16 Innovation and Digital Transformation: AI-Driven Digital Solutions for Intelligent Energy Operations

1030-1050 232516

Physics-guided Machine Learning For Reconstructing Lithium Concentrations From Produced-water Chemistry

M. Alyousef, S. Alshammari, Saudi Aramco

1050-1110 232479

A Data‑Driven End‑to‑End Inspection Tool Using Digital Twins

B. Dridi, Bureau Veritas

1110-1130 232403

Data-driven Modeling For Setting ProductionTargets: A Case Study On 60 Wells Using Machine Learning

J. Mahdavi Kalatehno, E. Khamehchi, F. Yousefmarzi, G. Dalvand, Amirkabir University of Technology (Tehran Polytechnic); A. Kazemi, Sultan Qaboos University; H. Sangbor, Amirkabir University of Technology (Tehran Polytechnic)

Alternate 232422

Increasing Operational Efficiency In Micro-fracking Decisions Through Automated Breakout Detection From Ultrasonic Borehole Images; A Machine Learning Based Approach

L. El Kaissi, Qatar University; I. Stepanov, R. Goswami, M.H. Nassar, SLB

Alternate 232501

Application Of Multi Agent Digital Twin Model Using NSGA II For Optimised Oil Production Under Sand Control Costraints.

A.E. Cosmas, DAR ES SALAAM MARITIME INSTITUTE

Alternate 232365

Federated Learning: Unlocking Collaborative Machine Learning In Oman’S Oil & Gas Sector Without Sharing Sensitive Data

S. Alkaabi, N.K. AL Husaini, Petroleum Development Oman