Value of information analysis and global optimization applied for reservoir development

Author:

Tanaka Kei1,Goda Takashi2,Sato Kozo1,Ogushi Makoto3,Shimano Hirobumi3,Fujisawa Eiji3,Tomoeda Jotaro3

Affiliation:

1. Frontier Research Center for Energy and Resources, School of Engineering, The University of Tokyo

2. Department of Systems Innovation, School of Engineering, The University of Tokyo

3. JX Nippon Oil & Gas Exploration Corporation

Publisher

Japanese Association for Petroleum Engineers

Reference12 articles.

1. Bickle, J. E., Gibson, R. L., McVay, D. A., Pickering, S. and Waggoner, J., 2008 : Quantifying the reliability and value of 3D land seismic. SPE Res. Eval. & Eng., 11(5), 832-841.

2. Bratvold, R. B., Bickle, J. E. and Lohne, H.P., 2009 : Value of information in the oil and gas industry. SPE Res. Eval. & Eng., 12(4), 630-638.

3. Coello, C. A. C., and Lechuga, M. S. 2002 : MOPSO : A proposal for multiple objective particle swarm optimization. Proceedings of the 2002 Congress on Evolutionary Computation.

4. Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T. A. M. T. 2002 : A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE trans. evol. comput., 6(2), 182-197.

5. Goda, T., Nakayasu, M., Murakami, D. and Sato, K., 2015 : Effects of likelihood functions on value of information analysis in resource development. Jour. Jpn. Petrol. Inst., 58(6), 376-383.

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