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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)
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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

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