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EAGE Education Tour 12: Challenges and Solutions in Stochastic Reservoir Modelling – Geostatistics, Machine Learning, Uncertainty Prediction- Registration Open

Registration is now open for the EAGE Education Tour 12: Challenges and Solutions in Stochastic Reservoir Modelling – Geostatistics, Machine Learning, Uncertainty Prediction, by Dr. Vasily Demyanov.

This EET in Lisbon is hosted by Instituto Superior Técnico (University of Lisbon) and CERENA, 30 November 2018.

Register Now for EET12 by Dr. Vasily Demyanov! EAGE in collaboration with University of Lisbon (Instituto Superior Técnico) and CERENA invites you to register for the flagship of EAGE Educational programmes – the 1-day course on “Challenges and Solutions in Stochastic Reservoir Modelling – Geostatistics, Machine Learning, Uncertainty Prediction”! The 12th edition of our Education Tours will be presented in Lisbon, Portugal on the 30th of Nov 2018 by Dr. Vasily Demyanov (Heriot-Watt University, Scotland). Register at the attractive price here! 

Detailed information of the course can be found here

Registration page: https://events.eage.org/en/2018/eet-12-2018-lisbon/registration

Vasily Demyanov

Dr Vasily Demyanov is an Associate professor at Heriot-Watt University (Edinburgh). He lectures geostatistics and leads research in machine learning and uncertainty quantification in reservoir modelling. He has over 20 years of experience in geostatistics and has published over 100 publications. Vasily is a co-author of the books: Geostatistics: Theory and Practice (Nauka, 2010, in Russian) and Advanced Mapping of Environmental Data — Geostatistics, Machine Learning and Bayesian Maximum Entropy (Wiley, 2008). Vasily Demyanov is an Associate editor for Computers and Geosciences Elsevier journal. Vasily has delivered short courses at EAGE Education Days and has organised a number of workshops on spatial statistics and reservoir modelling.

Vasily Demyanov has obtained his first degree in physics from Moscow State University (1994) and a PhD in physics and mathematics from Russian Academy of Sciences (1998) with a thesis on radioactive pollution modelling with geostatistics and artificial neural networks. Prior to joining Heriot-Watt in 2003 he worked with the University of St. Andrews (2000-2002) and Nuclear Safety Institute, Moscow (1994-2000).

 

Date: 30 November 2018

Venue: CERENA / Instituto Superior Técnico in Lisbon, Room V1.02 (Civil Building)

Course: 1-day Course

Schedule: 08.30 – 17.00

Registration open until: 30 November 2018

 

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