CFSG Module D: Facies simulations | Training course

Learn how to achieve reliable and realistic facies modeling.

Objectives

The CFSG (Specialized Training Cycle in Geostatistics) is a high-level training program in mining geostatistics delivered by the Geostatistics Team from Mines Paris and Geovariances. This program aims to equip you with an in-depth understanding of geostatistics for mineral resource estimation, enabling you to create block models your company needs for confident mine planning when you return to work. Throughout the training, you will learn the theoretical aspects of the techniques presented and practice them through various exercises and a real-world project.

CFSG is intended for individuals whose time zone is aligned with Europe (France) and the Americas (Brazil). It will be delivered online in 6 modules over 9 weeks throughout 2024, starting in February.

Module content

This module is the fourth one of the CFSG series. At the end of it, you will be able to apply the facies modeling techniques to produce accurate and realistic geological models.

THEORY

• Model determination
– From geology to indicators
– Experimental statistics of indicators: proportions, stationarity
• The Sequential methods
– Sequential Indicator Simulations:
. Modeling the variogram of indicators
. Adaptation of the Sequential Simulation technique to facies
• The Plurigaussian model
– Reminders: the Gaussian Simulation approach for continuous variables (e.g. Turning Bands)
– Ingredients: Indicators, dimension of the latent Gaussian field (mono-gaussian or pluri-gaussian), truncation rules
– Modeling: Facies proportions and variograms of the underlying Gaussian Random Function
– Non-conditional simulations
– Conditional simulations:
. Gibbs sampler for translating categorical constraints into Gaussian values
. Conditional Gaussian simulations

PRACTICE

Several exercises to learn how to compute a facies proportions model and run Sequential Indicator Simulations and Plurigaussian Simulations with Isatis.neo Mining Edition.

Additional modules

Each module can be attended independently of each other. However, it is important to note that completion of Module A or having experience in geostatistics and Isatis.neo is a prerequisite for participation in any of these modules.

Outlines

• Half of the training program is devoted to methodological presentations, the other half to practical exercises to deepen the understanding of concepts.
– The methodological courses are given by Mines Paris professors.
– Geovariances consultants will drive the practical sessions from our French office.
– For more convenience, these courses are recorded and made available to participants during the session and until one month after the end of the course.
• A typical training week would then be:
Monday, Tuesday, Wednesday, and Thursday: theoretical course (on a half-day) and hands-on practice with Isatis.neo Mining Edition (on the half-day following the theoretical course).
– Friday: homework using Isatis.neo Mining Edition with compulsory rendering at the end of the day. Live corrections and comments from the teaching team. Validation of prior learning.
• CFSG is a full-time training. You are required to be present/connected for the duration of the sessions.
• CFSG is a certification training. The knowledge acquired in each module is validated through an examination. At the end of each module, you will get a training certificate that officially recognizes the full completion of the module.
• Course material and a temporary software license are provided.
• A minimum number of 8 participants is required for a module actually to take place.

Who should attend

CFSG training program is meant for mining geologists and engineers who are willing to achieve a high level in geostatistics.

Module A is ideal for newcomers to mining geostatistics. Modules B and F are designed for individuals who wish to delve into more advanced geostatistics.

Prerequisites

The course is delivered in English and requires a good level of this language. Sound notions of mathematics are also recommended.

As the course is online, a good quality internet connection is required. We also appreciate that the participant’s camera is turned on for the session.​