Knowledge Sharing ePoster - Station 2 - Wednesday, 30 September 2026

Wednesday, 30 September

0930 - 1630

Knowledge Sharing ePoster Station 2

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 232078
Development And Application Of Anti-corrosion Cement Slurry System For High Sulfur Gas Reservoirs In The Northeastern Sichuan Basin

C. Wang, CNPC Chuanqing Drilling Engineering Company Ltd; Y. Haibing, CNPC Chuanqing Drilling Engineering Company Limite; Z. Peng, College of Chemistry and Chemical Engineering, Sou Southwest Petroleum Universit; Y. Zheng, X. Li, Southwest Petroleum University
0945-1000 232768
Optimized Sidetracking With One-run Rss From Kick-off Plug In Vertical Exploratory Pilot Hole

N. Franco, SLB; M.A. Khattak, SLB Middle East; R. Karachurin, SLB
1130-1145 231974
Innovative Lost Circulation Spacer Solutions: Enhancing Cement Efficiency And Well Integrity

M. Hussin, SLB; S.J. Al Menhali, L. Valencerina, ADNOC Onshore; M.A. Khattak, SLB Middle East; M. Bogaerts, A. Ramadan, M. Sajid, R. Karachurin, SLB
1145-1200 232021
Optimizing Well Placementin the Miqrat Formation Using Integrated Geosteering Techniques

I. Al Rahbi, Shell Development Oman LLC; M.H. Al Ghammari, Shell Development Oman; E. Alnadabi, ROGII; E. Sampson, D. Krott, ROGII Inc
1200-1215 232202
Lateral Tectonic Strain Anisotropy in Salt Domes from Microfrac In-situ Stress Testing

J.A. Franquet, P. Chakrabarti, S. Sen, Baker Hughes; M. Singh, M. Al Blooshi, A. Abdel Aal, M. BinSaad, B. Abu Snaineh, N. Arif, ADNOC Onshore
1215-1230 232205
Methodology to Coupled 1D-3D-4D Geomechanics Modeling and Numerical Analysis for Fault Critical Re-active Stress Evaluation

Y. Zhou, Chongqing University; Y. Luo, L. Zhang, J. Yao, M. Ouyang, Y. Zhao, PetroChina; X. Huang, CK Energy Technology Co
1600-1615 232282
Pore Pressure Prediction from Conventional Well Logging Data Using Machine Learning Algorithms

A. Abbas, University of Misan; M. Alsaba, Australian College of Kuwait
1615-1630 232303
AI-based Fault Diagnosis for Subsurface Rod Pumps in India's Largest Onshore Field: An Alternative to Manual Card Interpretation

K. Chanchlani, M. Shah, Pandit Deendayal Energy University

Conference Programme 2026

Knowledge Sharing ePoster - Station 2 - Wednesday, 30 September 2026