Isatis | the Reference software in geostatistics
*** Note that Isatis is now replaced by Isatis.neo, Geovariances’ most recent software solution for geostatistics. Click for more info. ***
Isatis is the most comprehensive and advanced general-purpose geostatistics toolkit. First released 25 years ago, it is widely recognized as the reference geostatistical software solution.
Isatis addresses very different issues from various industries, enabling thorough data analysis and visualization, quality mapping, accurate resource estimation, advanced geomodeling, risk analysis. It offers a robust and sound geostatistical technology that is continuously improved, year after year.
Isatis connectivity with premier software packages makes it easy to integrate into 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.
Hear from our customers
Discover Isatis at our upcoming events
Resources
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Flumy, Reservoir geological model for meandering channelized systems
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3D Facies Proportions in Isatis
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Isatis, Software de Geoestadística para una Mejor Estimación de Recursos Mineros
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Isatis, La Geoestadística para Ingenieros Mineros y Geólogos
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Isatis, Geostatistics for Mining Engineers and Geologists
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Co-kriging of log ratios: a worked alternative method | Clint Ward, Cliffs, Ute Mueller ECU
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Local Uncertainty Benchmarking – A coal case study | Written by C. Mawdesley, D. Barry, O. Bertoli and R. Saha
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Sensitivity study of the estimation variance approximation of a quotient | Comparison with Conditional Simulations in the Mn Deposit of Bangombé (Gabon)
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Key Functionalities new module Studio RM 2016 | Presented by Olivier Bertoli at the UC2016 event organized in the UK by Datamine
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Fitting cross-variogram models and Pesky negative Eigen values | David Barry, Geovariances
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Utilisation d’un algorithme de classification par Machine Learning pour la caractérisation géomécanique des sols | CFMS 2020 Marie-Cecile Febvey Utilisation d'un algorithme de classification par machine learning pour la caractérisation géomecanique.pdf
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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
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Application of Pluri-Gaussian simulations and conditional simulation for geological modelling and estimation of a nickel deposit in New Caledonia | Febvey, M C, Desassis, N, Le Guen, M and Isatelle, F, 2019 - Proceedings Mining Geology 2019, pp 135–149 (The Australasian Institute of Mining and Metallurgy: Melbourne)
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Geostatiscal Analysis of Meandering Processes and Channel Migration: Case Study of Modern Analogues for the Long Nab Member, Scalby Formation, Yorkshire, UK | Example of Flumy use
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Interpolation of GPS and Geological Data Using InSAR Deformation Maps: Method and Application to Land Subsidence in the Alto Guadalentín Aquifer (SE Spain) | Remote Sens. 2016, 8, 965; doi:10.3390/rs8110965 | www.mdpi.com/journal/remotesensing | Keywords: InSAR; aquifer; subsidence; interpolation; kriging with external drift