Pioneering geostatistics for industry. Since 1986.
For four decades, Geovariances has helped turn spatial uncertainty into informed decision-making. Our software, consulting services, and training programs assist over 500 organizations in mining, energy, environmental, and bioresources industries.
Transforming spatial uncertainty into informed and defensible decisions through rigorous models, actionable risk quantification, and unparalleled expertise, delivered through software, consulting, and training.
Foundation
Founded by three engineers from the Center for Geostatistics at Mines ParisTech, the birthplace of geostatistics, Geovariances set out with one mission: to turn cutting-edge research into practical solutions for the real challenges of the mining, energy, and environmental sectors.
Isatis
Release of the first version of Isatis, which became the global reference software for applied geostatistics. Built on the direct collaboration with Mines ParisTech, Isatis set the methodological standard still used by the industry today.
Kartotrak
A collaboration with the French Atomic Energy Commission (CEA) led to the development of Kartotrak, the first integrated geostatistics-based solution for contaminated site and nuclear facility characterization.
Isatis.neo
A complete architectural rebuild of Isatis into a modern, high-performance platform, featuring machine learning integration, Python connectivity, and preconfigured industry workflows for Mining, Petroleum, and environmental applications.
Datamine Group
Geovariances strengthens the Datamine portfolio by bringing world-class geostatistical expertise to a complete suite of mining modeling and resource characterization solutions.
Isatis.py
Release of the first version of our Python based geostatistical library grouping all the geostatistical algorithms found in Isatis.neo
1986
Founded
40 years
R&D
500+
Clients
Global
Distribution
5
Industries
2022
Datamine
Founded in 1986 from the Center for Geostatistics at Mines ParisTech, where Georges Matheron invented the discipline, Geovariances has cultivated an active partnership in research and development with the school. The company bridges academic excellence and industrial pragmatism, remaining rooted in rigorous science while solving real-world challenges.
Every day, our geostatisticians work on real projects worldwide. This hands-on experience shapes our software, guides our advice, and ensures you receive expertise grounded in the realities of your sector.
We fuel innovation through active investment in research, via consortia, joint thesis supervision, and strategic partnerships with Mines Paris – PSL and leading universities worldwide. This commitment keeps us at the forefront of geostatistical advancement.
We co-lead the CFSG with Mines Paris – PSL, the reference program in applied geostatistics. It uniquely combines academic excellence with hands-on workshops using real industry data, led by our consultants, training the innovators reshaping the field.
Senior Geostatistics and Data Science Consultant.
Expert in transforming geological data into reliable resource models, Roberto partners with mining teams to develop advanced estimation and simulation solutions that meet international standards. Specializing in Python and machine learning applied to geosciences, he creates solutions tailored to the complex challenges of each project.
Geostatistics & Geophysics Consultant
Consultant and trainer at Geovariances, Pedram specializes in geostatistical modeling and integrating geological and geophysical data. He works with clients across diverse sectors: mineral resource estimation (JORC-compliant), oil reservoir characterization, geological facies modeling, geotechnical studies, and contaminated site mapping, with particular expertise in radiation protection.
Geostatistics Consultant
With a Ph.D. in geostatistics applied to nuclear safety (ASNR) and teaching experience at Mines Paris–PSL and Université Paris Cité, Meryem helps clients implement Kartotrak. She transforms sampling data into reliable 3D contamination models, defensible volume estimates, and robust remediation decisions—tailored to contaminated sites and nuclear decommissioning challenges.
Isatis.neo and Kartotrak cover the entire geostatistical workflow: data preparation, variography, estimation, simulation, and risk analysis. Available as standalone platforms or integrated into your environment via Python.
Our geostatisticians work alongside your teams to address your most complex spatial challenges: mapping, resource estimation, contamination characterization, subsurface modeling, and uncertainty analysis.
Practical training courses in geostatistics, tailored to specific industries, available online and in person in English and French. Courses range from introductory to advanced levels, including the CFSG program co-organized with Mines Paris – PSL.
Environment
How can more than 500,000 m³ of excavated soil be managed in a context of heterogeneous soil quality while keeping costs under control?HAROPA PORT relies on a probabilistic geostatistical approach to estimate volumes, anticipate disposal routes, and secure the project budget.
Mining
Faced with sparse drilling data in the northern extension of its Rodoretto talc mine, Imerys leveraged the advanced simulation capabilities of Isatis.neo, first using multiple-point statistics (MPS) and then plurigaussian simulations (PGS), to model lithologies and grades, with methodological support from Geovariances.
Mining
Discover how Eramet streamlined resource estimation with Isatis.py, boosting reliability, speed, and traceability across several dozens of their mining sites.
Subsurface
Maxwell GeoSystems is a software company that develops a platform dedicated to construction data management, display, and interpretation. As a data specialist, Maxwell GeoSystems’ mission is to give their clients the best interpretation of their data to reduce risk and improve construction performance. They recently integrated geostatistics with Isatis.neo in their modeling process to quantify […]
Environment
RSK Environnement has selected Kartotrak, the leading expert tool for characterizing soil and structural contamination. The objective: to integrate a probabilistic approach and significantly enhance the robustness of its assessments.
Mining
Geological domaining is a crucial step in the resource modeling process. However, domains can be challenging to identify when grade populations are too intricate. Sibanye-Stillwater faced one such challenge for a PGM (platinum group metals) deposit with complex low-grade and very high-grade zones and several faults. They opted for the Isatis.neo clustering tool to overcome […]
Subsurface
To test the relevance of the geostatistical approach in the field of geotechnics, Eiffage Génie Civil Marine, a specialist in the construction of major port and maritime projects, asked Geovariances to produce a subsurface model for an existing project to compare with the model generated using their usual tools. The results proved more than convincing. […]
Environment
The Ginger BURGEAP environmental consultancy, a leader in the remediation of polluted sites and soils for over 30 years, uses the Kartotrak software solution to establish mass balances, define areas of concentrated pollution, and quantify volumes of pollution. What do they see as Kartotrak’s strengths? The 3-dimensional visualization of the contamination and the site, the […]
Everything you would like to know before contacting us
Yes. Geovariances joined the Datamine Group in 2022. Geovariances continues to operate independently from its headquarters in Avon, France, developing and supporting Isatis.neo and Kartotrak, while benefiting from Datamine’s global reach and infrastructure.
Geovariances is a company specialized in geostatistics: its two products, Isatis.neo and Kartotrak, are dedicated to spatial modeling, uncertainty quantification, and risk analysis across the mining, energy, environmental, and bioresources sectors. Datamine is a broader mining technology group offering an extensive portfolio of mine planning and operations software. Geovariances operates as a distinct entity within the group.
Geovariances is headquartered in Avon, France (44 avenue de Valvins, 77210 Avon), near Fontainebleau, approximately 60 km south of Paris.
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44 Avenue de Valvins, 77210 Avon, France