Data-Driven Approaches to Predict Thermal Maturity Indices of Organic Matter Using Artificial Neural Networks

[Image: see text] Prediction of thermal maturity index parameters in organic shales plays a critical role in defining the hydrocarbon prospect and proper economic evaluation of the field. Hydrocarbon potential in shales is evaluated using the percentage of organic indices such as total organic carbo...

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Detalles Bibliográficos
Autores principales: Tariq, Zeeshan, Mahmoud, Mohamed, Abouelresh, Mohamed, Abdulraheem, Abdulazeez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864083/
https://www.ncbi.nlm.nih.gov/pubmed/33564733
http://dx.doi.org/10.1021/acsomega.0c03751

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864083/
https://www.ncbi.nlm.nih.gov/pubmed/33564733
http://dx.doi.org/10.1021/acsomega.0c03751

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