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Original Articles

A CSA-LSSVM Model to Estimate Diluted Heavy Oil Viscosity in the Presence of Kerosene

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Faisal Aladwani & Adel Elsharkawy. (2023) Improved prediction of heavy oil viscosity at various conditions utilizing various supervised machine learning regression. Petroleum Science and Technology 41:4, pages 406-424.
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Milad Razghandi, Abdolhossein Hemmati-Sarapardeh, Fariborz Rashidi, Bahram Dabir & Shahaboddin Shamshirband. (2019) Smart models for predicting under-saturated crude oil viscosity: a comparative study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 41:19, pages 2326-2333.
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Mohammad Hosein Emami Baghdadi, Houman Darvish, Hesam Rezaei & Mohammad Savadinezhad. (2018) Applying LSSVM algorithm as a novel and accurate method for estimation of interfacial tension of brine and hydrocarbons. Petroleum Science and Technology 36:15, pages 1170-1174.
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Afshin Tatar, Ali Barati-Harooni, Siyamak Moradi, Saeid Nasery, Adel Najafi-Marghmaleki, Moonyong Lee, Le Thi Kim Phung & Alireza Bahadori. (2016) Prediction of heavy oil viscosity using a radial basis function neural network. Petroleum Science and Technology 34:21, pages 1742-1748.
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Articles from other publishers (6)

Yee Cai Ning, Syahrir Ridha, Suhaib Umer Ilyas, Shwetank Krishna, Iskandar Dzulkarnain & Muslim Abdurrahman. (2022) Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid. Journal of Petroleum Exploration and Production Technology 13:4, pages 1031-1052.
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Forough Ameli, Shahin Rostami & Samiye Shamarvand. 2023. Thermal Methods. Thermal Methods 405 432 .
Yee Cai Ning, Syahrir Ridha, Suhaib Umer Ilyas, Shwetank Krishna & Muslim Abdurrahman. (2022) Shear Stress and Filtration Loss Properties Assessment of Nano-Silica Water-Based Drilling Fluid Using Machine Learning Approaches. Journal of Energy Resources Technology 144:6.
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Zehua Chen & Daoyong Yang. (2021) Predicting Viscosities of Heavy Oils and Solvent–Heavy Oil Mixtures Using Artificial Neural Networks. Journal of Energy Resources Technology 143:11.
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Amin Bemani, Alireza Baghban & Amir H. Mohammadi. (2020) An insight into the modeling of sulfur content of sour gases in supercritical region. Journal of Petroleum Science and Engineering 184, pages 106459.
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Adel Najafi-Marghmaleki, Ali Barati-Harooni & Amir H. Mohammadi. (2017) Impact of gas impurities on CO2 mole fraction: Application in carbon capture and storage (CCS) processes. International Journal of Greenhouse Gas Control 57, pages 173-184.
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