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
"Durant la formation de 3 jours que j'ai suivie avec mon équipe, nous avons tout particulièrement apprécié l'engagement de l'instructeur ainsi que la qualité de la formation dispensée. Les objectifs que nous nous étions fixés avec cette formation sont largement atteints."
"O curso Prática em Geoestatística com uso do software Isatis.neo, promovido pela Universidade Federal do Rio Grande do Sul em parceia com a Geovariances, foi muito intenso e produtivo. Agradeço toda a equipe pelo suporte e pela qualidade do conteúdo."
"Many thanks for your kind and informative lecture during online training. It was a very good chance for us to understand and apply geostatistics for contamination characterization. I hope to continue cooperation with Geovariances."
"Very good training associating an academic statistics approach with practical examples. This very useful training will increase our expertise on polluted site management and help us to find the best way for the best remediation works."
"Training very good in all aspects: organization, material, applicability of the methodology and technical knowledge of the consultant. We will certainly have more challenges and we know that we may count on you."
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)
Geostatistical mapping of two nuclear sites in Norway – ICRER 2022 | ICRER 2022 - M. Bourgeaux-Goget (IFE) and Y. Desnoyers (Geovariances)
Characterization of Radioactively Contaminated Land – IAEA Nuclear Back End Webinar Series 3.5
Methodology for the Estimation of Contaminated soil by a Geostatistics-based method | WM2023 - E. Moreno (CEA Marcoule), Y. Desnoyers (Geovariances), I. Bisel (CEA Marcoule) and P. Marty (CEA Marcoule)
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)
Assessment of ambient dose equivalent rate distribution patterns in a forested-rugged terrain using field-measured and modeled dose equivalent rates | M. Yasumiishi, P. Masoudi, T. Nishimura, K. Ochi, X. Ye, J. Aldstadt, M. Komissarov - Radiation Measurements, Volume 168, 2023, 106978, ISSN 1350-4487, https://doi.org/10.1016/j.radmeas.2023.106978.
Uncertainty analyses for short-term planning and quality control applied to Capitão do Mato e Galinheiro mines – MG | Giulia Marina Cerqueira Dias, Dissertação de Mestrado, Instituto de Geociências, Recursos Minerais e Meio Ambiente, São Paulo, 2023
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
Methodology for Contamination Estimation by a Geostatistic-based Method | WM2023 - E. Moreno (CEA Marcoule), Y. Desnoyers (Geovariances), I. Bisel (CEA Marcoule) and P. Marty (CEA Marcoule)
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