Predictive analytic dashboard for desalter and crude distillation unit
Desalter and crude distillation unit is an equipment used for desalting of salt and other impurities to minimize corrosion during the crude oil refining process. This study presents the predictive analysis of data from desalter and crude distillation unit. Artificial Neural Network (ANN) algorithm i...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
|
| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047415109&doi=10.1109%2fICBDAA.2017.8284107&partnerID=40&md5=09efacc858ac8ebc53780725fc57be19 http://eprints.utp.edu.my/21775/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.utp.eprints.21775 |
|---|---|
| record_format |
eprints |
| spelling |
my.utp.eprints.217752018-08-14T00:45:11Z Predictive analytic dashboard for desalter and crude distillation unit Hassanudin, S.N. Aziz, I.A. Jaafar, J. Qaiyum, S. Zubir, W.M.A.M. Desalter and crude distillation unit is an equipment used for desalting of salt and other impurities to minimize corrosion during the crude oil refining process. This study presents the predictive analysis of data from desalter and crude distillation unit. Artificial Neural Network (ANN) algorithm is used with R programming language for the forecasting. The corrosion rate was identified by using Multiple Linear Regression Analysis (MLRA). The objective was to develop a predictive analysis model by incorporating ANN and MLRA using parameters from the desalter, the crude distillation unit data and the corrosion rate. ANN is used to forecast data while MLRA is used to find the corrosion rate. A dashboard system was developed to visualize the propose analysis. The proposed predictive analytical model was validated within the proposed dashboard system. This predictive dashboard is to aid the corrosion engineer to make decision on replacing pipeline on estimated time to avoid financial losses and risk. © 2017 IEEE. Institute of Electrical and Electronics Engineers Inc. 2018 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047415109&doi=10.1109%2fICBDAA.2017.8284107&partnerID=40&md5=09efacc858ac8ebc53780725fc57be19 Hassanudin, S.N. and Aziz, I.A. and Jaafar, J. and Qaiyum, S. and Zubir, W.M.A.M. (2018) Predictive analytic dashboard for desalter and crude distillation unit. 2017 IEEE Conference on Big Data and Analytics, ICBDA 2017, 2018-J . pp. 55-60. http://eprints.utp.edu.my/21775/ |
| institution |
Universiti Teknologi Petronas |
| building |
UTP Resource Centre |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Institutional Repository |
| url_provider |
http://eprints.utp.edu.my/ |
| description |
Desalter and crude distillation unit is an equipment used for desalting of salt and other impurities to minimize corrosion during the crude oil refining process. This study presents the predictive analysis of data from desalter and crude distillation unit. Artificial Neural Network (ANN) algorithm is used with R programming language for the forecasting. The corrosion rate was identified by using Multiple Linear Regression Analysis (MLRA). The objective was to develop a predictive analysis model by incorporating ANN and MLRA using parameters from the desalter, the crude distillation unit data and the corrosion rate. ANN is used to forecast data while MLRA is used to find the corrosion rate. A dashboard system was developed to visualize the propose analysis. The proposed predictive analytical model was validated within the proposed dashboard system. This predictive dashboard is to aid the corrosion engineer to make decision on replacing pipeline on estimated time to avoid financial losses and risk. © 2017 IEEE. |
| format |
Article |
| author |
Hassanudin, S.N. Aziz, I.A. Jaafar, J. Qaiyum, S. Zubir, W.M.A.M. |
| spellingShingle |
Hassanudin, S.N. Aziz, I.A. Jaafar, J. Qaiyum, S. Zubir, W.M.A.M. Predictive analytic dashboard for desalter and crude distillation unit |
| author_facet |
Hassanudin, S.N. Aziz, I.A. Jaafar, J. Qaiyum, S. Zubir, W.M.A.M. |
| author_sort |
Hassanudin, S.N. |
| title |
Predictive analytic dashboard for desalter and crude distillation unit |
| title_short |
Predictive analytic dashboard for desalter and crude distillation unit |
| title_full |
Predictive analytic dashboard for desalter and crude distillation unit |
| title_fullStr |
Predictive analytic dashboard for desalter and crude distillation unit |
| title_full_unstemmed |
Predictive analytic dashboard for desalter and crude distillation unit |
| title_sort |
predictive analytic dashboard for desalter and crude distillation unit |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2018 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047415109&doi=10.1109%2fICBDAA.2017.8284107&partnerID=40&md5=09efacc858ac8ebc53780725fc57be19 http://eprints.utp.edu.my/21775/ |
| _version_ |
1738656336472702976 |
| score |
13.211869 |