• A neural network approach for spatial variation assessment – A nepheline syenite case study 

      Mena Silva, Camilo Andres; Ellefmo, Steinar Løve; Sandøy, Roar; Sørensen, Bjørn Eske; Aasly, Kurt (Journal article; Peer reviewed, 2020)
      The present geometallurgical study shows the application of a machine-learning methodology to the prediction of material properties from the Nabbaren nepheline syenite deposit in Norway. The approach used in this study ...
    • Geometallurgical Modelling of the Stjernøya Nepheline Syenite Mine 

      Silva, Camilo Andrés Mena (Doctoral theses at NTNU;2019:385, Doctoral thesis, 2019)
      The present study applies the concept of geometallurgy to an industrial mineral case study. Geometallurgy is a holistic discipline conveying different aspects of geology, mineral processing and mining together to improve ...
    • Guidelines and best available techniques for submarine tailings disposal in Norwegian fjords: Recommendations from the NYKOS project 

      Ramirez-Llodra, Eva; Andersen, Guri Sogn; Bekkby, Trine; Brooks, Steven; Escudero-Oñate, Carlos; Gundersen, Hege; Schaanning, Morten; Trannum, Hilde Cecilie; Yakushev, Evgeniy; Baeten, Nicole; Lepland, Aivo; Ibragimova, Olga; Kleiv, Rolf Arne; Nepstad, Raymond; Muñoz, María; Høgaas, Helge; Sandøy, Roar (NIVA-rapport;, Research report, 2019)
      The NYKOS project aimed at addressing some of the main knowledge gaps on the environmental impacts of submarine tailing disposal (STD) to facilitate the development of techniques, practices and management measures that ...