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 at all stages of their career.
Activities
- Local events and collaborations
- Contributions to EAGE events, such as the 3rd EAGE Digitalization Conference and the EAGE Annual 2023
- Periodic advice on A.I. topics for geosciences. (Click here to read the latest!)
- News, interviews and vacancies
Curious to know more about everything EAGE is doing around the digital transformation? In our Digitalization Hub you can find all EAGE opportunities for learning, sharing and connecting in one place.
Explore EAGE’s Digitalization Hub
Committee
The A.I. Community is coordinated by a Committee that serves for a period of two years. The current Committee is serving the 2021 – 2023 term.
| Name | Company / Institution | Country |
|---|---|---|
| Ashley Russell | Equinor | Norway |
| Jan H. van de Mortel | Independent | Netherlands |
| George Ghon | Capgemini | Norway |
| John Cedric | Imperial College | United Kingdom |
| Lukas Mosser | Earth Science Analytics | Austria |
| Oleg Ovcharenko | NVIDIA | United Arab Emirates |
| Nicole Grobys | Wintershall Dea | Germany |
| Paul Zwartjes | Aramco | Netherlands |
| Robert Ferguson | University of Calgary | Canada |
| Ruslan Miftakhov | Geoplat | United Kingdom |
| Surender Manral | Schlumberger | Norway |
Questions? Ideas?
