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Artificial Intelligent Approaches in Petroleum Geosciences

Overview of attention for book
Attention for Chapter 5: On Support Vector Regression to Predict Poisson’s Ratio and Young’s Modulus of Reservoir Rock
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Citations

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Chapter title
On Support Vector Regression to Predict Poisson’s Ratio and Young’s Modulus of Reservoir Rock
Chapter number 5
Book title
Artificial Intelligent Approaches in Petroleum Geosciences
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-16531-8_5
Book ISBNs
978-3-31-916530-1, 978-3-31-916531-8
Authors

A. F. Al-Anazi, I. D. Gates, Al-Anazi, A. F., Gates, I. D.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Other 2 33%
Professor 1 17%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Researcher 1 17%
Other 0 0%
Readers by discipline Count As %
Energy 2 33%
Environmental Science 1 17%
Chemical Engineering 1 17%
Earth and Planetary Sciences 1 17%
Engineering 1 17%
Other 0 0%