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Software

Sector All Bioresources Energy Environment Mining Subsurface

Software All Isatis.neo Kartotrak

Type All Conferences Users meeting Webinars Workshops

Mining Isatis.neo Conferences

Geovariances is to talk for the first time at DIGMIN 2025

Mining

Discover how advanced multivariate geostatistics techniques combined with machine learning can unlock smarter mineral resource modeling. Sept. 12-13, 2025.

September 12–13, 2025 Read more

Coherent modeling of mineral grades and zones by coupling cokriging and Support Vector Machine

Mining Isatis.neo Publications

30 August 2025

Coherent modeling of mineral grades and zones by coupling cokriging and Support Vector Machine

Mining

This technical paper explores the complementary use of geostatistics and machine learning for mineral resource modeling, particularly when complex categorical variables make traditional geostatistical workflows difficult to manage....

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Mining Isatis.neo Conferences

Geovariances gives a technical presentation at MMME’2025 Paris

Mining

Discover how advanced multivariate geostatistics techniques combined with machine learning can unlock smarter mineral resource modeling. August 19, 2025

August 19, 2025 Read more

Using multiple-point geostatistics for geomodeling of a vein-type gold deposit

Mining Isatis.neo Publications

25 September 2024

Using multiple-point geostatistics for geomodeling of a vein-type gold deposit

Mining

Vein-type gold deposits are notoriously hard to model: narrow, long-range structures with sparse drill-hole data defeat conventional two-point geostatistics. This study from Nazarbayev University and the University of...

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Plurigaussian conditional simulation (PGS) of the Budenovskoe uranium roll-front deposit, central Kazakhstan: 3D model of the host sedimentary sequence

Mining Publications

1 December 2023

Plurigaussian conditional simulation (PGS) of the Budenovskoe uranium roll-front deposit, central Kazakhstan: 3D model of the host sedimentary sequence

Mining

Subjective lithology picks are always the weak link. This paper shows PGS + SGS constraining Budenovskoe's roll-front geology to hard data instead.

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