Launched in 2005, SGeMS is rapidly becoming the reference for open source geostatistical software.
SGeMS provides, in a user friendly environment, the classical geostatistical algorithms as well as the most recent advances developped at the Stanford Center for Reservoir Forecasting.
But in addition, SGeMS offers an access to the code itself and to a user friendly interface in which one can develop its own geostatistical routine. In doing so, SGeMS can be seen as a platform for rapid algorithmic development and testing.
The aim of this course is to enable the participants to access the full power of SGeMS by providing the knowledge allowing them to use most of the advanced features of the code.
The course will be given by Alexandre Boucher (Stanford University), one of the author of the code and author of the recently published book Applied Geostatistics with SGeMS.
Alexandre Boucher. Stanford University. One of the developper of SGeMS. Alexandre Boucher's research is related to the development of new geostatistical methods in a wide range of field. He is teaching geostatistics in Stanford.
This page has been updated the 4/19/2009 by Philippe Renard.