Session: ML for Seismic Domain I

Date and time: 20 March, 11:10 – 12:30

Location: Main Stage

Use the links below to evaluate the talks:

1. Deep learning strategies for seismic demultiple presented by M. Fernandez
Authors: M. Fernandez1,2, N. Ettrich1, M. Delescluse2, A. Rabaute3, J. Keuper1,4 (1 Fraunhofer ITWM; 2 Ecole Normale Supérieure de Paris; 3 Sorbonne Université; 4 Offenburg University)
2. MPI-free FWI for Cloud Spot Markets: Faster and Cheaper Results presented by C. Mavropoulos
Authors: C. Mavropoulos1, A. Umpleby1 (1 S-Cube)
3. Improving Reservoir Property Prediction Using Synthetic Data Catalog and Deep Neural Network in Poseidon field, Australia presented by P. Didenko
Authors: P. Didenko1 (1 GeoSoftware)
4. Exploring Convolutional Neural Networks and Machine Learning for Oil Sands Drill Core Image Analysis presented by H. Hamdi
Authors: F. Anzum1, H. Hamdi1, U. Alim1, M. Costa Sousa1 (1 University of Calgary)

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