Applied geostatistics with SGeMS: a user's guide

Applied geostatistics with SGeMS: a user's guide

Remy, Nicolas
Boucher, Alexandre
Wu, Jianbing

80,75 €(IVA inc.)

The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of onealgorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS is the first software to provide algorithmsfor multiple-point statistics, and the book presents an up-to-date discussionof the corresponding theory and applications. Incorporating a CD-ROM with SGeMS software, this book is an essential user-guide for Earth Science graduates and researchers, as well as practitioners of environmental, mining and petroleum engineering. Includes a CD-ROM with the full SGeMS software and example scripts for generating the figures in the book. Each algorithm description is accompanied by an example demonstration, encouraging readers to replicate the examples to develop an intuition for the impact of individual parameters. A tutorial chapter presents an overview of the software to the reader for a hands-on approach to discovering SGeMS (i.e. start SGeMS, interact with it, then refer to the book for details). Practical tips on which algorithm to use, common pitfalls, etc. are highlighted in grey boxes INDICE: 1. Introduction; 2. General overview; 3. Geostatistics: a recall of concepts; 4. Data sets & SGeMS EDA tools; 5. Variogram computation and modeling; 6. Common parameter input interfaces; 7. Estimation algorithms; 8. Stochastic simulation algorithms; 9. Utilities; 10. Scripting, commands and plug-ins; List of programs; List of symbols; Bibliography

  • ISBN: 978-0-521-51414-9
  • Editorial: Cambridge University
  • Encuadernacion: Cartoné
  • Páginas: 284
  • Fecha Publicación: 22/01/2009
  • Nº Volúmenes: 1
  • Idioma: Inglés