Data-Driven Risk Detection and Reliability Engineering

Tuesday, 29 September

1500 - 1630

Room 1

Technical Session

Session Chairpersons

Hany Gamal - Weatherford Saudi Arabia

Javier Torres - Halliburton

1500-1530 232093
Development of a Non-Dimensional Nomograph Using Hydrophone-based Acoustics to Predict Subsea Two-phase and Three-phase Pipeline Leak Plume Behavior

A. Mohamed, M. Rahman, Hamad Bin Khalifa University; H. Ferroudji, Boumerdes University; I.G. Hassan, Texas A&M University Qatar; A. Sleiti, Qatar University; S. Rezaei Gomari, Teesside University; M. Hamilton, Memorial University of Newfoundland; A. Khandakar, Qatar University
1530-1600 232167
PetroGuard: An End-to-End Large Vision Model for Full-chain Safety Risk Recognition in Oil and Gas Production

Y. Wang, G. Lin, C. Wang, H. Liu, S. Liu, W. Yang, Petrochina (Beijing) Digital Intelligence Research Institute Co., Ltd
1600-1630 232838
AI-Driven Calibration Procedure Generation for Field Instruments Using Historical Logs

S. Tharayil, R. Khalil, S. Maan, N. Almaghlouth, S. Alquaimi, Saudi Aramco
Alternate 231943
Improving Oil Well Production Forecasting Accuracy using Autoformer Network: The Role of Engineering Operation Features in Dynamic Production Systems

S. Liu, Sinopec Petroleum Exploration and Production Research Institute
Alternate 232306
Innovative AIML Approaches for Autonomous Pressure-point Detection During Formation Evaluation & Pressure-transient Analysis

A. Bhattacharjee, G. Rajvanshi, A. KUMAR, N. SINGH, Rajiv Gandhi Institute of Petroleum Techhnology
Alternate 232201
From Prompt to Plot: An MCP Framework for LLM-Driven Engineering Automation

C. Chen, M. Tang, S. He, T. Luo, Southwest Petroleum University

Conference Programme 2026

Data-Driven Risk Detection and Reliability Engineering