Isatis.neo tutorial #8: Kriging and validation
Mining
A resource model is only as valuable as the confidence you can place in its estimates. This episode 8th offers a clear, hands-on look at one of the...
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A resource model is only as valuable as the confidence you can place in its estimates. This episode 8th offers a clear, hands-on look at one of the...
From scattered sample points to a continuous model, this is where your data begins to take shape. A practical introduction in this 7th tutorial to one of the...
A reliable geostatistical estimate starts with a variogram model that accurately represents spatial continuity. This tutorial 6 builds directly on Episode 5, which explains how to calculate and...
Understanding spatial continuity begins with the variogram. It is the 5th video of a “step by step” series of 9 follow the workflow in Isatis.neo and build a...
This episode shows you, in a quick and very practical way, how to achieve relevant data declustering based on statistics to correct possible spatial sampling bias.
In this practical episode, learn how to use statistical declustering to identify and correct spatial sampling bias caused by unevenly distributed or clustered data. It is the third...
In this video, learn how to analyze drillhole sample lengths and apply length regularization, or compositing, to improve estimation quality and reduce potential bias. Compositing can be performed...
This is episode shows you, in a quick and very practical way, how to start working with Isatis.neo, create a project, and import drill hole data. It is...
Maxwell GeoSystems is a software company that develops a platform dedicated to construction data management, display, and interpretation. As a data specialist, Maxwell GeoSystems aims to give clients the best interpretation of their data to reduce risk and improve construction performance. They recently integrated geostatistics with Isatis.neo into their modeling process to quantify and communicate […]
To test the relevance of the geostatistical approach in the field of geotechnics, Eiffage Génie Civil Marine, a specialist in the construction of major port and maritime projects, asked Geovariances to produce a subsurface model for an existing project to compare with the model generated using their usual tools. The results proved more than convincing. […]
Geological domaining is a crucial step in resource modeling. However, domains can be challenging to identify when grade populations are too intricate. Sibanye-Stillwater faced one such challenge for a PGM (platinum group metals) deposit with complex low-grade and very high-grade zones and several faults. They used the Isatis.neo clustering tool to address it, combining grades […]
Faced with sparse drilling data in the northern extension of its Rodoretto talc mine, Imerys leveraged the advanced simulation capabilities of Isatis.neo, first using multiple-point statistics (MPS) and then plurigaussian simulations (PGS), to model lithologies and grades, with methodological support from Geovariances.