Prediction of permeability in a tight sandstone reservoir using a gated network stacking model driven by data and physical models

Introduction: Permeability is one of the most important parameters for reservoir evaluation. It is commonly measured in laboratories using underground core samples. However, it cannot describe the entire reservoir because of the limited number of cores. Therefore, petrophysicists use well logs to es...

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Bibliographic Details

Published in:	Frontiers in Earth Science
Main Authors:	Pengyu Shi, Pengda Shi, Kang Bie, Chuang Han, Xiaowei Ni, Zhiqiang Mao, Peiqiang Zhao
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Subjects:	machine learning ensemble model gate network tight sandstone reservoir permeability prediction
Online Access:	https://www.frontiersin.org/articles/10.3389/feart.2024.1364515/full