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Petroleum Science and Technology Volume 36, 2018 - Issue 3
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Original Articles

Application of Fuzzy c-means algorithm for the estimation of Asphaltene precipitation

Alireza TaherpourDepartment of Petroleum Engineering, Petroleum University of Technology, Iran
,
Alireza Cheshmeh SefidiDepartment of Petroleum Engineering, Petroleum University of Technology, Iran
,
Amin BemaniDepartment of Petroleum Engineering, Petroleum University of Technology, IranCorrespondence[email protected]
&
Touba HamuleDepartment of Basic Science, Petroleum University of Technology, Iran
Pages 239-243 | Published online: 29 Dec 2017

Citations (13)

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Read on this site (8)

Reza Salehi Nezhad, Amin Kiomarsiyan & Houman Darvish. (2023) A novel experimental study on inhibition of asphaltene deposition. Petroleum Science and Technology 41:22, pages 2112-2120.
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Ali Naghshgar, Karim Rouhibakhsh, Mohsen Zare & Mohammad Sadegh Goodarzi. (2022) Application of LSSVM-PSO algorithm as a novel tool to predict standard molar chemical exergy for organic materials. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:2, pages 3008-3015.
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Alireza Golsefatan & Khalil Shahbazi. (2020) Predicting the effect of nanocomposites on asphaltene removal using a comprehensive approach. Petroleum Science and Technology 38:1, pages 64-73.
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Ali Esfandiarian & Milad Sedaghat. (2019) Development of a novel ANFIS-GA method for investigation of effect of inhibitors on asphaltene precipitation. Petroleum Science and Technology 37:14, pages 1626-1633.
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Amin Kiomarsiyan & Milad Sedaghat. (2018) Application of Fuzzy C-means algorithm as a novel approach to forecast gas density in different conditions. Petroleum Science and Technology 36:17, pages 1368-1373.
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Milad Sedaghat & Karim Rouhibakhsh. (2018) On prediction of asphaltene precipitation in different operational conditions utilization of LSSVM algorithm. Petroleum Science and Technology 36:16, pages 1292-1297.
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Alireza Baghban, Rasoul Hekmati, Mahdi Hajiali, Milad Janghorban Lariche & Majid Kamyab. (2018) Application of MLP-ANN as novel tool for estimation of effect of inhibitors on asphaltene precipitation reduction. Petroleum Science and Technology 36:16, pages 1272-1277.
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Behnam Tashayo, Fariba Zarei, Houman Zarrabi, Milad Janghorban Lariche & Alireza Baghban. (2018) Utilization of RBF-ANN as a novel approach for estimation of asphaltene inhibition efficiency. Petroleum Science and Technology 36:16, pages 1216-1221.
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Articles from other publishers (5)

Karli Eka Setiawan, Afdhal Kurniawan, Andry Chowanda & Derwin Suhartono. (2023) Clustering models for hospitals in Jakarta using fuzzy c-means and k-means. Procedia Computer Science 216, pages 356-363.
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Mohammad Haji-Savameri, Saeid Norouzi-Apourvari, Ahmad Irannejad, Abdolhossein Hemmati-Sarapardeh, Mahin Schaffie & Amir Mosavi. (2021) Experimental study and modelling of asphaltene deposition on metal surfaces with superhydrophobic and low sliding angle inner coatings. Scientific Reports 11:1.
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Maolin Shi, Tianci Zhang, Liyong Zhang, Wei Sun & Xueguan Song. (2020) A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine. Knowledge-Based Systems 191, pages 105229.
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Abdolhossein Hemmati-Sarapardeh, Aydin Larestani, Menad Nait Amar & Sassan Hajirezaie. 2020. Applications of Artificial Intelligence Techniques in the Petroleum Industry. Applications of Artificial Intelligence Techniques in the Petroleum Industry 79 227 .
Kiarash Keshmiri, Haibo Huang & Neda Nazemifard. (2019) Microfluidic platform to evaluate asphaltene deposition during solvent-based extraction of bitumen. Fuel 239, pages 841-851.
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