Oil Family Typing Using a Hybrid Model of Self-Organizing Maps and Artificial Neural Networks

[Image: see text] Identifying the number of oil families in petroleum basins provides practical and valuable information in petroleum geochemistry studies from exploration to development. Oil family grouping helps us track migration pathways, identify the number of active source rock(s), and examine...

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Detalles Bibliográficos
Autores principales: Safaei-Farouji, Majid, Band, Shahab S., Mosavi, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017107/
https://www.ncbi.nlm.nih.gov/pubmed/35449927
http://dx.doi.org/10.1021/acsomega.1c05811

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017107/
https://www.ncbi.nlm.nih.gov/pubmed/35449927
http://dx.doi.org/10.1021/acsomega.1c05811

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