Technical Session 20: Digital and Data - AI and Machine Learning II

Thursday, 29 February

0900 - 1030

Room 403-404, Level 4

Technical Session

Chairperson

0920-0940 34782
Delving Into Artificial Intelligence World: Pioneering Machine Learning Platforms To Predict Reservoir Properties

J. Mohd Shah, N. Mohamad Zulkifli, H. Harris Lee, PETRONAS Carigali Sdn. Bhd.; M. B M Fadhil, PETRONAS
0940-1000 34819
Optimisation Of Well Location For Water Gas Alternating Flooding In Deepwater Carbonate Reservoirs Based On Artificial Intelligence

Z. Yang, Research Institute of Petroleum Exploration & Development, Beijing
1000-1020 34872
Application Of Machine Learning In Predicting Cement Properties

A. Shamsan, Halliburton Australia; w.c. jimenez, Halliburton; S. Jandhyala, Halliburton Energy Services Group
Alternate 34887
Improving Nmr-based Microporosity Predictions In Complex Carbonate Reservoirs Through Integrated Unsupervised And Supervised Machine Learning Techniques

Z. Tariq, B. Yan, King Abdullah U. of Science and Technology; M. Mahmoud, King Fahd U. of Petroleum and Minerals
Alternate 34844
Physics Informed Neural Network Model For Downhole Gauge Record Prediction In Deep Water Gas Field

H. Zheng, B. Lin, J. Jiang, China U. of Petroleum, Beijing
Alternate 34862
New Generation Nuclear Magnetic Resonance T1-T2 Logging And T2-D Mapping Derived Formation Evaluation In Jurassic Condensate Reservoirs Of China

Y. Wang, SLB
Alternate 34778
Automated Machine Learning To Predict Lithology Based On Seismic Data

K. Qaedi, S.M. Barker, A. Simanjuntak, JX Nippon Oil & Gas Exploration (Malaysia)

Technical Programme