Application of LS-SVM Classifier to Determine Stability State of Asphaltene in Oilfields by Utilizing SARA Fractions
Author:
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/10.1080/10916466.2011.651237
Reference28 articles.
1. DIBSOLUTION OF SOLID BOBCAN ASPHALTENES IN MIXED SOLVENTS.
2. Measurement and Modeling of Asphaltene Precipitation (includes associated paper 23831 )
3. A novel technique for screening of asphaltene deposition by the pattern recognition method
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2. Machine Learning Models for Predicting Asphaltene Stability Based on Saturates-Aromatics-Resins-Asphaltenes;SPE Journal;2023-03-06
3. Determination of Asphaltene Stability in Crude Oils Using a Deposit Level Test Coupled with a Spot Test: A Simple and Qualitative Approach;ACS Omega;2022-04-15
4. Performance of asphaltene stability predicting models in field environment and development of new stability predicting model (ANJIS);Journal of Petroleum Exploration and Production Technology;2021-12-07
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