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Andréa da Silva Pereira, Arthur Reys Carvalho de Oliveira, Pedro F. G. Silvino, Moises Bastos-Neto & Sebastião M. P. Lucena. (2022) Neural network protocol to predict interfacial tension for CO2/CH4/Water-Brine ternary systems under reservoir temperature and pressure ranges. Petroleum Science and Technology 40:2, pages 181-200.
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Edgar Benedicto Zamora, Gerardo Zavala, Alfonso López, Enrique Cevada, Rosa Montesinos, Flavio Vázquez & César Flores. (2020) Quantitative Structure-Activity Relationship (QSAR) analysis of functionalized triblock copolymers with applications as dehydrating agents of crude oil. Journal of Dispersion Science and Technology 41:5, pages 708-716.
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Amin Kiomarsiyan & Ali Esfandiarian. (2019) Applying Grid partitioning based Fuzzy inference system method to estimate interfacial tension of brine and hydrocarbon. Petroleum Science and Technology 37:14, pages 1620-1625.
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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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Karim Rouhibakhsh & Houman Darvish. (2018) Utilization of Fuzzy C-means algorithm as a novel predictive tool for estimation of interfacial tension of hydrocarbon and brine. Petroleum Science and Technology 36:15, pages 1107-1112.
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Houman Darvish, Siamak Rahmani, Ashkan Maleki Sadeghi & Mohammad Hosein Emami Baghdadi. (2018) The ANFIS-PSO strategy as a novel method to predict interfacial tension of hydrocarbons and brine. Petroleum Science and Technology 36:9-10, pages 654-659.
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Articles from other publishers (4)
Sara Esteghlal, Seyed Hashem Samadi, Seyed Mohammad Hashem Hosseini & Ali Akbar Moosavi-Movahedi. (2023) Identification of machine learning neural-network techniques for prediction of interfacial tension reduction by zein based colloidal particles. Materials Today Communications 36, pages 106546.
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Yan-Ling Yang, Heng-Kwong Tsao & Yu-Jane Sheng. (2021) Molecular structure incorporated deep learning approach for the accurate interfacial tension predictions. Journal of Molecular Liquids 323, pages 114571.
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Chengli Zhang, Peng Wang & Guoliang Song. (2019) Study on enhanced oil recovery by multi-component foam flooding. Journal of Petroleum Science and Engineering 177, pages 181-187.
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Alireza Rostami, Hojatollah Ebadi, Milad Arabloo, Mahdi Kalantari Meybodi & Alireza Bahadori. (2017) Toward genetic programming (GP) approach for estimation of hydrocarbon/water interfacial tension. Journal of Molecular Liquids 230, pages 175-189.
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