gravity monitoring: updated density and temperature distribution of the CO2 plume. Energy Proced. 4, 5504–5511 (2011)
Cited by
16 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|