14 – 17 February

GRID, Heriot-Watt University, Edinburgh

Be aware that all times are in UK/GMT time.

Time Geoscience Day
Monday Feb 14th
Data Science Day
Tuesday, Feb 15th
Application Day
Wednesday Feb 16th
9:30Registration and Tea & CoffeeRegistration and Tea & CoffeeRegistration and Tea & Coffee
10:00Welcome from Vasily DemyanovWelcome from Vasily DemyanovWelcome from Vasily Demyanov
10:11Lessons from historical data exploration in a long-lived consolidated mineral belt
by Joao Gabriel Mottas,
University of Exeter
Graph discovery and Bayesian filtering in state-space models for temporal data
by Victor Elvira, University of Edinburgh
Improving marine renewable energy industry, Floating Solar Plant in particular, by linking marine geoscience with data science
by Amir Honaryar,
Queen’s University, Belfast
10:34Using Legacy Core Material to Support the Future of Data Science
by Kirstie Wright, North Sea Core CIC, Aberdeen
Reinforcement learning for fluid control
by Ahmed Elsheikh, Heriot-Watt University
Domaining of downhole geochemical data – an automated approach applied to the Northern Limb of the Bushveld Complex
by Tom Buckle, University of Exeter
10:57Advances in experimental mechanics: opportunities, challenges, and limitations
by Elma Charalampidou,
Heriot-Watt University
Graph deep learning in reservoir conditioning to production data
by Gleb Shishaev,
Tomsk Polytechnic University
Agent based modelling for subsurface dynamic screening
by Bastian Steffens, Quentin Corlay, Heriot-Watt University
11:20Breakout group discussionBreakout group discussionBreakout group discussion
11:35Speaker panelSpeaker panelSpeaker panel
12:00Statistical characteristics of flow in heterogeneous random porous media
by Anna Isaeva,
Moscow State University
Performance of Machine Learning Algorithms and the Value of Information
by Roman Belavkin,
Middlesex University, London
Machine learning approach to reduce uncertainties in reservoir description using gravity and magnetic data,
by Aleksandra Volkova,
Tomsk Polytechnic University
12:23Estimating permeability field by combining data from wireline logs and hydrodynamic well tests
by Vladimir Vannovskiy, Skoltech, Moscow
Data science approaches in geology
by Alexey Antonov, Mikhail Karpushin, Moscow State University
Classification of lithology (autointerpretation) and empty logs restoration by means of Machine Learning,
by Vladlen Sakhnyuk, Alexander Sharifullin and Eugeny Novikov
Moscow State University
12:46Some applications of global sensitivity analysis in geosciences
by Dmitriy Kolyukhin, Trofimuk Institute of Petroleum Geology and Geophysics​ , Novosibirsk, SB RAS
Machine Learning Approaches in Geological Mapping – A case study from Northern Ireland
by Zeinab Smille, University of Stirling
Workshop: Themes for Day 4
13:09Breakout Group discussionBreakout Group discussionBreakout Group discussion
13:24Speaker panelSpeaker panelSpeaker panel
13:44LUNCH and closeLUNCH and closeLUNCH and close

Consolidation Day, Feb 17th

Collaborative research project design

9:30: Registration and Tea & Coffee
10-11:30: Project Design
11:30-11:45: TEA BREAK
11:45 – 13:15: Research Network Design
13:15: Close, followed by LUNCH