Comparison of Machine Learning Algorithms for Sand Production Prediction: An Example for a Gas-Hydrate-Bearing Sand Case

Comparison of Machine Learning Algorithms for Sand Production Prediction: An Example for a Gas-Hydrate-Bearing Sand Case

This paper demonstrates the applicability of machine learning algorithms in sand production problems with natural gas hydrate (NGH)-bearing sands, which have been regarded as a grave concern for commercialization. The sanding problem hinders the commercial exploration of NGH reservoirs. The common s...

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Bibliographic Details
Main Authors: Jinze Song, Yuhao Li, Shuai Liu, Youming Xiong, Weixin Pang, Yufa He, Yaxi Mu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
sand production prediction
natural gas hydrates
machine learning
k-nearest neighbor
support vector regression
boosting tree
Online Access:https://www.mdpi.com/1996-1073/15/18/6509

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https://www.mdpi.com/1996-1073/15/18/6509

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