A new and reliable dual model- and data-driven TOC prediction concept: A TOC logging evaluation method using multiple overlapping methods integrated with semi-supervised deep learning

Title
A new and reliable dual model- and data-driven TOC prediction concept: A TOC logging evaluation method using multiple overlapping methods integrated with semi-supervised deep learning
Authors
Keywords
Dual model- and data-driven, Total organic carbon content, Deep learning, Integrated deep semi-supervised ladder network, Novel idea, Multiple overlapping methods
Journal
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
Volume 188, Issue -, Pages 106944
Publisher
Elsevier BV
Online
2020-01-14
DOI
10.1016/j.petrol.2020.106944

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