A non-destructive alternative for kerogen type determination in potential hydrocarbon source rocks using hyperspectral data and machine learning

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• who: Tainá T. Guimarães and collaborators from the (UNIVERSITY) have published the research work: A non-destructive alternative for kerogen type determination in potential hydrocarbon source rocks using hyperspectral data and machine learning, in the Journal: (JOURNAL)
• what: The use of machine_learning (ML) techniques has been explored for the analysis of hyperspectral data as it can perform fast and objective analyses, improving the accuracy and robustness of the models created compared to traditional methods -[21]. As support for the application of the models in hyperspectral images and their subsequent visualization, it were used the . . .
  

   

  

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