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Technical Special Interest Communities

Artificial Intelligence

Technical Special Interest Communities

Artificial Intelligence

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.

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A.I. Activities

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


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 2021 – 2023 term.

NameCompany / InstitutionCountry
Ashley RussellEquinorNorway
Jan H. van de MortelIndependentNetherlands
John CedricImperial CollegeUnited Kingdom
Lukas Mosser Earth Science AnalyticsAustria
Oleg OvcharenkoNVIDIAUnited Arab Emirates
Paul Zwartjes AramcoNetherlands
Ruslan MiftakhovGeoplatUnited Kingdom
Surender ManralSchlumbergerNorway

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Siddharth Misra


Prof Dr Siddharth Misra’s research focuses on improving subsurface characterization and prospect evaluation for the exploration of hydrocarbons, minerals and water resources.

His major contribution is in the theory of electromagnetic responses of geological formations to various charge polarization phenomena. The theory has enabled him to introduce a multi-frequency electromagnetic log-inversion technique to remove dielectric effects for improved estimation of hydrocarbon pore volume.


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