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Prediction the individual component distillation curves of the blended feed using a hybrid GDM-PcLE method

A comprehensive knowledge of the properties and characterisations of the individual component in the blended feed is primary importance because different feedstock blending yields different products palate. Crude oil / condensate distillation unit optimization is an uphill task because unavailabi...

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Main Author: Mat, Mohd Rosdi Naim
Format: Thesis
Language:English
Published: 2009
Online Access:http://utpedia.utp.edu.my/2911/1/Thesis_submission_11_july-09.pdf
http://utpedia.utp.edu.my/2911/
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spelling my-utp-utpedia.29112017-01-25T09:44:27Z http://utpedia.utp.edu.my/2911/ Prediction the individual component distillation curves of the blended feed using a hybrid GDM-PcLE method Mat, Mohd Rosdi Naim A comprehensive knowledge of the properties and characterisations of the individual component in the blended feed is primary importance because different feedstock blending yields different products palate. Crude oil / condensate distillation unit optimization is an uphill task because unavailability of cheaper and reliable on line feed and product analyzers. Furthermore, laboratory analysis for feedstock characterization is very costly and time consuming. Alternatively, feed synthesis technique is used to reconcile the entire range of feed distillation curves by back blending the product streams from the actual column operation. The TBP and SG correlation are widely been used to estimate other bulk properties because they give the most accurate results. Due to highly nonlinear behaviour, methods like linear regression, non linear regression and rigorous models are adopted to predict TBP and SG distillation curves. The latter could give better accuracy results, but it is more complex, lengthy and costly to be implemented. In addition, the rigorous model commercially available such as PetrosimTM and Hysis 3.1TM are only being used to predict blended feed distillation curves, not for the individual component. Thus, a hybrid approach is proposed to overcome the deficiency of current methods and practices. The proposed method integrates the most versatile General Distribution Model (GDM) with a Pseudo-component Linear Equation (PcLE) method to predict the entire range individual component TBP and SG distillation curves of the blended feed from the readily available plant data, which are routinely taken by refiners. The predicted results given by hybrid GDM-PcLE model are almost agreeable with the lab results. A case study using the proposed short cut feed synthesis procedure and hybrid GDM-PcLE model showed additional 5% Naphtha yield can be achieved by changing the current feed blending ratio and product cut points. The accuracy of the predicting results can be improved if the distillates samples are to be carried out simultaneously and the flow meters are calibrated and corrected the measurements to density and temperature of the measuring devices. Since PcLE method is simple and open application, it can be easily integrated with iCONTM to enhance its application predicting the pure component TBP and other distillation curves from blended feed. 2009 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/2911/1/Thesis_submission_11_july-09.pdf Mat, Mohd Rosdi Naim (2009) Prediction the individual component distillation curves of the blended feed using a hybrid GDM-PcLE method. Masters thesis, UNIVERSITI TEKNOLOGI PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
description A comprehensive knowledge of the properties and characterisations of the individual component in the blended feed is primary importance because different feedstock blending yields different products palate. Crude oil / condensate distillation unit optimization is an uphill task because unavailability of cheaper and reliable on line feed and product analyzers. Furthermore, laboratory analysis for feedstock characterization is very costly and time consuming. Alternatively, feed synthesis technique is used to reconcile the entire range of feed distillation curves by back blending the product streams from the actual column operation. The TBP and SG correlation are widely been used to estimate other bulk properties because they give the most accurate results. Due to highly nonlinear behaviour, methods like linear regression, non linear regression and rigorous models are adopted to predict TBP and SG distillation curves. The latter could give better accuracy results, but it is more complex, lengthy and costly to be implemented. In addition, the rigorous model commercially available such as PetrosimTM and Hysis 3.1TM are only being used to predict blended feed distillation curves, not for the individual component. Thus, a hybrid approach is proposed to overcome the deficiency of current methods and practices. The proposed method integrates the most versatile General Distribution Model (GDM) with a Pseudo-component Linear Equation (PcLE) method to predict the entire range individual component TBP and SG distillation curves of the blended feed from the readily available plant data, which are routinely taken by refiners. The predicted results given by hybrid GDM-PcLE model are almost agreeable with the lab results. A case study using the proposed short cut feed synthesis procedure and hybrid GDM-PcLE model showed additional 5% Naphtha yield can be achieved by changing the current feed blending ratio and product cut points. The accuracy of the predicting results can be improved if the distillates samples are to be carried out simultaneously and the flow meters are calibrated and corrected the measurements to density and temperature of the measuring devices. Since PcLE method is simple and open application, it can be easily integrated with iCONTM to enhance its application predicting the pure component TBP and other distillation curves from blended feed.
format Thesis
author Mat, Mohd Rosdi Naim
spellingShingle Mat, Mohd Rosdi Naim
Prediction the individual component distillation curves of the blended feed using a hybrid GDM-PcLE method
author_facet Mat, Mohd Rosdi Naim
author_sort Mat, Mohd Rosdi Naim
title Prediction the individual component distillation curves of the blended feed using a hybrid GDM-PcLE method
title_short Prediction the individual component distillation curves of the blended feed using a hybrid GDM-PcLE method
title_full Prediction the individual component distillation curves of the blended feed using a hybrid GDM-PcLE method
title_fullStr Prediction the individual component distillation curves of the blended feed using a hybrid GDM-PcLE method
title_full_unstemmed Prediction the individual component distillation curves of the blended feed using a hybrid GDM-PcLE method
title_sort prediction the individual component distillation curves of the blended feed using a hybrid gdm-pcle method
publishDate 2009
url http://utpedia.utp.edu.my/2911/1/Thesis_submission_11_july-09.pdf
http://utpedia.utp.edu.my/2911/
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score 13.211869

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