Permeability Prediction of Carbonate Reservoir Based on Nuclear Magnetic Resonance (NMR) Logging and Machine Learning

Permeability Prediction of Carbonate Reservoir Based on Nuclear Magnetic Resonance (NMR) Logging and Machine Learning

Reservoir permeability is an important parameter for reservoir characterization and the estimation of current and future production from hydrocarbon reservoirs. Logging data is an important means of evaluating the continuous permeability curve of the whole well section. Nuclear magnetic resonance lo...

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Bibliographic Details
Main Authors: Jianpeng Zhao, Qi Wang, Wei Rong, Jingbo Zeng, Yawen Ren, Hui Chen
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Energies
Subjects:
machine learning
permeability prediction
carbonate reservoir
NMR logging
XGBoost method
Online Access:https://www.mdpi.com/1996-1073/17/6/1458

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