Quantitative Prediction of Rock Pore-Throat Radius Based on Deep Neural Network

Quantitative Prediction of Rock Pore-Throat Radius Based on Deep Neural Network

Pore-throat radius is one of the key parameters that characterizes the microscopic pore structure of rock, which has an important impact on oil-gas seepage and the prediction of remaining oil’s microscopic distribution. Currently, the quantitative characterization of a pore-throat radius mainly reli...

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Bibliographic Details
Main Authors: Yao Hong, Shunming Li, Hongliang Wang, Pengcheng Liu, Yuan Cao
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Energies
Subjects:
pore-throat radius
deep neural network
hyperparameter optimization
J-function
quantitative characterization
Online Access:https://www.mdpi.com/1996-1073/16/21/7277

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https://www.mdpi.com/1996-1073/16/21/7277

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