An innovative MPS approach for realistic geological models… and much more
Energy
See how MPS and Isatis.neo's DeeSse algorithm capture true geological realism — channels, facies, connectivity. Live webinar, July 10, 2026.
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See how MPS and Isatis.neo's DeeSse algorithm capture true geological realism — channels, facies, connectivity. Live webinar, July 10, 2026.
Sparse 2D seismic data leave gaps that deterministic interpolation can't fill. This study builds a 3D probabilistic ground model instead from multiple geostatistical realizations.
Build realistic geological models that reflect complexity and uncertainty. Apply indicator kriging, SIS, TGS, PGS, and implicit modeling through hands-on workflows in Isatis.neo.
3 days EUR 1,650
Put machine learning to work on real geoscience and mining challenges. Build, evaluate and apply classification and regression models by connecting scikit-learn with Isatis.neo.
3 days EUR 1,650
Turn spatial data into sound decisions. Learn to analyze datasets, map surfaces, model subsurface properties and quantify uncertainty with practical geostatistical workflows.
2 days EUR 1,100
Maxwell GeoSystems is a software company that develops a platform dedicated to construction data management, display, and interpretation. As a data specialist, Maxwell GeoSystems’ mission is to give their clients the best interpretation of their data to reduce risk and improve construction performance. They recently integrated geostatistics with Isatis.neo in their modeling process to quantify […]
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. […]
How likely is a -40°C event in northern Quebec over the next decade? This study, co-authored by Geovariances, answers with numbers instead of guesses — using a five-step...
Geotechnical site investigations are costly and often unavailable at every planned turbine position. This study, co-authored by Geovariances, shows how combining CPT data with seismic information through geostatistical...
Rain doesn't fall evenly, and sparse weather station coverage makes it hard to forecast. This study, by Geovariances and Hydro-Québec, splits the problem into "does it rain" and...
Geotechnical parameters like CPT resistance depend on which stratigraphic layer they sit in, so modeling them without anchoring to the stratigraphy risks getting both the estimate and its...