Field development optimization under geological uncertainty

Reza Yousefzadeh; Alireza Kazemi; Mohammad Ahmadi; Jebraeel Gholinezhad

doi:10.1007/978-3-031-28079-5_5

Field development optimization under geological uncertainty

Reza Yousefzadeh^*, Alireza Kazemi, Mohammad Ahmadi, Jebraeel Gholinezhad

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

Decision making about field development plans has to consider the inherent uncertainties of sub-surface hydrocarbon reservoirs; therefore, the decisions would be stable under different geological scenarios. As described in Sect. 1.5.1, the aim of this kind of uncertainty management is to propagate the uncertainty from inputs to the outputs. Therefore, instead of a single deterministic output, the output will be probabilistic from which some statistical measures, such as the expected value, standard deviation, etc. can be calculated to account for the uncertainty. Therefore, the final decision regarding the field development plan can be taken according to the statistical measures. This kind of uncertainty management is also known as the robust field development optimization as explained in the following. In addition, different risk measures, different approaches to selecting an ensemble of representative geological realizations to be used in robust optimization, decreasing the computational cost of the optimization under geological uncertainty by constrained optimization, and challenges related to these activities are described in this chapter.

Original language	English
Title of host publication	Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization
Subtitle of host publication	Robust Optimization and History Matching
Publisher	Springer
Pages	93-113
Number of pages	21
Edition	1st
ISBN (Electronic)	9783031280795
ISBN (Print)	9783031280788
DOIs	https://doi.org/10.1007/978-3-031-28079-5_5 https://doi.org/10.1007/978-3-031-28079-5
Publication status	Published - 9 Apr 2023

Publication series

Name	SpringerBriefs in Petroleum Geoscience and Engineering
Publisher	Springer
ISSN (Print)	2509-3126
ISSN (Electronic)	2509-3134

Keywords

clustering
computational cost
constrained optimization
geological uncertainty
representative realizations
risk attitude
robust optimization

Access to Document

https://link.springer.com/book/10.1007/978-3-031-28079-5

Cite this

Yousefzadeh, R., Kazemi, A., Ahmadi, M., & Gholinezhad, J. (2023). Field development optimization under geological uncertainty. In Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization: Robust Optimization and History Matching (1st ed., pp. 93-113). (SpringerBriefs in Petroleum Geoscience and Engineering). Springer. https://doi.org/10.1007/978-3-031-28079-5_5, https://doi.org/10.1007/978-3-031-28079-5

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Yousefzadeh, R, Kazemi, A, Ahmadi, M & Gholinezhad, J 2023, Field development optimization under geological uncertainty. in Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization: Robust Optimization and History Matching. 1st edn, SpringerBriefs in Petroleum Geoscience and Engineering, Springer, pp. 93-113. https://doi.org/10.1007/978-3-031-28079-5_5, https://doi.org/10.1007/978-3-031-28079-5

Field development optimization under geological uncertainty. / Yousefzadeh, Reza; Kazemi, Alireza; Ahmadi, Mohammad et al.
Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization: Robust Optimization and History Matching. 1st. ed. Springer, 2023. p. 93-113 (SpringerBriefs in Petroleum Geoscience and Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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Yousefzadeh R, Kazemi A, Ahmadi M, Gholinezhad J. Field development optimization under geological uncertainty. In Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization: Robust Optimization and History Matching. 1st ed. Springer. 2023. p. 93-113. (SpringerBriefs in Petroleum Geoscience and Engineering). Epub 2023 Apr 8. doi: 10.1007/978-3-031-28079-5_5, 10.1007/978-3-031-28079-5