Computational models for a massive computational experiment published in JCP
Abstract/Contents
- Abstract
This repository contains computational data/models utilized to conduct the massive computational experiment reported in the following paper:
Shirangi, Mehrdad G. (2019) Closed-loop field development with multipoint geostatistics and statistical performance assessment, Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2019.04.003The data description is as follows.
- 25_truth_models: contains the folders for 25 truth-case models
- ADGPES_simulation_job: contains input files to run a simulation using ADGPRS
these data include fluid properties, porosity, relative permeability curves, etc, which are the same for all realizations.
- reals_unc: contains 1100 unconditional realizations generated from the Training Image using the MSCCSIM algorithm.
- training_image: the file containing the training image used to generate all realizations.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | January 2016 - May 2018 |
Creators/Contributors
| Author | Stanford University |
|---|
Subjects
| Subject | Reservoir optimization |
|---|---|
| Subject | Closed-loop optimization |
| Subject | massive computational experiment |
| Subject | closed-loop field development |
| Subject | geostatistics |
| Subject | multipoint geostatistics |
| Subject | principal component analysis |
| Genre | Dataset |
Bibliographic information
| Related Publication | Shirangi, Mehrdad G. (2019) Closed-loop field development with multipoint geostatistics and statistical performance assessment, Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2019.04.003 |
|---|---|
| Location | https://purl.stanford.edu/nn001cr1881 |
Access conditions
- 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 Non Commercial 3.0 Unported license (CC BY-NC).
Preferred citation
- Preferred Citation
- Shirangi, M. G. (2018) Closed-loop field development with multipoint geostatistics and statistical performance assessment. Stanford Digital Repository. Available at https://purl.stanford.edu/nn001cr1881
Collection
Stanford Research Data
View other items in this collection in SearchWorksContact information
- Contact
- mehr@stanford.edu
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