ISATIS Advanced

2 days

• July 3-4, 2008 « Register
  Lecturer: Jérôme Poisson
  Venue: Johannesburg, RSA (exact location to be confirmed)

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Registration policy / Catalog

OBJECTIVE

This course will get you acquainted with the practice of non-linear geostatistical methods in ISATIS:
 estimation of recoverable resources (global and local): Gaussian transform, change of support, Indicator Kriging, Uniform Conditioning;
 Conditional simulations: Turning Bands and Sequential Gaussian methods.

KEY FEATURES

The course is software oriented and based on an artificial 2D dataset for best visualization and understanding. Attendants will practice either alone or by groups of two people, they will keep a copy of their ISATIS project at the end of the course (database, graphics, journal files, etc). Pros & cons of each method will be discussed regarding the specific issues of the mining industry.

WHO SHOULD ATTEND

Professionals who wish to learn how to apply non linear methods in ISATIS. Since ISATIS is a general purpose geostatistical tool, learning how to use it is of benefit to any geoscientist or engineer who works on spatial data: geologists, geostatisticians, mining engineers.

PREREQUISITES

It is required to have a good knowledge in geostatistics and some experience in using ISATIS (user interface, data management, spatial data analysis, what are the variogram and kriging). As this course is software oriented, some basic knowledge in non-linear geostatistics is also advised.

COURSE CONTENT

This session covers the following topics:

• Declustering.
• Normal score transformation using the anamorphosis function.
• Change of support within the discrete gaussian model.
• Conditional simulations (turning bands, SGS).
• Post-processing of simulations.
• Non-linear kriging methods: Indicator Kriging, Uniform Conditioning
• Confidence Interval computation