ML & AI for Production Optimization & Forecast
Tracks
Reservoir Engineering & Integrated Subsurface
| Thursday, June 13, 2024 |
| 8:30 AM - 11:30 AM |
| Dome 4 (Hall D) |
Speaker
Dr Paolo Dell'Aversana
Electromagnetic Methods Team Leader
Eni SpA
Oil production optimization based on Reinforcement Learning and Self-Aware Deep Neural Networks
8:30 AM - 8:50 AM
Dr Ajitabh Kumar
Founder & CEO
Visage Technology
Non-stationary and Multivariate Production Forecasting Using Koopman Neural Predictors
8:50 AM - 9:10 AM
Dr Ajitabh Kumar
Founder & CEO
Visage Technology
Vision Transformer Based Foundation Model for Oil Reservoir Forecasting
9:10 AM - 9:30 AM
Dr Lesley James
Professor
Memorial University Of Newfoundland
Production Optimization in A Water-Alternating-Gas (WAG) Process Using Smart Proxy Modeling
9:30 AM - 9:50 AM
Mr Dogyun Kim
Ph.D Candidate
Seoul National University
Simultaneous Optimization of Well Location and Drilling Sequence with a Deep Q-Network
10:10 AM - 10:30 AM
Mr Viacheslav Kim
MSc Student
Independent Speaker
A New Approach to Rapid Generation of PVT Black-Oil Model Using Machine Learning Techniques for Greenfields
10:30 AM - 10:50 AM
Dr Ali Shafiei
Assistant Professor
Nazarbayev University
Using a Gene Expression Programming Algorithm to Predict Asphaltene Adsorption Capacity of Silica Nanoparticles
10:50 AM - 11:10 AM
Mr Carlos Augusto Soares Ferreira
Ph.d. Student
Technical University Of Denmark
A Deep Learning Model for CO2 Storage in a Depleted Gas Reservoir using Sparse Well Data
11:10 AM - 11:30 AMChairperson
Arvi Cheryauka
Baker Hughes
