Rock type classification based on petrophysical, geochemical, and core imaging data using machine and deep learning techniques

Rock type classification is one of the most crucial steps of geological and geotechnical core logging. In conventional core logging, rock type classification is subjective and time-consuming. This study aims to automate rock type classification using Machine Learning (ML). About 35 m of core samples...

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Bibliographic Details
Main Authors: Negin Houshmand, Sebastian GoodFellow, Kamran Esmaeili, Juan Carlos Ordóñez Calderón
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Applied Computing and Geosciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S259019742200026X