Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: 1 Online-Ressource.
• Language: Englisch

References and Relationships

• Bibliographic citation: Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects ; volume:10 ; number:1 ; day:2 ; month:12 ; year:2024 ; pages:1-31 ; date:12.2024 ; Geomechanics and geophysics for geo-energy and geo-resources ; 10, Heft 1 (2.12.2024), 1-31, 12.2024

Contributors, Places and Time

• Creator: Davy, Nandito ; El-Husseiny, Ammar ; Waheed, Umair bin ; Ayranci, Korhan ; Fawad, Manzar ; Mahmoud, Mohamed ; Harris, Nicholas B.
• Contributor: SpringerLink (Online service)

Further information

• DOI: 10.1007/s40948-024-00904-4
• URN: urn:nbn:de:101:1-2502162217026.174615015624
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:34 AM CEST