Performance Analysis Method through Process Variable Modeling to Maintain Top Product Quality on Fuel Gas Scrubber Performance: A Case Study of Fuel Gas Scrubber 141-V-01

Putri Yeni Aisyah, Totok Soehartanto, Ndaru Priyo Tri Atmtoko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fuel Gas Scrubber is part of the Gas Sweetening unit which functions to separate the heavy fraction (liquid) that is contained in the hydrocarbon mixture gas. The efficiency of the scrubber unit's performance in separating the liquid content carried by the gas stream cannot reach 90% if the particle size (liquid) separated is less than 25 µm. Currently, the deviation of the liquid content contained in the top product of the Fuel Gas Scrubber cannot be detected in real-time. Therefore, a method is needed to model the gas impurities produced by the Fuel Gas Scrubber through the correlation of process variables. Mathematical models are used to verify the most influential process variables through statistical correlation tests. Top product quality mathematical model with verified parameter correlation, used to verify process loop of Fuel Gas Scrubber based on Piping and Instrument Diagram Process. From the experiments that have been carried out, the Ordinary Least Square method is the most capable method to producing a good estimator value. The average error of the model obtained is 4.42%. In addition, this model can be used as a guide to improving the performance of the Fuel Gas Scrubber 141-V-01, by making improvements to the four process loop parameters that have the most significant effect on the top product quality, namely, level indicator, pressure indicator, pressure transmitter, and level transmitter.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Advanced Technology and Multidiscipline, ICATAM 2021
Subtitle of host publication"Advanced Technology and Multidisciplinary Prospective Towards Bright Future" Faculty of Advanced Technology and Multidiscipline
EditorsPrihartini Widiyanti, Prastika Krisma Jiwanti, Gunawan Setia Prihandana, Ratih Ardiati Ningrum, Rizki Putra Prastio, Herlambang Setiadi, Intan Nurul Rizki
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735444423
DOIs
Publication statusPublished - 19 May 2023
Event1st International Conference on Advanced Technology and Multidiscipline: Advanced Technology and Multidisciplinary Prospective Towards Bright Future, ICATAM 2021 - Virtual, Online
Duration: 13 Oct 202114 Oct 2021

Publication series

NameAIP Conference Proceedings
Volume2536
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference1st International Conference on Advanced Technology and Multidiscipline: Advanced Technology and Multidisciplinary Prospective Towards Bright Future, ICATAM 2021
CityVirtual, Online
Period13/10/2114/10/21

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