Knowledge Sharing ePoster - Station 3 - Wednesday, 30 September 2026

Wednesday, 30 September

0930 - 1630

Knowledge Sharing ePoster Station 3

Poster

Knowledge Sharing Technical Conference ePosters allow one-on-one interactions with presenters and opportunities to study a particular concept at an appropriate level of detail. Subject matter varies, but topics are consistent with the other technical sessions.

0930-0945 232079
Artificial Intelligence-based Failure Prediction Model For Sucker Rod Pump Systems Using Dynamometer Card Analysis.

K. Raslan, H. Elnaggar, Badr Petroleum company; I. Owusu, Ghana National Gas Company; M. Aboushanab, Khalifa University; M. Sobhey, Khalda Petroleum Co.
0945-1000 232757
Paradigm Shift Toward an Interpretable and User-Friendly Machine-Learning-Driven Fines Migration Prediction and Control Tool (FIMPACT): Implications for Enhanced Oil Recovery and Co₂ Storage

B. Amoyaw, A. Adni, United Arab Emirates University; M. Ayoub Mohammed, Universiti Teknologi PETRONAS
1130-1145 232106
Rethinking Mud Cap Overbalance: Real-time Annular Pressure Insights for Smart Drilling Operations

M. AlGaiar, M. Farahat, A. Baghdadi, Baker Hughes
1145-1200 232161
Lean Operation Model for Achieving Maximum Energy and Minimum Waste in Sustained Production Growth Desert Oil Field: Evaluation, Execution, and Excellence

L. Wang, H. Wang, L. Yuan, R. Deng, Zhenhua Oil Co Ltd; S. Wei, Chengdu North Petroleum Exploration and Development Technology Co; X. Liu, Zhenhua Oil Co Ltd
1200-1215 232025
Advanced Thixotropic Cement Slurry for Effective Zonal Isolation: A Case Study from Iraq

M.S. Chaab, L. Otaremwa, S. Pallapothu, M. Bogaerts, F.A. Al Hosni, M. Al-Anbki, M. Al Musaedi, F. Allaithi, M. Hamash, F. Mohammed, SLB
1215-1230 232070
Real-Time Downhole Annular Pressure Diagnostics for Ballooning Differentiation and Well Integrity Assurance in Fractured Carbonates

M. AlGaiar, M. Farahat, A. Baghdadi, Baker Hughes Co. Saudi Arabia
1600-1615 232762
Correcting the Lens and Purifying the Image: A Deep Learning Approach to Optical Distortion Correction and Image Denoising in Oil and Gas Computer Vision Applications

M. Alghamdi, A. Barsheed, F. Alyousef, Saudi Aramco
1615-1630 232034
Machine Learning Application for Reciprocating Compressor Performance Prediction Under Varying Suction Pressures: A Case Study on Gas Pipeline Pump-back Operations

T. Ismail, UNIVERSITY OF WYOMING; E. Amer, PETROGISTIX; M. Elhusseiny, ADNOC Onshore

Conference Programme 2026

Knowledge Sharing ePoster - Station 3 - Wednesday, 30 September 2026