Fast Reservoir Characterization with AI-Based Lithology Prediction Using Drill Cuttings Images and Noisy Labels

In this paper, we considered one of the problems that arise during drilling automation, namely the automation of lithology identification from drill cuttings images. Usually, this work is performed by experienced geologists, but this is a tedious and subjective process. Drill cuttings are the cheape...

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Detalles Bibliográficos
Autores principales: Tolstaya, Ekaterina, Shakirov, Anuar, Mezghani, Mokhles, Safonov, Sergey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381372/
https://www.ncbi.nlm.nih.gov/pubmed/37504803
http://dx.doi.org/10.3390/jimaging9070126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381372/
https://www.ncbi.nlm.nih.gov/pubmed/37504803
http://dx.doi.org/10.3390/jimaging9070126

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