Isatis.neo | Geostatistics made accessible
Isatis.neo is Geovariances’ brand new generation software in geostatistics. We have developed it with only one objective in mind: to provide our customers with all the geostatistics they are used to find in Isatis in a much smarter software solution. The goal is met: with its innovative and intuitive user interface, Isatis.neo makes geostatistics as accessible as possible while leaving users completely in control of their work.
Isatis.neo is a general-purpose and comprehensive geostatistics software solution designed for every industry and everyone dealing with spatialized data. It has all the features you need for thorough data analysis and visualization, quality mapping and modeling and quantified uncertainty analysis.
A tailored version of Isatis.neo (Petroleum Edition) is available to best meet the specific requirements of the upstream Oil & Gas industry. This version addresses more specifically reservoir modeling issues. It also offers a powerful and innovative workflow for time-to-depth conversion allowing the most comprehensive analysis of spill-points and reservoir volumes with a large focus on uncertainty analysis: Conversions & Uncertainties Workflow.
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 30 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. The first one is available in the Petroleum Edition and is designed to meet geophysicists’ depth conversion issues.
Hear from our customers
Discover Isatis.neo at our upcoming events
Events
Resources
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.
Data Quality Control
Before starting an evaluation of the contamination leading to decision-making tools for site clean-up, it is essential to ensure data quality. Thus, based on solid and reliable foundations, uncertainties occurring during the different steps of the decision process will be better controlled and the final quality of the project improved.
The objective of this white paper is to assess at best the validity of the data through visual, statistical and geostatistical basic tools before going further into their analysis.
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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
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Spatial variability of soil nitrogen forms and the activity of N-cycle enzymes | J. Długosz, A. Piotrowska-Długosz
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Space-Temporal Variation in Underground Water Some Quality Parameters in Klodzko Water Intake Area Using Statistical and Geostatistical Methods (SW Part of Poland)
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Mapping with Auxiliary Data of Varying Accuracy
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Geostatistical Studies of Space-Temporal Variation in Selected Quality Parameters in Klodzko Water Supply System (SW Part of Poland)