Schedule

Monday, 22nd January 2018

“INTRODUCTORY AND ADVANCED TOPICS IN GEOSTATISTICS”

(by Dr. Emmanouil Varouchakis and Prof. Dionissios Hristopulos, Technical University of Crete)

 

9:30 – 11:00 -Spatio-temporal geostatistics (E. Varouchakis);

11:15 – 11:45 – Coffee break;

11:45 – 13:15 – Simulations, uncertainty estimation (E. Varouchakis);

13:15 – 14:45 – Lunch;

14:45 – 16:00 – Spartan random fields, anisotropy (D. Hristopulos);

16:00 – 16:30 – Coffee break;

16:30 – 17:30 – Stochastic local interaction models, applications to data (D.Hristopulos).

 

 

Tuesday, 23rd January 2018

“GEOSTATISTICAL METHODS FOR MINERAL DEPOSITS APPLICATIONS” AND “ASSESSMENT OF COPPER ORE DEPOSIT VARIABILITY”

(by Prof. Barbara Namysłowska-Wilczyńska, Wroclaw University of Science and Technology, Poland)

 

9:30 – 11:00  –   Geostatistics: variography, kriging, cokriging. Overview of estimation techniques (ordinary kriging, simple kriging, indicator kriging, lognormal kriging);

11:15 – 11:45 – Coffee break;

11:45 – 13:15 – Computer exercises;

13:15 – 14:45 – Lunch;

14:45 – 16:00 – Simulation (turning bands technique);

16:00 – 16:30 – Coffee break;

16:30 – 17:30 – Computer exercises.

 

 

Wednesday, 24th January 2018

UNCERTAINTY QUANTIFICATION IN SPATIAL GEOSCIENCE PREDICTION PROBLEMS: GEOSTATISTICS, MACHINE LEARNING, BAYESIAN INFERENCE

(by Dr Vasily Demyanov, Heriot-Watt University)

 

9:30 – 11:00 – Introduction: Sources of uncertainty and it’s perception in prediction modelling. How uncertainty is modelled in geostatistics: geological and environmental case studies.

11:00 – 11:30 – Coffee break;

11:45 – 12:45 – Uncertainty prediction with calibrated models: inverse problems and Bayesian inference for subsurface reservoir flow modelling.

12:45 – 13:45 – Lunch;

13:45 – 16:00 – Machine learning in geosciences. Generic methodology of learning from data. Intelligent exploratory data analysis. Machine learning algorithms (basics).

16:00 – 16:30 – Coffee break;

16:30 – 17:30  – Simulated and real data case studies.

 

 

Thursday, 25th January 2018

“Machine learning in geosciences”: Fundamentals of machine learning

(by Professor Mikhail Kanevsky, Lausanne University and by Dr Vasily Demyanov, Heriot-Watt University)

 

9:30 – 11:15 Machine learning applications for geological case studies:

–  use of intelligent prior information based on modern river analogues

–  modelling porous property complex multiscale fluvial deposits and flow prediction

–  machine learning facies classification based on core interpretation and wireline logs:  real deposit and modern river case studies.

11:15 – 11:45 – Coffee break;

11:45 – 12:45 – Round table wrap-up discussion on the machine learning applications for spatial geoscience problems in mining and subsurface prediction modelling.

13:15 – 14:45 – Lunch;

 

 

 

 

 

Registration

Deadline for registration: 22nd January 2018

 

Registration fees

Registration fees
Participants720€
PhD students, students400€

 

The registration fee includes attendance at the worshop (lectures and computer exercises at the Workshop, coffee breaks, lunches, conference dinner, city tour).