Computational Models for Closed-Loop Field Development Optimization

<a href="https://embed.stanford.edu/iframe/?url=https%3A%2F%2Fpurl.stanford.edu%2Ffv602sc3689" class="su-underline">Show Content</a>

Abstract/Contents

Abstract: This data set contains the reservoir simulation models used in closed-loop field development (CLFD) optimization paper.
Example_2_Models_CLFD.zip: contains realizations for Example 2 (60x60x1).
Example_3_Models_CLFD.zip: contains realizations for Example 3 (30x30x5).

Type of resource	software, multimedia
Date created	2015

Author	Shirangi, M. G.

Subject	Optimization
Subject	data assimilation
Subject	field development optimization
Subject	closed-loop field development
Subject	representative models
Subject	optimization under uncertainty
Subject	reservoir simulation
Subject	subsurface flow
Subject	decision making under uncertainty
Genre	Dataset

Related Publication	Shirangi, M. G., and Durlofsky, L. J. (2015). Closed-Loop Field Development Under Uncertainty by Use of Optimization With Sample Validation. Society of Petroleum Engineers. 20(05), 908-922. https://doi.org/10.2118/173219-PA
Location	https://purl.stanford.edu/fv602sc3689

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License: This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

Preferred Citation: Shirangi, M. G., & Durlofsky, L. J. (2015). Closed-loop field development under uncertainty by use of optimization with sample validation. SPE Journal, 20(05), 908-922.

Stanford Research Data

Loading usage metrics...