Abstract

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

Highlights

  • In today’s world, having artificial predictions instead of accomplishing laboratory implementations is a way forward great development

  • In predicting the cloud point temperature of Wax[1], presented a predictive system based on a non-linear polynomial equation, as we can consider it as a paper which stimulated us to work on the current paper

  • The weight fraction of solute, the amount of decane used as its solvent, the amount of heptanes used as its solvent and apparent molecular weight of solution are attributes that are illustrated in Table 1 in different amounts

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Summary

Introduction

In today’s world, having artificial predictions instead of accomplishing laboratory implementations is a way forward great development. In predicting the cloud point temperature of Wax[1], presented a predictive system based on a non-linear polynomial equation, as we can consider it as a paper which stimulated us to work on the current paper. Most of the related papers to the current paper have major purposes of either modeling or predicting the cloud point temperature of Wax. We can barely say that the main aim of writing these articles is reducing Wax depositions. We can barely say that the main aim of writing these articles is reducing Wax depositions Another example[3] has worked on modeling Wax deposition in crude oil. Another bold paper which has worked on the prediction of cloud point temperature of Paraffin Wax has used a

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