Decision support methods and applications in the upstream oil and gas sector
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Judgment Elicitation Process for Multi-Criteria Decision-Making in Oil and Gas Industry
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Applying Life Cycle Assessment to Evaluate the Sustainability of Completion Fluids
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Monobores Improve Life-Cycle Cost
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Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future
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- Authors
- Shafiee, M., Animah, I., Alkali, B., & Baglee, D.
- Affiliations
- Cranfield University (GB)
- Glasgow Caledonian University (GB)
- University of Sunderland (GB)
- Corresponding author
- Shafiee, Mahmood
- Venue
- Journal of Petroleum Science and Engineering
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 173
- Pages
- 1173-1186
- ISSN
- 0920-4105 (ISSN-L)
- OpenAlex
- W2896050489
- Cited by
- 74
- References
- 142
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 12 · 2023: 9 · 2022: 15 · 2021: 12 · 2020: 6 · 2019: 6
- FWCI
- 4.79
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Journal of Petroleum Science and Engineering (publishedVersion)
- ResearchOnline (Glasgow Caledonian University) (acceptedVersion, cc-by-nc-nd)
- ResearchOnline (acceptedVersion, cc-by-nc-nd)
- Sunderland Repository (University of Sunderland) (acceptedVersion)
- Kent Academic Repository (University of Kent) (submittedVersion)
- CERES (Cranfield University) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
- Social Sciences › Economics, Econometrics and Finance › Finance › Capital Investment and Risk Analysis
- Keywords
- decision support system, upstream oil and gas, petroleum exploration, oil and gas development, oil and gas production, decision procedures, classification framework
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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