EAGE - DIGITALIZATION HUB

EAGE DIGITALIZATION HUB

All the EAGE opportunities for learning, sharing and connecting in one place.

Start your digital transformation journey here

WELCOME TO EAGE’s DIGITALIZATION HUB

Artificial intelligence and machine learning have developed at an incredible pace in the recent years. With this came new algorithms, workflows, paradigm shifts, challenges and best practices.

To help you stay on top of it all, we created this dedicated page to connect you with the many multidisciplinary initiatives channelled by the Association.

You are just one click away from all the opportunities that you can engage with!

High Performance Computing will be under the spotlight at EAGE workshop in Lugano

High-Performance-Computing plays a leading role in our current energy business and will be of critical importance for a successful energy transition. Looking across multiple industries, our business undoubtedly exploits the largest High-Performance-Computing capacity.

The Seventh EAGE High Performance Computing Workshop will dive deep into the challenges of seeking higher productivity, lowering costs and reducing risk.

Highlights

Hackathon at the EAGE Annual Congratulations to Team GeoExplorers and Team Abstracters for winning the hackathon! Amazing projects that showed how relevant AI can be for geoscience. See you all next year in Oslo!

First Break Special Topic Articles for the next Special Issue of First Break on Digitalization / Machine Learning are welcome. Read more on firstbreak.org

Update Your Affiliations

Interested in being part of the EAGE Technical Community on AI? Take a few minutes to update your affiliations to EAGE Circles, Special Interest Communities, Local Chapters and more!

Discover the workshop

Digitally Enabled Geoscience Workflows

This joint Special Issue aims to present the state of the art in data science applications (automation, data analytics, ML and processing of extremely large dataset) for geoscience to solve subsurface problems across various disciplines.

Submit your paper before 31 October 2023

Support available for EAGE members

Facing a professional transition? Check the eligibility criteria and apply to continue enjoying your membership benefits, access career developing opportunities and pursue training goals.

Advice by the EAGE A.I. Committee

Our A.I. Committee shares periodical news and advice to help you keep up with the pace of the digital transformation.

Read their latest newsletter

Interview with the EAGE A.I. Committee

How do we prepare our Geoscientists for the adoption of AI? What is the easiest way to get started with AI? The answers to these and other questions are now available in the third and last part of our interview.

Read Part 3 of the interview

Seventh EAGE High Performance Computing Workshop

25-27 September 2023 | Lugano, Switzerland

To the event

EAGE Workshop on Data Science - From Fundamentals to Opportunities

17-18 October 2023 | Kuala Lumpur, Malaysia

4th EAGE Digitalization Conference & Exhibition

25-27 March 2024 | Paris, France

Go Digital

Events

Throughout the year, EAGE organizes multiple workshops and conferences for members to engage in, both online as well as in person, to share and discuss the latest developments in the digital world.

SUPPORT AVAILABLE FOR EAGE MEMBERS

EAGE members presenting a paper can apply for support at selected event and always benefit from special registration rates. Learn about all the benefits and secure your membership to get the best deals.

Would like to attend but you are currently between jobs? Through the Hardship Economic Programme, the Association also assists long term members who are unemployed to benefit from EAGE events and education opportunities.

Resources

Machine Learning in Geosciences

by Gerard Schuster

Interactive Online Short Course | 9-10 August 2023

Go to course

Data Science Courses

by EAGE

A dedicated category of courses on key topics and applications of digitalization for geoscience and engineering.

Browse catalogue

Data Science for Geoscience

by Jef Caers

Extensive Online Course | 11 April – 11 May 2023

Developing Deep Learning Applications for the Oilfield

by Bernard Montaron

Extensive Online Course | 17 January – 17 February 2023

Our Road So Far

October 2023

March 2023

December 2022

October 2022

September 2022

May 2022

Captura de pantalla 2022-11-25 a la(s) 5.59.03 p.m.

March 2022

October 2021

August 2021

May 2021

March 2021

North European Research presented at KEGS Symposium

February 2021

November 2020

October 2020

September 2020

September 2020

December 2019

November 2018

October 2017

EAGE Workshop on Data Science

Third EAGE Digitalization Conference and Exhibition

2nd EAGE/SEG Workshop on Geophysical Aspects of Smart Cities

Second EAGE Subsurface Intelligence Workshop

EAGE Workshop on Innovative Reservoir Modeling into Digital Proliferation

Sixth EAGE High Performance Computing Workshop

EAGE Conference on Digital Innovation for a Sustainable Future

Third EAGE Workshop on HPC in Americas

Second EAGE Digitalization Conference and Exhibition

EAGE Conference on Seismic Interpretation using AI Methods – Going Beyond Machine Learning

Data Science in Oil and Gas 2021

Digital Subsurface Conference in Latin America

Second EAGE Workshop on Machine Learning

First EAGE Workshop on Optimizing Project Turnaround Performance

First EAGE Digitalization Conference and Exhibition

Data Science in Oil and Gas

EAGE/AAPG Digital Subsurface for Asia Pacific Conference

First EAGE Conference on Machine Learning in Americas

EAGE Subsurface Intelligence Workshop

First EAGE/PESGB Workshop Machine Learning

Third EAGE Workshop on High Performance Computing for Upstream

Communities

Communities are at the heart of the association: they help build new connections, provide valuable input on future developments and support members’ professional growth – from students to senior professionals. Make sure to connect with technical communities and Local Chapters in your area.

EAGE A.I. COMMUNITY

The EAGE A.I. community is the network of members interested in sharing knowledge and developing skills on Artificial Intelligence and machine learning for geosciences. Join to continue the conversation, participate in discussions and find opportunities to help you advance in your career.