1. [13:45-14:05] Carbonates Thin Section Segmentation based on a Synthetic Data Training Approach presented by A. Ransinangue (TotalEnergies) Authors: A. Ransinangue2, R. Labourdette1, E. Houzay1, N. Chehata2, R. Bourillot2, S. Guillon1, E. Dujoncquoy1 (1 TotalEnergies; 2 UMR CNRS 5805 EPOC – OASU) |
2. [14:05-14:25] Pore-scale petroleum migration analysis with machine learning presented by I. Kumar (Indian Institute Of Technology Guwahati) Authors: I. Kumar1, B.K. Tripathi1, A. Singh1 (1 Indian Institute of Technology Guwahati) |
3. [14:25-14:45] Application of Deep Learning for Facies Classification in High-Definition Images of Brazilian Pre-Salt Cores presented by J. Silva (Petrec) Authors: J. Silva1, L. Landau2, L. Medeiros1, A. Vidal1, A. Souza1, G. Pinto1, M. Martins1 (1 PETREC – Petroleum Research and Technology; 2 COPPE – Federal University of Rio de Janeiro) |
4. [14:45-15:05] Pore-plugging prediction of formation damage during fine migration using machine learning presented by S. Sadeghnejad (Universität Jena, Institut für Geowissenschaften) Authors: A. Seydi2, S. Sadeghnejad1,2, F. Enzmann3, T. Schäfer1, D. Khoozan2, R.I. Al-Raoush4, M. Kersten3 (1 Institute for Geosciences – Friedrich-Schiller-University Jena; 2 Tarbiat Modares University; 3 Geosciences Institute – Johannes Gutenberg University Mainz; 4 Qatar University) |
5. [15:05-15:25] Application of Artificial Intelligence and Machine Learning in Petrophysical Interpretation and Rock-Typing studies presented by M.T. Nguyen (Beicip Franlab) Authors: M.T. Nguyen1, B. VALSARDIEU1, L. DRAB1, V. MACHAULT1 (1 Beicip Franlab) |