The EAGE Artificial Intelligence (A.I.) community is the network of members interested in sharing knowledge and developing skills among geoscientists and engineers exploring A.I. and machine learning solutions, as well as data scientists working on techniques that can be applied to the fields of geoscience and engineers. This community is open to members in all stages of their career.
A.I. Activities
- Local events and collaborations
- Contributions to EAGE events and events on the topic
- Weekly advice on A.I. topics for geosciences
- News and vacancies
A.I. Committee
The A.I. community is coordinated by a Committee that serves for a period of two years. The current Committee is serving the 2019 – 2021 term.
| Name | Company / Institution | Country |
|---|---|---|
| Claire Emma Birnie | KAUST | Saudi Arabia |
| Jan H. van de Mortel | Independent | Netherlands |
| Lukas Mosser | Imperial College | United Kingdom |
| Olivier Dubrule | Imperial College | United Kingdom |
| Paul Zwartjes | Aramco | Netherlands |
| Steve Freeman | Schlumberger | United Kingdom |
| Tianci Cui | Enverus | Canada |
Questions? Ideas?
