Academic courses
Reservoir Modelling and Management, D. Arnold & V. Demyanov, graduate course part of Heriot-Watt MSc programme Reservoir Evaluation and Management (REM)
Machine learning in geoscience applications, M. Kanevski & V. Demyanov, a post graduate Centre for Doctoral Training course, 2018, 2019.
Externally delivered courses (CPDs)
- Challenges and Solutions in Stochastic Reservoir Modelling – Geostatistics, Machine Learning, Uncertainty Prediction, V. Demyanov
EAGE Educational Tour Course - Introduction and basic principles of stochastic reservoir modelling (CPD).
- Uncertainty quantification for reservoir predictions. (CPD)
- Machine learning applications in reservoir modelling. (CPD)
Workshops and short courses
Machine Learning for Geoscience Modelling – Introduction and Advanced Case studies
Mikhail Kanevski and Vasily Demyanov: IAMG 2018, IAMG 2019
Reservoir Computing by Neural Networks,
V. Demyanov (HWU) and A. Moqbel (Saudi Aramco), EAGE 2019 Conference Workshop, London
Spatial analysis and applications in geological, mining and environmental problems,
Mikhail Kanevski and Vasily Demyanov with, Barbara Namysłowska-Wilczyńska, Wrotslav 2018
Advanced Geoscience Organized for Reservoir Applications (AGORA), a EAGE/Europec workshop series
John Owens, Olivier Gosselin, Thierry Coleou, Michael A. Christie, Daniel Arnold, Taoufik Manai, Cecilie Otterlei, Richard Pelling, Peter Robert King