Artificial Intelligence Applications in Petroleum Exploration and Production
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 33495
Special Issue Editors
Interests: application of AI in petroleum field development, CO2 EOR and geological storage
Interests: machine learning and big data in drilling and completion
Interests: application of AI/ML in reservoir characterization and simulation; optimization of injection and production strategy; CO2-EOR/EGR
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in computer and data sciences have made artificial intelligence techniques a useful tool in tackling the problems in petroleum exploration and production. Intelligent exploration and production has become a hot topic both in academia and oil and gas companies. This Special Issue aims to solicit recent progress and best practices in the application of artificial intelligence techniques in petroleum exploration and production.
The following are some of the topics proposed for the Special Issue (not an exhaustive list):
- Application of AI in geophysics;
- Intelligent well log interpretation;
- Machine learning and big data in drilling and completion;
- Application of AI in petroleum production engineering;
- Artificial intelligence in reservoir characterization;
- Artificial intelligence in reservoir simulation;
- Proxy modeling for history matching and production optimization;
- Best practices and experiences in intelligent oil field pilot project.
Dr. Hangyu Li
Dr. Xianzhi Song
Dr. Shuyang Liu
Guest Editors
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Keywords
- artificial intelligence techniques
- machine learning
- petroleum exploration
- petroleum production
- intelligent exploration and production
- drilling and completion
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