Determination of lower and upper bounds of predicted production from history-matched models-Reference-Cited by-同舟云学术

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Determination of lower and upper bounds of predicted production from history-matched models

Published:2016-06-02 Issue:5 Volume:20 Page:1061-1073
ISSN:1420-0597
Container-title:Computational Geosciences
language:en
Short-container-title:Comput Geosci

Author:

van Essen G. M.,Kahrobaei S.,van Oeveren H.,Van den Hof P. M. J.,Jansen J. D.

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s10596-016-9576-1/fulltext.html

Reference24 articles.

1. 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(3), 393–412 (2009). doi: 10.2118/117274-PA

2. Bratvold, R.B., Bickel, J.E., Lohne, H.P.: Value of information in the oil and gas industry: past, present, and future. SPE J. 12(4), 630–638 (2009). doi: 10.2118/110378-PA

3. Chen, Y., Oliver, D.S., Zhang, D.: Efficient ensemble-based closed-loop production optimization. SPE J. 14(4), 634–645 (2009). doi: 10.2118/112873-PA

4. Chen, C., Li, G., Reynolds, A., et al.: Robust constrained optimization of short-and long-term net present value for closed-loop reservoir management. SPE J. 17(03), 849–864 (2012). doi: 10.2118/141314--PA

5. den Dekker, A.J., Bombois, X., Van den Hof, P.M.J.: Finite sample confidence regions for parameters in prediction error identification using output error models. Proc. 17th IFAC World Congress, Seoul Korea, 6-11-July (2008)

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