Lithology identification using semantic segmentation for well log data

Abstract In the past decade, machine learning techniques were responsible for a revolution in classification and regression tasks, making it possible to automate some laborious activities, saving time and reducing errors. It is known that the geological logging process is one of the most time-consum...

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Bibliographic Details

Published in:	REM: International Engineering Journal
Main Authors:	Áttila Leães Rodrigues, Fernanda Gontijo Fernandes Niquini, Sandro Pinzon, João Felipe Coimbra Leite Costa
Format:	Article
Language:	English
Published:	Fundação Gorceix 2024-07-01
Subjects:	well log data lithology identification machine learning semantic segmentation Fully Convolutional Networks.
Online Access:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2024000300500&lng=en&tlng=en