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 a variety of training options, including live public, in-house or online sessions, with standard contents 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 5-week post-graduate training program called The Mining CFSG or Cycle de Formation Spécialisée en Géostatistique (Specialized Training Cycle in Geostatistics) provided by the Center for Geosciences from MINES ParisTech and leading to the award of a post-master degree in geostatistics. More info →
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
"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."
A terrific introduction to plurigaussian simulation and Isatis. I highly recommend any of the Geovariances online training for anyone looking to expand their geostatistical skills and learn the exceptional feature of Isatis.
Amélioration de l’estimation des teneurs en alumine d’un gisement de kaolin à l’aide des simulations par bandes tournantes | Amélioration de l'estimation des teneurs en alumine d'un gisement de kaolin à l'aide des simulations par bandes tournantes
Spatio-temporal optimization of groundwater monitoring network at Pickering Nuclear Generating Station (video)
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
Use of geostatistical modelling in investigation of soil contamination – working toward a better definition of remedial mass and volume | Per Loll, Ph.D. DMR A/S, T. Tsitseli, C. Larsen, DMR A/S A. Rokkjær, P. Johansen, H. Østergaard, N. Døssing Overheu, Capital Region of Denmark - NORDROCS 2018
Co-kriging of log ratios: a worked alternative method | Clint Ward, Cliffs, Ute Mueller ECU
Poster: On measuring the spatial sampling density of a deposit for mineral resource classification | On measuring the spatial sampling density of a deposit for mineral resource classification by Marie-Cécile Febvey, Benjamin Martin and Jacques Rivoirard
Factorial kriging for estimating and mapping the geochemical background from in situ gamma dose rate measurements downstream of a former uranium mine | Journal of Environmental Radioactivity Volume 237, October 2021, 106681
Use case 3: post accidental site remediation − CEA | EPJ Nuclear Sci. Technol. 6, 13 (2020) | Yvon Desnoyers and Claire Faucheux, Geovariances; and Nadia Pérot, CEA Cadarache
Development of a user-friendly guideline for data analysis and sampling design strategy | EPJ Nuclear Sci. Technol. 6, 16 (2020) | Yvon Desnoyers, Geovariances and Bart Rogiers, SCK.CEN Belgian Nuclear Research Centre
Modeling 3D soil lithotypes variability through geostatistical data fusion of CPT parameters | G. Vessia, D. Di Curzio, A. Castrignanò - Science of The Total Environment, Volume 698, 2020, 134340, ISSN 0048-9697