Chain-based machine learning for full PVT data prediction-Reference-Cited by-同舟云学术

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Chain-based machine learning for full PVT data prediction

Published:2022-01 Issue: Volume:208 Page:109658
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Ghorayeb Kassem^ORCID,Ahmed Mawlod Arwa,Maarouf Alaa^ORCID,Sami Qazi,El Droubi Nour^ORCID,Merrill Robert,El Jundi Obeida,Mustapha Hussein

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference76 articles.

1. Using Artificial Neural Networks to Develop New PVT Correlations for Saudi Crude Oils;Al-Marhoun,2002

2. A review of bubblepoint pressure and oil formation volume factor correlations;Al-Shammasi;SPE Reservoir Eval. Eng.,2001

3. Prediction of bubble point pressure using artificial intelligence ai techniques;Alakbari,2016

4. Random forests and decision trees;Ali;International Journal of Computer Science Issues (IJCSI),2012

5. Exploratory Analysis of Spatial and Temporal Data: a Systematic Approach;Andrienko,2006

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