Filling-well: An effective technique to handle incomplete well-log data for lithology classification using machine learning algorithms

Lithology classification is crucial for efficient and sustainable resource exploration in the oil and gas industry. Missing values in well-log data, such as Gamma Ray (GR), Neutron Porosity (NPHI), Bulk Density (RHOB), Deep Resistivity (RS), Delta Time Compressional (DTCO), Delta Time Shear (DTSM),...

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Bibliographic Details

Published in:	MethodsX
Main Authors:	Sherly Ardhya Garini, Ary Mazharuddin Shiddiqi, Widya Utama, Alif Nurdien Fitrah Insani
Format:	Article
Language:	English
Published:	Elsevier 2025-06-01
Subjects:	Lithology classification Machine learning Missing values Well log
Online Access:	http://www.sciencedirect.com/science/article/pii/S2215016124005788