Machine Learning-Based Real-Time Prediction of Formation Lithology and Tops Using Drilling Parameters with a Web App Integration

Machine Learning-Based Real-Time Prediction of Formation Lithology and Tops Using Drilling Parameters with a Web App Integration

The accurate prediction of underground formation lithology class and tops is a critical challenge in the oil industry. This paper presents a machine-learning (ML) approach to predict lithology from drilling data, offering real-time litho-facies identification. The ML model, applied via the web app “...

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Bibliographic Details
Main Authors: Houdaifa Khalifa, Olusegun Stanley Tomomewo, Uchenna Frank Ndulue, Badr Eddine Berrehal
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Eng
Subjects:
lithology prediction
machine learning
drilling data
optimized geosteering
Online Access:https://www.mdpi.com/2673-4117/4/3/139

Internet

https://www.mdpi.com/2673-4117/4/3/139

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