AI Advancement in Well Construction

Tuesday, 13 January

1600 - 1730

Technical Session Room 2

Technical Session

Session Chairpersons

Matt Regan, VP Business Development - Exebenus

Ahmad Hussein, Drilling Global Innovation Manager - SLB Middle East

1600-1620 25184
Cognitive Drilling Ai: Transforming Activity Logs Into Actionable Insights

S. Syed Idrus, M. Abd Rahman, A. Zahid, AEM Energy Solutions; A. Ahmad Redzuan, S. Mat Isa, S. Mohd Effendi, M. Idris, PETRONAS Carigali Sdn Bhd; H. Parmar, M. Singh, S. Kiran BP, AUI Systems
1620-1640 25265
Bridging And Unlocking Insights From Drilling Data With Generative Ai

O. Al-Farisi, Dragon Oil; R. Singhal, Dragon Oil PLC.; Y. Ayvaz, Dragon Oil; I. Guenaga, Dragon Oil Limited; G. Assaf, SLB; Z.S. Al-Kindi, Schlumberger Trinidad Inc.; N. El Droubi, SLB Middle East; O. El Jundi, S. Hussain, SLB; M. Vijayan, Dragon Oil Holdings Ltd.
1640-1700 25157
Digital Transformation Of Tubular Running Services - AI & Automation Enable Enhanced Rig Floor Safety And De-manning During Offshore Operations

S. Spagnolo, C. Camillieri, V. Bruni, L. Pinto Vieira, ENI; A. Mahmood, Expro Americas LLC; D. Brown, L. Rochford, S. Walker, Expro North Sea Ltd; A. Artieri, Eni E&P; C. Camara Monteiro, ENI E&P (GIAC); D. MELIS,
1700-1720 25203
AI-based Prediction Of Rock Mechanical Properties Using Xrd, Xrf, And Gamma Ray Data

J. Davalos-Monteiro, C. Rodriguez Hernandez, R. Rached, A. Ghreizy, Sinopec Tech Middle East LLC; R. Davalos Monteiro, Yachay Tech University, School of Biological Sciences and Engineering; M.S. Osman, K. Ayranci, King Fahd University of Petroleum & Minerals
Alternate 25155
Transforming Drilling Textbooks Into Semantic Tools For Design Verification And Knowledge Extraction

J. Zhang, China University of Pertroleum, Beijing; B. Lin, China University Of Petroleum Beijing; X. Han, China National Offshore Oil Corp.; H. Meng, China University of Pertroleum, Beijing; Y. Wang, ; Y. Jin, China University of Petroleum Beijing
Alternate 25204
Machine Learning Based 1D Mechanical Earth Modeling And Wellbore Stability Analysis

P. Pramanik, A. Verma, A. Nair, S. Senapati, Telesto Energy Pte Ltd; B. Chennakrishnan, Makar CCUS Pte Ltd
Alternate 25242
A Pre-drilling Loss Risk Predication Method Based On Seismic Data And Machine Learning

Z. Nie, CNPC R&D (DIFC) Company Limited
Alternate 25171
Geospatially Tuned AI For ROP Optimization: A Context-aware Machine Learning Approach To Enhance Drilling Efficiency

S. Hussain, SLB

Event Programme

AI Advancement in Well Construction