Prediction of Bubble Point Pressure From Composition of Black Oils Using Artificial Neural Network-Reference-Cited by-同舟云学术

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Prediction of Bubble Point Pressure From Composition of Black Oils Using Artificial Neural Network

Published:2014-05-05 Issue:14 Volume:32 Page:1720-1728
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Al-Marhoun M. A.,Ali S. S.,Abdulraheem A.,Nizamuddin S.,Muhammadain A.

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

http://www.tandfonline.com/doi/pdf/10.1080/10916466.2012.707267

Reference16 articles.

1. PVT Correlations for Middle East Crude Oils

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4. Transparent open-box learning network and artificial neural network predictions of bubble-point pressure compared;Petroleum;2020-12

5. Determination of bubble point pressure and oil formation volume factor: Extra trees compared with LSSVM-CSA hybrid and ANFIS models;Fuel;2020-06

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