|Date||Mon 23 April 2018, 08:00|
|-||Thu 26 April 2018, 17:00|
School of Mining Engineering at the University of the Witwatersrand
1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2000, South Africa
MPS School Announcement-Programme and Registration.pdf
Multiple-Point Statistics Announcement 07032018.pdf
The course is aimed at providing geostatistics practitioners and mineral resource evaluators with newly developed skills, knowledge and competency for application in the evaluation and classification of Mineral Resources. The development of these skills is seen as being of strategic importance.
To increase the knowledge and competency amongst technical staff of the application of Multiple Point Statistics in Mineral Resourses estimation and evaluation.
The course content will be of interest to:
For further information contact:
Head of Conferencing: Camielah Jardine, SAIMM · P O Box 61127, Marshalltown 2107
Tel: (011) 834-1273/7 · Fax: (011) 833-8156 or (011) 838-5923
Philippe Renard, Prof. Dr. Eng., (born 1967), Professor of Hydrogeology at the University of Neuchatel, Switzerland (2006-present), PhD from École des Mines de Paris in 1996 (honours), Lecturer in hydrogeology at the Swiss Federal Institute of Technology Zurich (ETHZ) from1997 to 2001. Water supply engineer in Kankan,Guinea for the French ministry of Cooperation from 1992 to 1993. His research focuses on groundwater hydraulics in porous and fractured rocks, upscaling techniques, and innovative geostatistical methods for uncertainty quantification. He has been working on the regional modeling of saltwater intrusions in Cyprus and Tunisia. He has participated to numerous international projects such as the evaluation of the groundwater resources in the north-west of the Sahara (Mauritania) for the world bank. He was editor of Hydrogeology Journal, president of the geoENVia association and is currently a member of the leadership team of the Groundwater Committee of the International Association of Hydraulic Research (IAHR). He is the author of more than 100 scientific articles in international journals and covering a wide range of topics. His current research is focused on the development of multiple-point statistics methods as well as pseudo genetic approaches for heterogeneity modeling, uncertainty quantification and inverse groundwater modeling.
Julien Straubhaar, Dr, born in 1979, senior researcher in the stochastic hydrogeology group of the University of Neuchâtel. He holds a PhD in applied mathematics (University of Neuchâtel, 2007), with a focus on numerical methods for partial differential equations and in particular preconditioners for linear equations. His current research mainly deals with geostatistics and inverse methods. He is author of more than 20 scientific papers published in international journals and he has been a reviewer for several scientific journals. Over the last ten years, he has been heavily involved in the development of parallel multiple-point statistics algorithms, in particular Impala and Deesse softwares, which are available in professional products.