ML & AI for Production Optimisation & Forecast-1
Tracks
Petroleum and Reservoir Engineering
| Thursday, June 11, 2026 |
| 8:30 AM - 11:30 AM |
Speaker
Mr Yiqing Hou
China University Of Petroleum(Beijing)
Intelligent fluid identification method of shale oil NMR spectrum based on attention-enhanced convolutional neural network
Mr Oleh Yurchyshyn
Research and Design Institute of JSC «Ukrnafta»
From Subsurface Archives to Field Decisions: A Tool-Orchestrated Agentic Workflow for Traceable Hydraulic Fracturing Candidate Ranking
Mr Woosung Jo
PhD candidate
Seoul National University
Well Placement Optimization under Geological Uncertainty using Deep Reinforcement Learning
Mr Artem Egorov
Heriot-Watt University
Machine Learning Well Test Regimes Classifier based on Synthetic Analytical Models
Mr Jian Yang
Southwest Petroleum University
A Novel Method for Remaining Oil Identification Based on Deep Learning Networks
Dr Marko Maucec
Saudi Aramco
Knowledge Graph-based Petroleum Engineering Ontological Framework for Well Performance Assessment
Mr Oscar Vazquez
Research Fellow
Heriot-Watt University
Optimization of Oilfield-Scale-Inhibitor Squeeze Treatments: Data-driven versus Conventional Approaches
Mr Marcos Jacinto
Data Geoscientist / Post Graduate
Geowellex
AI-Assisted P&A Operation: A Multi-Agent Platform to Support the Planning and Execution of Permanent Well Abandonment
