A Neuro-Fuzzy Approach to Screening Reservoir Candidates for EOR
- Submitting institution
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University of Aberdeen
- Unit of assessment
- 12 - Engineering
- Output identifier
- 102289923
- Type
- D - Journal article
- DOI
-
-
- Title of journal
- Advances in Petroleum Exploration and Development
- Article number
- -
- First page
- 1
- Volume
- 12
- Issue
- 1
- ISSN
- 1925-542X
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2016
- URL
-
http://www.cscanada.net/index.php/aped/article/view/8743
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Outcome of cross-disciplinary work combining artificial intelligence and physical processes associated with enhanced oil recovery (EOR). Collaboration between Aberdeen University petroleum research team and IPC Petroleum Consultants, Inc. Oklahoma USA. The findings reported in the paper have already been used in EOR screening project involving four oil blocks of Sonangol, Angola (contact: Bruno Elias, Director Corporate Education Academia Sonangol Angola) and Oredo field, Niger Delta, Nigeria (contact: Ismaila Mohammed, Executive Director Asset Management NPDC Nigeria).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -