NMR log response prediction from conventional petrophysical logs with XGBoost-PSO framework-Reference-Cited by-同舟云学术

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NMR log response prediction from conventional petrophysical logs with XGBoost-PSO framework

Published:2023-05 Issue: Volume:224 Page:211561
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Liu Bo,Rostamian Auref,Kheirollahi Mahdi,Mirseyed Seyyedeh Forough,Mohammadian Erfan,Golsanami Naser,Liu Kouqi,Ostadhassan Mehdi

Funder

Natural Science Foundation of Heilongjiang Province

Publisher

Elsevier BV

Reference51 articles.

1. Cluster analysis of petrophysical and geological parameters for separating the electrofacies of a gas carbonate reservoir sequence;Abdideh;Nat. Resour. Res.,2020

2. Modeling reference fracture pressures to design hydraulic fracture operations using well logging data;Abdideh;Model Earth Syst Environ,2021

3. South Pars Gas Field and Iran's Economy and Energy Future;Afshar,2016

4. Uncertainty of Porosity Measurement Correlations Using NMR and Conventional Logging in Carbonate Reservoirs;Al-Kharaa,2014

5. Synthesize nuclear magnetic resonance T2 spectrum from conventional logging responses with spectrum regression forest;Ao;Geosci. Rem. Sens. Lett. IEEE,2021

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