Second EAGE Machine Learning Workshop
Machine learning algorithms and techniques have now been applied in almost every area of geoscience with varied results. It is now incumbent for us to examine the two key issues of quality and value in these applications. What are the issues in validating these results? What ROI has machine learning demonstrated? What are the game changing applications and developments? How can expert knowledge be integrated into these solutions?
The workshop will focus on applications of machine learning and artificial intelligence within the domains of geoscience and engineering. Specialists from academia and leading companies will come together to exchange insights on the latest developments and new technologies in machine learning.
We encourage contributions on a wide range of topics related to exploration and production challenges in hydrocarbons, minerals and geothermal industries and will seek to emphasize how the relationship between data science and the underlying domain sciences can bring value to practitioners in these industries. We encourage participants to share their challenges, successes/failures and visions for the future by submitting papers with a focus on technical innovation and/or business impact.
I was blown away by the quality, depth and sophistication of the papers that were received by the organising committee – one day was not enough to do them justice! The first event had been a long time in planning and there was much built-up anticipation. Now the dust has settled and the industry has engaged with AI and ML more fully, it will be great to see how it is becoming normalised into the subsurface domain.
Duncan Irving - O&G Consulting Principal - TietoEVRYAs digital transformation continues to redefine E&P, growth is highly dependent on the introduction and adoption of new technologies such as AI. EAGE's inaugural Machine Learning workshop provided a great insight into research around innovative and disruptive technologies to increase efficiencies and share knowledge across the sector. As 2020 promises to be a year of growth, investment and delivery, I’m looking forward attending the next event and contributing to the technical program.
James Lowell - R&D Director - Geoteric
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The EAGE Special Interest Community on Artificial Intelligence (A.I.) facilitates connections and knowledge exchange among those working or interested in the digital transformation for geoscience and engineering fields.