Machine learning assisted Kriging to capture spatial variability in petrophysical property modelling-Reference-Cited by-同舟云学术

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Machine learning assisted Kriging to capture spatial variability in petrophysical property modelling

Published:2024-09 Issue: Volume:167 Page:106967
ISSN:0264-8172
Container-title:Marine and Petroleum Geology
language:en
Short-container-title:Marine and Petroleum Geology

Author:

Mohammadpour Mobarakeh,Roshan Hamid,Arashpour Mehrdad,Masoumi Hossein^ORCID

Publisher

Elsevier BV

Reference64 articles.

1. Estimating rock mechanical properties of the Zubair shale formation using a sonic wireline log and core analysis;Abbas;J. Nat. Gas Sci. Eng.,2018

2. Permeability prediction and diagenesis in tight carbonates using machine learning techniques;Al Khalifah;Mar. Petrol. Geol.,2020

3. Investigating the dependence of shear wave velocity on petrophysical parameters;Al-Dousari;J. Petrol. Sci. Eng.,2016

4. Analysis of deterministic and geostatistical interpolation techniques for mapping meteorological variables at large watershed scales;Amini;Acta Geophys.,2019

5. Machine learning technique for the prediction of shear wave velocity using petrophysical logs;Anemangely;J. Petrol. Sci. Eng.,2019

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