Investigating the Predictive Performance of Gaussian Process Regression in Evaluating Reservoir Porosity and Permeability

Investigating the Predictive Performance of Gaussian Process Regression in Evaluating Reservoir Porosity and Permeability

In this paper, a new predictive model based on Gaussian process regression (GPR) that does not require iterative tuning of user-defined model parameters has been proposed to determine reservoir porosity and permeability. For this purpose, the capability of GPR was appraised statistically for predict...

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Bibliographic Details
Main Authors: Solomon Asante-Okyere, Chuanbo Shen, Yao Yevenyo Ziggah, Mercy Moses Rulegeya, Xiangfeng Zhu
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
Gaussian process regression
porosity
permeability
artificial neural network
Online Access:https://www.mdpi.com/1996-1073/11/12/3261

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https://www.mdpi.com/1996-1073/11/12/3261

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