Session: Machine Learning for Subsurface Applications

Date and time: 22 March, 14:30 – 00:00

Location: Innovation Hub

Use the links below to evaluate the talks:

1. Flowify: simple and non-technical user interface for workflows managements with reusable components presented by O. Nilsson
Authors: O. Nilsson1,2, L.P. Turchan2, A. Cheng1 (1 Equinor ASA; 2 Bluware Inc)
2. Give Geological Context to Seismic Attributes Through Artificial Intelligence, Using Neural Style Transfer presented by R. Perez
Authors: R. Perez1 (1 Independent Consultant)
3. A Geophysics Library of Trained Machine Learning Models presented by A. Huck
Authors: A. Huck1, P. De Groot1, H. Refayee2 (1 dGB Earth Sciences; 2 de Groot-Bril Earth Sciences LLC)

Speakers share their expertise and insight during the EAGE Digital 2023 programme. Would you help them by answering a few questions about their talks? Best evaluated talks can receive an increased exposure and recognition through the below:

  • be invited to submit a paper for one of EAGE’s journals
  • be invited to participate in the Distinguished Lecturer programme
  • be invited to record an a-lecture
  • be part of a ‘Best of’ exchange with another event or association
  • be invited to become EAGE’s instructor

Message will be send to corporate relations

Message will be send to exhibition

Message will be send to registration

Message will be send to europe

Message will be send to abstracts