Training courses in mining, oil & gas and environmental geostatistics
Geovariances offers general or business-oriented geostatistics training available worldwide in various languages. Courses cover all aspects of geostatistics for resource estimation, contamination characterization, mapping, or risk analysis. We provide various training options, including live public, in-house, or online sessions, with standard content or customized to your team’s unique needs.
Short course training, like the one provided by Geovariances, is an excellent option to acquire relevant knowledge and practical skills quickly and efficiently. Geovariances also supports the online CFSG, the 10-week high-level training program in geostatistics or Cycle de Formation Spécialisée en Géostatistique (Specialized Training Cycle in Geostatistics) provided by the Center for Geosciences from Mine Paris – PSL. More info →
Our training courses are Qualiopi certified (a French national quality reference system). This recognition guarantees the quality of the training we deliver.
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
Resources
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Geostatistical mapping of a contaminated riverbank in Norway – ICRER 2022 | ICRER 2022 - T. K. Eriksen (Institute for Energy Technology, NUK Kjeller, Norway) and Y. Desnoyers (Geovariances)
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Geostatistical mapping of two nuclear sites in Norway – ICRER 2022 | ICRER 2022 - M. Bourgeaux-Goget (IFE) and Y. Desnoyers (Geovariances)
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Characterization of Radioactively Contaminated Land – IAEA Nuclear Back End Webinar Series 3.5
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Amélioration de l’estimation des teneurs en alumine d’un gisement de kaolin à l’aide des simulations par bandes tournantes | XVe Journées de géostatistique 2021 - V. Bouchet (Imerys), M.C. Febvey (Geovariances), Hélène Binet (Geovariances), Armand Dubus (Geovariances)
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Contributions of the CETAMA working group n°10 on sampling and radiological characterisation (poster) | Anne Courtadon et Danièle Roudil, CEA Marcoule; Yvon Desnoyers, Geovariances; Didier Dubot, CEA; Guy Granier, IRSN; Catherine Ollivier-Dehaye, EDF
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Fuzzy membership function for weighting pairs in variographical analysis | P. Masoudi, Spatial Statistics, Volume 52, December 2022, 100717, ISSN 2211-6753, https://doi.org/10.1016/j.spasta.2022.100717
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A novel geostatistical index of uncertainty for short-term mining plan | G. M. C. Dias, M. M. Rocha & V. M. Silva (2023) - CIM Journal, DOI: 10.1080/19236026.2022.2145077
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Smart use of the variogram to explore spatial data, break down variance contributions and model radiological contaminations | by Yvon Desnoyers - Presented at the workshop "Statistical methods for safety and decommissioning" - Nov. 22-24, 2022 - Research Group MASCOT-NUM
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Application de la géostatistique dans l’analyse de risque géotechnique lié à la liquéfaction du sol | Gestion des Données et Nouvel Environnement numérique en Géotechnique - Journée technique CFMS 15 nov 2022
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Geostatistical Modeling of Overburden Lithofacies to Optimize Continuous Mining in the Ptolemais Lignite Mines, Greece | Modis, K.; Sideri, D.; Roumpos, C.; Binet, H.; Pavloudakis, F.; Paraskevis, N. - Minerals 2022, 12, 1109