The 10th International Geostatistical Congress follows the tradition of quadrennial meetings of theoreticians, engineers and practitioners working on geostatistics. Since its inception around mining geostatistics, the number of fields that have benefited from the use of geostatistics has increased tremendously, and today one can find applications also in petroleum engineering, environment, hydrology, ecology, soil sciences, remote sensing, agriculture, fishery, health, big data, and a long list of other disciplines.

Only a few will come to Valencia having attended all previous nine meetings in

1. Frascati, Italy, 1975
2. Lake Tahoe, USA, 1983
3. Avignon, France, 1988
4. Tróia, Portugal, 1992
5. Wollongong, Australia, 1996
6. Cape Town, South Africa, 2000
7. Banff, Canada, 2004
8. Santiago, Chile, 2008
9. Oslo, Norway, 2012

This meeting will also serve to honor Danie Krige, after whom kriging is named, and who passed away on March of 2013. A special session will be held to honor his work.

J. Jaime Gómez-Hernández. Chairman.

Jaime is full professor of Hydrgogeology and has a Ph. D. on Geostatistics by Stanford University. He has plenty of experience in organizing congresses and conferences, this will be the sixth one since he took care of geoENV98.

Javier Rodrigo-Ilarri

Javier is assistant professor at the Hydraulic and Environmental Engineering department of the UPV. He has developed his professional activities on every branch of environmental engineering including soil and groundwater contamination and solid waste management.

Eduardo Cassiraga

Eduardo is associate professor of Hydrogeology and Geostatistics and has a Ph. D. by Technical University of Valencia. He is the director of the master in Hydraulic Engineering and Environment of the Technical University of Valencia since 2012.

Teng Xu

Teng holds a Ph. D. in Water and Environmental Engineering by the Technical University of Valencia, where he works as a postdoc researcher now.

Julio Gutiérrez

Julio is a Hydraulics and Environmental Ph.D. candidate with experience in geostatistics, mathematical modeling as well as field measurements such as monitoring wells and geophysics. He has collaborated in the organization of several congresses since 2010.

María Elena Rodrigo-Clavero

María Elena is Civil Engineer and Ph. D. candidate at the Hydraulics and Environmental Enginenering Dep of the UPV. She has been working for private companies on the field of Solid Waste Management. She is currently associate professor on Environmental Engineering at the Civil Engineering Master Degree at UPV.

All realizations all the time and other trends in petroleum geostatistics

Clayton V. Deutsch

Clayton is a Professor in the School of Mining and Petroleum Engineering, Department of Civil & Environmental Engineering at the University of Alberta. He teaches and conducts research into better ways to model heterogeneity and uncertainty in petroleum reservoirs and mineral deposits.

Mapping the significance of El Niño/La Niña impacts on vegetation patterns in the Amazon Basin

Sean A. McKenna

Sean is the Senior Research Manager for Constrained Resources and Environmental Analytics at IBM Research – Ireland.  He leads a team of scientists and engineers in developing solutions for water resources management, environmental modeling and long-term monitoring.  Dr. McKenna was previously a Senior Scientist at Sandia National Laboratories in Albuquerque, New Mexico and is the 2016 International Association of Mathemetical Geosciences (IAMG) Distinguished Lecturer.

Investigating the prior geostatistical model in its ability to reproduce nature’s variability

Celine Scheidt

Céline is a senior research engineer in the Department of Energy Resources Engineering at Stanford University.  She is interested in uncertainty quantification, sensitivity analysis and in the use of distance-based methods in Earth modeling. She obtained her PhD at Strasbourg University and the IFP (France) in applied mathematics.

Models on the Globe and its Implementation in RandomFields

Martin Schlather

Martin is professor in Stochastics at the Institute for Mathematics, University of Mannheim. He holds a BSc in Geoecology from the University of Bayreuth and a D.E.A. in Geostatistics from the Ecole des Mines de Paris. In his PhD thesis at the TU Bergakademie Freiberg he dealt with Stochastic Geometry.  His more theoretically oriented research areas are computational statistics, geostatistics and extreme values with applications in meteorology and finance. On the applied side he deals with statistical problems in agriculture, particularly in animal breeding. Since the late nineties, he has been developing the R package RandomFields. The package includes multivariate, space-time and non-stationary modelling elements for Gaussian fields and various models for spatial extremes. Since 2014 the development of the user interface has become a major task.

Castelo de Sonhos: Geostatistical quantification of the potential size of a paleoproterozoic conglomerate-hosted gold deposit

R. Mohan (Mo) Srivastava

Mo has a Bachelor’s degree in Earth Sciences from MIT and a Master’s degree in Geostatistics from Stanford University, where he co-authored “An Introduction to Applied Geostatistics”, still one of the most widely used textbooks on the subject. He has spent almost all of his professional career as a consultant, applying geostatistics and numerical methods to a wide range of earth science problems, from resource estimation in the mining and petroleum industries, to fracture modeling for nuclear waste repositories and carbon sequestration, to studies of animal populations, climate change and groundwater modeling. For his significant career contributions to geoscience, Mo received in 2016 the Award of Merit from the Association of Professional Geoscientists of Ontario. After more than 30 years of not having a real job, Mo recently became the Vice President of TriStar Gold, where he works to advance their Castelo de Sonhos gold project in Brazil.

Open to registrants and companions

Companion tickets on sale at registration desk