Training courses in mining, oil & gas and environmental geostatistics

Geovariances offers general or industry-related geostatistics training available worldwide in various languages. Courses cover all aspects of geostatistics for resource estimation, contamination characterization, mapping or risk analysis. We provide a variety of training options, including live public, in-house or online sessions, with standard contents or customized to your team’s unique needs.

Choose the training best suited to your profile

Whatever your technical level or requirements, you will find a training adapted to your needs in our comprehensive course portfolio. Our courses range from short webinars and half-day introductory seminars to 3-5 day fundamental level training or advanced level workshops. Our programs are specifically tailored to your industry and your specific operational challenges and are conducted either in English, French, Spanish or Portuguese languages.

Develop the geostatistical skills you need

Our programs cover the whole geostatistics workflow, from data analysis and variography to advanced multivariate non-linear methods. With our courses, you can get a “hands-on experience” of the importance of key geostatistical concepts, rapidly develop valuable skills with our niche topics, improve your software practice or just get some insights on the added value of geostatistics. Training can be completed with mentoring for goal-oriented workshops.

Get your geostatistical training at the time you need it

You may pick up a public session from one of our catalogues. Or you can ask us to organize your specific training for you and your colleagues, privately and tailor-made to answer your unique requirements. You will then choose between instructor-led classroom covering 8 hours of content per day or live online solutions limited to 2 hours per session and 2 sessions per day. The choice is yours!

Learn from our experienced trainers

The skills you acquire with our experts help you build more reliable quantitative models and gain confidence in your results. Our trainers are senior geostatisticians, statisticians, geologists, mining or petroleum engineers adding up decades of experience in teaching geostatistics and carrying out consulting projects. They know your business and understand your specific challenges. They are also the ones who train the industry geostatistics experts.

Hear from our clients

Dans le cadre de ses formations, l’INSTN fait appel à des experts reconnus. Yvon Desnoyers, consultant à Geovariances, est de ceux-là. Ses interventions permettent de délivrer une formation de qualité en combinant une approche théorique et des exemples d’applications...


Guy Granier, Responsable pédagogique - Institut National des Sciences et Techniques Nucléaires (INSTN)
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It has been a great time and a great opportunity to be able to learn and share Geostatistics knowledge and computer codes from the Geovariances team. I think that only by myself it would have been impossible to realize some of the main features of Isatis.


Jose Luis Leganés Nieto, R&D, L&ILW Engineering Department - Enresa
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"The online training was conducted in 10 sessions of 2 hours over 2 weeks. This gave me the time I needed to fully digest the course between 2 sessions and the opportunity to be critical about what I was doing. I definitely recommend Geovariances online training."


Gabrielle Rumbach, Geologist - Vermilion
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"Thanks to the skills of the trainers and the quality of the documents provided it was a very successful experience, one which I would strongly recommend for other E&P teams."


Antoine Benedini, Head of Geophysics – Integrated projects - Foxtrot International, Ivory Coast
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"Isatis maintenance contract gives us easy access to innovation which improve our day-to-day work and the possibility to guide the software developements according to our needs. Ore valorization, selective exploitation,..."


Monique Le Guen, Geology Department Manager Resources & Reserves - Eramet Nickel Division, France
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Resources

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Time to Depth Conversion

Time to depth conversion of geological surfaces is critical for structural model building. Quantifying the uncertainty attached to the conversion is also of primordial importance for assessing GRV uncertainties. Traditional velocity models used in time to depth conversion could benefit from geostatistical techniques used in data integration. The advantage of using geostatistical methods is that they fit the data in one step and allow quantifying the uncertainty attached to the prediction by mean of the generation of equiprobable realizations.

Through Geovariances long-lasting experience in geostatistical depth conversion studies, learn how geostatistics helps you improve the accuracy of your reservoir structural model and assess the uncertainties on surfaces.

Mapping with auxiliary data

Through this white paper, discover how you canimprove significantly map reliability and quality by incorporating various sources of information in the interpolation process.

This document details the different methods for assimilating various sources of information, taking into account the reliability of each source and how the uncertainty associated with any mapping result can be estimated and reduced.

Data Quality Control

Before starting an evaluation of the contamination leading to decision-making tools for site clean-up, it is essential to ensure data quality. Thus, based on solid and reliable foundations, uncertainties occurring during the different steps of the decision process will be better controlled and the final quality of the project improved.

The objective of this white paper is to assess at best the validity of the data through visual, statistical and geostatistical basic tools before going further into their analysis.

Which block size for mineral resource estimation

A key aspect of mineral resource estimation (MRE) is the definition of the block dimensions used to estimate the deposit attributes.

A satisfactory compromise is to be found to get an estimate that allows making decisions upon volumes that are representative of the physical reality of the operation while being aware that the density of information available at the time of estimation probably does not warrant the direct estimation of such volumes.

Through this white paper, learn how to choose a relevant support size for mineral resource estimation.

Localized Multivariate Uniform Conditioning

Estimating tonnage and grade, from sparse data, at a mining scale resolution is a challenge. Uniform Conditioning (UC), provides a powerful approach to estimating recoverable resources at a local scale, i.e. predicting the local distributions of SMUs (selective mining units) within larger panels conditional to neighbouring information.

Through Geovariances long-lasting experience in applying UC (and now LMUC), learn how LMUC helps you optimise the accuracy of your predicted recoverable resource estimates and access the information you have available regarding recoveries predicted at the mining (SMU) scale.

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