AI and ML for Reservoir Characterisation and Modelling

Monday, 2 June

1300 - 1430

Al Ghaf 3&4

Technical Sessions

Session Chairpersons

1300-1320 225293
3D Non-matrix Vugular Property Distribution Using A Geologically High-resolution Machine Learning (GHREM) Workflow in A Carbonate Reservoir

A.D. Zeiza, Saudi Aramco; A. Mansor, Saudi Aramco Exploration; S. Almeshari, Saudi Aramco; P. Tarabbia, Saudi Aramco Exploration; M.H. Alnazghah, Saudi Aramco
1320-1340 225328
AI-Powered Assisted History Matching Focused on Vertical Communication in A Heterogeneous Giant Carbonate Reservoir with 16 Subzones, Offshore Abu Dhabi

Y. Inokuma, H. Montani, S. Yamashita, ADNOC Offshore; I. Kondo, H. Kai, S. Kurokawa, INPEX Corporation; M. Tange, ADNOC Offshore
1340-1400 225339
Advancing Reservoir Characterization with Machine Learning: A Multi-well Predictive Analysis

R. Kalule, J. Iskandarov, E.W. Al-Shalabi, H. Abderrahmane, R. Farmanov, S. Markovic, Khalifa University; O. Al-Farisi, M. Gibrata, Dragon Oil PLC.
1400-1420 225306
Augmented Reservoir Characterization Technology for The Stochastic Estimation of Rock Properties

T. St. George Ramsay, Abu Dhabi National Oil Company; R. Sabzi, Bluware a CMG company; S. Al Naqbi, ADNOC Onshore; A. Bawolek, Bluware a CMG company; A.B. Salahuddin, ADNOC Onshore; E. Holtar, H. Fouladi, A. Latif, Bluware a CMG company
Alternate 225358
An AI-based Model for Optimizing Pressure, ºAPI, and GOR in Multistage Separator Trains

M. Ali, R. Kalule, Khalifa University of Science and Technology; O. Shaaban, Kuwait University; E. Al-Shalabi, A. Fathy, Khalifa University of Science and Technology

Technical Programme