Isatis.neo | Geostatistics made accessible
Isatis.neo is a smart and powerful software solution in geostatistics. Featuring an intuitive user interface, it results from Geovariances’ dual commitment to developing breakthrough technology and making first-class geostatistics accessible to more users.
Designed for every business dealing with spatialized data, Isatis.neo exceeds industry standards in geostatistics. The software enables thorough data analysis and visualization, produces high-quality maps and models, and allows you to carry out extensive uncertainty and risk analyses that optimize your decision-making process.
Available in a Standard Edition, Isatis.neo is also offered in two special versions, Petroleum Edition and Mining Edition, to better meet the specific requirements of these two industries. In addition to business-oriented tools, each version offers a preconfigured workflow for an optimized way to tackle classical although challenging issues:
– Mineral Resource Estimation including Ore Control and Reconciliation for the Mining Edition,
– Time-to-Depth Conversion with comprehensive uncertainty analysis for the Petroleum Edition.
Improve your performance
Geostatistics can appear daunting if you are not familiar with the approach. This is why we have been working to make Isatis.neo straightforward to use so that you only focus on your geostatistical analysis, not on how to use the tool. Your performance is boosted thanks to its intuitive interface, but also by cutting-edge parallelized algorithms and powerful scripting procedures that allow fast and easy model updating.
Tailor your project to your needs
Isatis.neo provides a wide choice of proven and state-of-the-art statistical and geostatistical tools in a fully flexible package letting you design your own process to best address your specific issues. And if you need further analyses, Isatis.neo gives you access to the power of Python functionalities and coding through its Calculator to generate your own variables and functions.
Make better decisions
Isatis.neo makes you benefit from Geovariances’ technical excellence in geostatistics. The software derives from robust, tried and tested Isatis software and 35 years of know-how in developing geostatistics-based software solutions in partnership with the French Mining School of Paris. With Isatis.neo, you are certain to hold the keys for data and risk-informed decision making.
Optimize your process
Our software users have all different skill levels in geostatistics. This is why we wanted Isatis.neo to be partly workflow-driven to give you the best and optimized way to your objectives. We have developed business-oriented pre-configured workflows for that purpose:
– Resources in Isatis.neo Mining Edition,
– Conversions & Uncertainties in Isatis.neo Petroleum Edition.
Hear from our customers
Geovariances is pleased to bring you a conversation with Daniel Guibal and Michael Cunningham, both long-time users of Isatis, now happy users of Isatis.neo. They recently used the software to provide a new JORC resource estimate of the Ausgold Katanning Gold Project.
"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."
"Great piece of software helping the Resource Geologist to investigate its dataset to take the best decision while estimating."
"I have had a chance to test some parts of Isatis.neo and am amazed at how the menus and many functionalities are nicely streamlined. Everything seems to be carefully and logically arranged, especially for new users. For the old Isatis users, I think it is just a matter of..."
"We've got excellent results with the clustering tool available in Isatis.neo. The domains created with Isatis.neo have been validated with the reconciliation of mined areas and the results of the technological studies."
Discover Isatis.neo at our upcoming events
Geovariances se complace en organizar un curso dedicado exclusivamente a las estudiantes universitarias.
A Universidade do Rio Grande do Sul e a Geovariances realizarão em parceria os cursos de pós-graduação em geoestatística
A Geovariances orgulha-se de ser parceira do Departamento de Engenharia de Minas da Universidade Federal do Rio Grande do Sul...
CFSG 2022: new online format, new teachers for the training program in geostatistics by the Paris School of Mines. Book your seat now!
The Geostatistics Team from MINES ParisTech and Geovariances partner together to offer a new CFSG online, their high-level training progra...
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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)
Utilisation d’un algorithme de classification par Machine Learning pour la caractérisation géomécanique des sols | CFMS 2020 - par Marie-Cecile Febvey
Data classification using geostatistical hierarchical clustering for robust and dynamic domaining
Multi-layer Reservoir Modeling | Presented in 2000 by J. Deraisme (Geovariances), O. Allen (Geovariances), D. Renard (Centre de Géostatistiques - ENSMP)
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
Spatio-temporal optimization of groundwater monitoring network at Pickering Nuclear Generating Station (video) | Pre-recorded video of a technical paper presented during Geostats 2021 | Yvon Desnoyers and Pedram Masoudi, Geovariances, Mike Grey, Kinectrics.
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
Spatial variability of soil nitrogen forms and the activity of N-cycle enzymes | J. Długosz, A. Piotrowska-Długosz
Space-Temporal Variation in Underground Water Some Quality Parameters in Klodzko Water Intake Area Using Statistical and Geostatistical Methods (SW Part of Poland)