New Computational Artificial Intelligence Models for Generating Synthetic Formation Bulk Density Logs While Drilling

New Computational Artificial Intelligence Models for Generating Synthetic Formation Bulk Density Logs While Drilling

Synthetic well log generation using artificial intelligence tools is a robust solution for situations in which logging data are not available or are partially lost. Formation bulk density (RHOB) logging data greatly assist in identifying downhole formations. These data are measured in the field whil...

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Bibliographic Details
Main Authors: Ahmed Gowida, Salaheldin Elkatatny, Saad Al-Afnan, Abdulazeez Abdulraheem
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sustainability
Subjects:
bulk density
functional networks
support vector machine
fuzzy logic
mechanical drilling parameters
logging
Online Access:https://www.mdpi.com/2071-1050/12/2/686

Internet

https://www.mdpi.com/2071-1050/12/2/686

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