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In 2023, EMerald Geomodelling was hired by VALE S/A, the largest mining company in South America, to accurately characterize the real geological conditions of a planned railway route. EMerald Geomodelling interpreted a bedrock surface and developed mechanical and grain size classification models for the FICO railway project in Brazil.

EMerald Geomodelling assisted NHIDCL in conducting geoscanning surveys to unveil ground conditions in the alpine regions of India.

Nye Veier received assistance from Emerald Geomodelling before building and designing the new highway between Kvithammer and Åsen. Using airborne geoscanning, EMerald Geomodelling was able to collect data for large areas in a short amount of time, saving the project an estimated 250 million NOK.

In 2021, EMerald Geomodelling was engaged by RUMO Logística, the largest railway company in South America, to accurately characterize the real geological conditions of the planned railway route. By using both geophysical data and existing data combined with EMerald Geomodellings proprietory machine learning software, EMerald could provide RUMO with suggestions of where to focus their follow-up investigations.

The Flåm valley is a large and unstable area that is difficult to assess and that appears to be driven by a deep-seated sliding mechanism. The municipality and regional hydroelectric company E-CO Vannkraft were evaluating the potential of draining the unstable area to a nearby hydropower reservoir. EMerald Geomodelling was engaged to provide further geophysical inputs.

Back in 2013, First Quantum Minerals Ltd (FQML) collected geophysical data to map the depth of saprolite and to characterize mineral deposits in relation to a mining project in Panama. EMerald Geomodelling assisted FQML in their project by using the unique interface detection algorithm to generate a detailed model showing the interface between saprolite and hard rock, providing inputs into saprolite elevation and resistivity.