6 Machine Learning for Subsurface Applications

Monday, 3 October

0830 - 0945

362 D-F

Technical Session

Advances in deep learning, natural language processing, image processing for reservoir characterization.

Session Chairperson(s)

0830-0855 210461
Multiscale Carbonate Rock Reconstruction Using AHybrid WGAN-GP And Super-Resolution

Z. Zhang, Y. Li, King Abdullah University of Science and Technology; M.M. Alsinan, Saudi Aramco PE&D; X. He, King Abdullah University of Science and Technology; H.T. Kwak, Saudi Aramco PE&D; H. Hoteit, King Abdullah University of Science & Tech
0855-0920 210133
Geological Neural Network Methodology For Automatic History Match; Real Case For Rubiales Field

R. Rodriguez Torrado, OriGen AI Inc; A. Pumar-Jimenez, P. Ruiz-Mataran, M. Sarabian, J. Togelius, OriGen AI, Inc; L. Toro Agudelo, A. Rueda Lizarazo, E. Gallardo, A. Naranjo, S. Arango, J. Villasmil, Ecopetrol SA
0920-0945 209961
Application Of Natural Language Techniques In Reservoir Management Framework

S. Vimercati, E. Vignati, P. Mariotti, S. Severino, L. Raimondi, Eni SpA; C. Onzaca, Eni S.p.A

2022 Technical Program