Indian Journal of Science and Technology
DOI: 10.17485/ijst/2018/v11i31/115979
Year: 2018, Volume: 11, Issue: 31, Pages: 1-5
Original Article
Maryam Joudaki1* and Alireza Seddighi2
1 Department of Computer, Najaf Abad Branch, Islamic Azad University, Najaf Abad, Iran; [email protected]
2Department of Computer, Qom Branch, Islamic Azad University, Qom, Iran; [email protected]
*Author for correspondence
Maryam Joudaki,
Department of Computer, Najaf Abad Branch, Islamic Azad University, Najaf Abad, Iran; [email protected]
Objectives: Predicting the Cloud Point Temperatures in Wax and Pure Paraffin Depositions which can help oil experts make substantial decisions to have less heavy material deposition in crude (oil). Methods/Statistical Analysis: In this paper, we use a PSO based ANN approach to predict the cloud point temperature of depositions, which has been designed based on the most important parameters that are related to cloud point temperature. Solvent molecular weights, solute molecular weights, and solute weight fraction are the main parameters that have been considered, while observing the cloud point temperature amounts. Findings: By predicting factors that make sediment happen, we eliminate or reduce the deposition of action. The modeled results show 99% for test dataset in both used depositions. Application/Improvements: The proposed method improves the results to achieve more precision results compared to the previous related works.
Keyword: ANN, Cloud Point Temperature, Paraffin Deposition, Wax Deposition, PSO
Subscribe now for latest articles and news.
