Lithofacies and stratigraphy prediction methodology exploiting an optimized nearest-neighbour algorithm to mine well-log data

Author:

Wood David A.ORCID

Publisher

Elsevier BV

Subject

Stratigraphy,Economic Geology,Geology,Geophysics,Oceanography

Reference58 articles.

1. A machine learning benchmark for facies classification;Alaudah;SEG Interpret. J.,2019

2. Integrating K-means clustering analysis and generalized additive model for efficient reservoir characterization;Al-Mudhafar,2015

3. Integrating well log interpretations for lithofacies classification and permeability modeling through advanced machine learning algorithms;Al-Mudhafar;J. Petrol. Explor. Prod. Technol.,2017

4. Integrating kernel support vector machines for efficient rock facies classification in the main pay of Zubair formation in South Rumaila oil field, Iraq;Al-Mudhafar;Model. Earth Syst. Environ.,2018

5. An introduction to kernel and nearest-neighbor nonparametric regression;Altman;Am. Stat.,1992

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