Statistical Process Control for Depropanizer Column at Petronas Gas Berhad, Kerteh

• Main Author: Ahmad, Siti F ariza
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2009
• Subjects: TP Chemical technology
• Online Access: http://utpedia.utp.edu.my/9240/1/2009%20Bachelor%20-%20Statistical%20Process%20Control%20For%20Deproponizer%20Column%20At%20Petronas%20Gas%20Berhad%20%28PGB%29%20.pdf; http://utpedia.utp.edu.my/9240/
• Institution: Universiti Teknologi Petronas

The final report is made in order to give all the details on the Final Year Project II which is "Statistical Process Control for Depropanizer Column at Petronas Gas Berhad (PGB), Kerteh ". This report is divided into five main chapters which are Introduction, Literature Review, Methodology, Results & Discussions and Conclusion. Statistical Process Control (SPC) has a very high demand in industry right now as it provides a way to monitor process behavior and able us to analyze the variations in the process that may affect the quality of the end product. In this project, the focus in on the depropanizer column at Petronas Gas Berhad (PGB), Kerteh. The short term targets are to apply Statistical Process Control on the column stated, to measure and analyze the variation in the processes, to monitor the consistency of processes used to manufacture the product as designed and finally to suggest the best way in controlling all the variables at the column. While for long term is to implement the results in our industry. Many variables have to be considered in order to complete the project, which are: (a) Calculated data surrounding the depropanizer column which include all the tag names, (b) Tag names and description, (c) Description of the depropanizer column and (d) Flow sheet for the column showing all the tag name surrounding the column. Mainly, two tools are required in executing this project which are (a) SSPS software and (b) LIMS - Laboratory Information Management System (in PGB, Kerteh). From here, an early analysis on all the variables obtained by using Microsoft Excel has been made. Mainly, the discussion is about the input variables that affecting the output variable, which in this case the output variable is the C3 composition. Some problems have been identified during the process of analyzing the data using Microsoft Excel. Simulation using SPSS software has been completed which includes: a) Descriptive Statistics a) Crosstabs b) Histograms b) One Way Anova c) Correlations c) Paired T -test d) Scatter Plots d) Linear Regressions Analysis has been completed for the results obtained from SPSS, focusing on the critical components inside the overhead product composition which is C3 and some input data that will most probably affect the overhead product composition: i) Reflux flow ( 4FC6203 .PV) ii) Energy input inside the column ( 4T1623l.PV) iii) Feed conditions (4FY62022.PV, 4TI6009.PV) It is proven that these four main input variables have a very strong relationship with C3 composition inside the overhead product and they all come from a general population mean. Increasing or decreasing their values will give a great impact to the C3 composition. As the samples proved to come from a general population mean, an optimum operating condition could be produced from the average data, in order to maintain C3 composition within the desired value (98.48 mole%): Input Description Optimum operating variables conditions suggested 4FC6203.PV Reflux flow 112.96 m,/hr 4TI623l.PV Energy input inside the column 116.03 oc I Reboiler temperature 4FY62022.PV Feed flowrate 143.36 m,/hr 4TI6009.PV Feed temperature 95.81 oc However, these optimum operating conditions suggested must be checked again so that it will not violate the design operating conditions. This project will not only improve the existing process control of the column but also improve the quality of end product and saving the cost to operate the column.