Isatis.neo | Geostatistics made accessible

Go Beyond Geostatistics with Isatis.neo

Unleash the full power of your spatial data with Isatis.neo, the most advanced and comprehensive geostatistical software available today.

Isatis.neo empowers you to explore, analyze, and visualize your data with unmatched precision. Build robust, high-confidence models, generate insightful and impactful maps, and perform sophisticated uncertainty analyses to support confident, data-driven decisions.

Trusted across industries, Isatis.neo is transforming spatial data workflows in:
Mining: Optimize resource estimation and mine planning with greater certainty and precision.
Oil & Gas: Enhance reservoir modeling and deepen your understanding of uncertainties to maximize production efficiency.
Subsurface and Geological Surveys: Accurately assess subsurface conditions to inform construction and energy infrastructure projects.
Bioresources: Improve sustainable management of fish stocks, forests, and other natural resources.
Air Quality Monitoring: Strengthen environmental risk analysis and human exposure models through more accurate and reliable spatial modeling.

 

Why choose Isatis.neo

– Simplify complex geostatistics — Isatis.neo transforms intricate geostatistical processes into streamlined workflows, enabling you to focus on insights rather than software complexities.
– Tailored for your industry Available in Standard, Mining, and Petroleum editions, Isatis.neo addresses specific industry needs with specialized tools. A preconfigured workflow enables efficient seismic time-to-depth conversion with comprehensive uncertainty analysis.
– Leverage cutting-edge technology With advanced algorithms and machine learning integration, Isatis.neo ensures high-performance analysis and modeling.

Key features

– Intuitive interface User-friendly design for efficient navigation and operation.
– Comprehensive toolset From exploratory data analysis to advanced simulations.
– Automation & customization Automate tasks and customize workflows with Python scripting.
– High compatibility Supports various data formats and integrates seamlessly with other software.
– Robust reporting Generate detailed reports with integrated word processing tools.
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Hear from our customers

"I use Isatis.neo to validate block models generated with other software. I also like its specific tools, such as Flattening, which I used to rotate a vein and allowed me to increase kriging efficiency from 40% to 70%."


Antonio Umpire, Unit Manager Group Resource Estimation & Reporting - SIBANYE-STILLWATER
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"He vuelto a encantarme con Isatis.neo, conociendo sus herramientas cada vez más poderosas en simulaciones y con una grafica mejorada /// I am happy with Isatis.neo's continued performance. I have found its simulation tools to be increasingly powerful, with improved graphics."


Ricardo Líbano Granada, Geólogo Senior de Recursos - Antofagasta Minerals
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“O recurso mineral de 2023, estimado pelo Isatis.neo, aumentou Life of Mine e o valor dos ativos minerais da EuroChem /// The 2023 mineral resource, estimated through Isatis.neo, increased Life of Mine and Eurochem's mineral asset value.”


Rodrigo De Andrade Miotto, Specialist Geologist - Mining resources - EuroChem
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"Con Isatis.neo, usted puede implementar rápidamente flujos de trabajo en proyectos con múltiples dominios y variables a modelar /// With Isatis.neo, you can quickly implement workflows in projects involving multiple domains and variables."


Sergio Igancio Salinas Rozas, Geologist – Geostatistician - GeoEstima
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"I have used Isatis.neo full on for a big multi-domain multi-element model from compositing to reporting, using gaussian and raw, multiple block sizes, etc. and I’m very impressed. Fast migrations, fast estimation, good reporting, validation, and visualization functionality."


Danny Kentwell, Principal Consultant (Resource Evaluation) - SRK Consulting
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Discover Isatis.neo at our upcoming events

News

April 29, 2025

Join us to see how geostatistics and Machine Learning are combined to solve complex challenges in mineral resource modeling.

October 14, 2024

Enroll in CFSG, the online specialized training cycle in mining geostatistics, learn from the mining geostatistics experts and acquire the...

February 20, 2024

Explorez le potentiel de la géostatistique pour l'estimation et la classification des ressources minérales. Découvrez les meilleures pr...



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Events

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Resources

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Use of Simulations for Mining Applications

Linear interpolation techniques – such as kriging – are inappropriate for dealing with issues that require a full characterization of spatial distribution (for example, probability of exceeding a threshold, variability of a product per mining period, recoverable resources at various cut-offs, etc.).

Only conditional simulations reproduce the true variability of your orebody. They are flexible in their application to complex mining processes and uncertainty assessment.

Through Geovariances’ multiple experiences in developing a variety of simulation strategies in different environments: kimberlite pipes, turbiditic and carbonate reservoirs, porphyry copper, alteration and hyd,rothermal type deposits, learn how geostatistical simulations can help in resource estimation and classification.

Hydrogeological Facies Modeling

Stochastic Methods for geological modeling and links with fluid flow simulations

Whatever the application domain – oil & gas production, aquifer pollution characterization, uranium production by lixiviation – characterizing the geological parameters and capturing their variability is essential to ensure realistic flow modeling…

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.

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