Isatis is a general purpose and comprehensive software solution in geostatistics that allows addressing very different issues from various industries. First released almost 25 years ago, it is widely recognized as the reference geostatistical toolbox for thorough data analysis and visualization, quality mapping, accurate resource estimation and risk analysis. Isatis offers a robust and sound geostatistical technology which is continuously improved, year after year. Isatis connectivity with premier software packages makes it easy to integrate in your day-to-day workflow.

Get trusted results

Adopting Isatis means you take advantage of a tried and tested software solution by more than 5000 users from various industries, including mining, oil & gas and environment, but also a bunch of fields like hydrogeology, oceanography, forestry, agriculture or archeology. You enjoy efficient and reliable algorithms originating from the Center of Geostatistics (Mines ParisTech) and that have been benchmarked and constantly improved since Isatis 1st release.

Boost your productivity

You need to gain time with repetitive tasks. With Isatis, you benefit from an integrated environment in which all operations can be stored and reproduced in an automatic way. You are able to set up production workflows through scripting procedures that can be run in a click for a fast and easy updating of your models. Besides, Isatis optimized and parallelized algorithms make you save time on heavy computations.

Benefit from a leading technology

Your needs change over time. We are listening to your concerns and ideas and make Isatis continuously evolve. Each year, you enjoy innovative methodologies derived from our research consortia for enhanced geostatistical models. This is one reason why 95% of our customers renew their software maintenance contract year after year. Other ones are the top-level technical support provided and the free access to comprehensive technical resources.

Solve any problem, even the unusual ones

Your data is unique and your modeling objectives too. Isatis gives you access to the most exhaustive set of proven and state of the art geostatistical methodologies, with an impressive number of available kriging and simulations algorithms, giving you the means to address all your issues. And Isatis being a workflow-free flexible toolbox, it is easy for you to design your own process, standard or original.

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Hear from our customers

"Isatis maintenance contract gives us easy access to innovation which improve our day-to-day work and the possibility to guide the software developements according to our needs. Ore valorization, selective exploitation,..."

Monique Le Guen, Geology Department Manager Resources & Reserves - Eramet Nickel Division, France
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"O Isatis permite uma abordagem científica para a analíse exploratoria de dados, avaliação e classificação de recursos minerales que permite confiabilidade e consistencia."

Alessandro Henrique Medeiros Silva, Mineral Resources Evaluation Manager and Mine Geology - Americas - AngloGold Ashanti, Brasil
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"O Isatis é um software de geoestatística completo, o qual possui um pacote integrado de ferramentas em que nenhum outro disponível no mercado possui."

Gabriel NEGRINI, Senior Resource Geologist - Rio Tinto Exploration, Brasil
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"La razón fundamental para adquirir Isatis es que es el mejor paquete de software que existe hoy en día para realizar trabajos de geoestadística avanzada (co-kriging, co-simulación, etc.)."

Pablo Carrasco, Mineral Recources Geologist - GeoInnova, Chile
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"Para mí, Isatis es sinónimo de robustez, estabilidad y confianza. En ejecución de cualquier proceso, tengo la certeza de que cada etapa tiene una validación matemática y que los errores teóricos son eliminados."

Leonardo Hiram Núñez, Coordinator of Mineral Resources - Anglo American, Brasil
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Discover Isatis at our upcoming events


April 28, 2017

Discover Isatis 2017 new functionalities for kriging and sampling optimization and surface handling. And a new and smart way of classifyin...

January 12, 2017

Combine MPS and Flumy, Isatis application for channelized system modeling, to ensure model accuracy and realism. See the tests done for a ...

November 24, 2016

During Geostats2016, Mines ParisTech Geostatistics Group presented an innovative way, easy and quick to use, of classifying mineral resour...

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May 11, 2017 - 2:00 pm Paris time

Find out how Minestis automates sample classification into geological domains in an efficient and sound way, paving the way for reliable i...

May 11, 2017 - 15:30 pm Hora de París

Discubra como Minestis automatiza la clasificación de muestras en dominios geológicos de manera eficaz y robusta, sentando las bases par...

May 16-19, 2017

Join us for this unique opportunity to learn about the theoretical principles behind multivariate grade estimation, KNA and UC, and how th...

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Time to Depth Conversion

Time to depth conversion of geological surfaces is critical for structural model building. Quantifying the uncertainty attached to the conversion is also of primordial importance for assessing GRV uncertainties. Traditional velocity models used in time to depth conversion could benefit from geostatistical techniques used in data integration. The advantage of using geostatistical methods is that they fit the data in one step and allow quantifying the uncertainty attached to the prediction by mean of the generation of equiprobable realizations.

Through Geovariances long-lasting experience in geostatistical depth conversion studies, learn how geostatistics helps you improve the accuracy of your reservoir structural model and assess the uncertainties on surfaces.

Mapping with auxiliary data

Through this white paper, discover how you canimprove significantly map reliability and quality by incorporating various sources of information in the interpolation process.

This document details the different methods for assimilating various sources of information, taking into account the reliability of each source and how the uncertainty associated with any mapping result can be estimated and reduced.

Which block size for mineral resource estimation

A key aspect of mineral resource estimation (MRE) is the definition of the block dimensions used to estimate the deposit attributes.

A satisfactory compromise is to be found to get an estimate that allows making decisions upon volumes that are representative of the physical reality of the operation while being aware that the density of information available at the time of estimation probably does not warrant the direct estimation of such volumes.

Through this white paper, learn how to choose a relevant support size for mineral resource estimation.

Localized Multivariate Uniform Conditioning

Estimating tonnage and grade, from sparse data, at a mining scale resolution is a challenge. Uniform Conditioning (UC), provides a powerful approach to estimating recoverable resources at a local scale, i.e. predicting the local distributions of SMUs (selective mining units) within larger panels conditional to neighbouring information.

Through Geovariances long-lasting experience in applying UC (and now LMUC), learn how LMUC helps you optimise the accuracy of your predicted recoverable resource estimates and access the information you have available regarding recoveries predicted at the mining (SMU) scale.

Use of Simulations for Mining Applications

Linear Interpolation techniques like kriging are inappropriate to deal with issues that require a full characterisation of the spatial distribution. The simulations provide a huge flexibility to deal with the complexity of the mining process and an access to the uncertainty assessment.

Through Geovariances multiple experiences in developing successfully various simulation strategies in different environments (kimberlite pipes, turbiditic and carbonate reservoirs, porphyry copper, alteration and hydrothermal type deposits), learn how geostatistical simulations can help in resource estimation and classification.

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