Deep learning-aided image-oriented history matching of geophysical data-Reference-Cited by-同舟云学术

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Deep learning-aided image-oriented history matching of geophysical data

Published:2023-06-17 Issue:4 Volume:27 Page:591-604
ISSN:1420-0597
Container-title:Computational Geosciences
language:en
Short-container-title:Comput Geosci

Author:

Zhang Yanhui,Katterbauer Klemens,Zhang Tao,AlShehri Abdallah A.,Hoteit Ibrahim

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computers in Earth Sciences,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s10596-023-10227-0.pdf

Reference52 articles.

1. Oliver, D.S., Reynolds, A.C., Liu, N.: Inverse theory for petroleum reservoir characterization and history matching. Cambridge University Press, Cambridge (2008). https://doi.org/10.1017/CBO9780511535642

2. Oliver, D.S., Chen, Y.: Recent progress on reservoir history matching: A review. Comput. Geosci. 15, 185–221 (2011). https://doi.org/10.1007/s10596-010-9194-2

3. Aanonsen, S.I., Nævdal, G., Oliver, D.S., Reynolds, A.C., Vallès, B.: The ensemble Kalman filter in reservoir engineering–a review. SPE J. 14, 393–412 (2009). https://doi.org/10.2118/117274-PA

4. Hoteit, I., Pham, D.T., Gharamti, M.E., Luo, X.: Mitigating observation perturbation sampling errors in the stochastic EnKF. Mon. Weather Rev. 143, 2918–2936 (2015). https://doi.org/10.1175/MWR-D-14-00088.1

5. Abadpour, A., Adejare, M., Chugunova, T., Mathieu, H., Haller, N.: Integrated geo-modeling and ensemble history matching of complex fractured carbonate and deep offshore turbidite fields, generation of several geologically coherent solutions using ensemble methods. In: Abu Dhabi International Petroleum Exhibition & Conference (2018). https://doi.org/10.2118/193028-MS

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