CFSG Module E: Domaining | Training course
Get introduced to a powerful machine-learning-based technique for geological domaining.
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.
This module is the fifth one of the CFSG series. At the end of it, you will be able to apply machine-learning classification techniques to produce geological domains for resource estimation.
A 3D domain is modeled by its boundaries, considered as a pair of 2D surfaces or a closed manifold in 3D.
- Data classification: statistical multivariate geographical classification using Geostatistical Hierarchical Clustering (GHC)
– Classification into rock types from multivariate attributes
– Integrating spatial dependency through an adjacency graph
– Updating the classification with Support Vector Machine learning methods (SVM)
- Multiple Indicator Kriging as a chemical domain estimator
- The Potential method
– Data: intercepts of drill holes with boundaries, normal and tangent to the surface
– The implicit model
– Estimating the latent potential using cokriging
– Dealing with several surfaces: conformal layers, layers with pinch-outs, or faulted
– Uncertainty quantification (probability to belong to the domain) with simulations of the potential field.
Several exercises to learn how to run sample clustering for automatic domaining and domain modeling with Isatis.neo Mining Edition.
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.
- Module A: Geostatistics Fundamentals (mandatory)
February 26-March 8 & March 18-29, 2024 – 20 days
Learn the fundamentals of mining geostatistics for block modeling
- Module B: Recoverable resources with nonlinear methods (optional)
April 22-26, 2024 – 5 days
Learn how to compute recoverable resources considering mining selectivity and quantify the uncertainties.
- Module C: Non-stationary geostatistics (optional)
June 3-5, 2024 – 5 days
Learn how to constrain the block model with geological trends.
- Module D: Facies simulations (optional)
July 1-5, 2024 – 5 days
Learn how to achieve reliable and realistic facies modeling.
- Module F: Coupling Machine-Learning and geostatistical techniques using Python (optional)
Sept. 30-Oct. 4, 2024 – 5 days
Learn how to implement Machine Learning techniques in Python code for data classification.
- 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
The CFSG training program is meant for mining geologists and engineers willing to achieve a high level of geostatistics and boost their careers.
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.
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.
Benefit from the trainers’ high expertise in geostatistics
From Mines Paris – PSL