Perbandingan Simulasi Pengukuran Aliran Gas Menggunakan USM Dengan Simulasi Melalui Aplikasi Kelton Pada Proyek Pipa Gas di PT. X

Authors

  • Marisa Ayuwandhira Paitaha Program Studi Teknik Instrumentasi Kilang, Politeknik Energi Dan Mineral Akamigas, Indonesia
  • Wasis Waskito Adi Program Studi Teknik Instrumentasi Kilang, Politeknik Energi Dan Mineral Akamigas, Indonesia
  • Novan Akhiriyanto Program Studi Teknik Instrumentasi Kilang, Politeknik Energi Dan Mineral Akamigas, Indonesia

DOI:

https://doi.org/10.61132/jupiter.v4i2.1348

Keywords:

Ultrasonic Sensor Meter, Kelton, AGA 8, AGA 9, ISO 6976

Abstract

Comparing gas flow measurement results using Ultrasonic Sensor Meters and Kelton software is very important because the objective is to determine whether the errors that occur are in accordance with applicable standards or not. This study aims to compare the simulation results from the Ultrasonic Flow Meter (USM) with Kelton software based on AGA 8, AGA 9, and ISO 6976 regulations. From measurements with the USM, an error value of 0.01% was obtained, while from Kelton software, an error value of 0.01% was also obtained. Thus, it can be concluded that the readings from both methods are still within the specified error tolerance range of 0.1%, so they do not cause excessive cost losses during the gas delivery process. This proves that the Ultrasonic Sensor Meter used has the ability to measure accurately, making it suitable for use as a measuring device in gas metering systems.

 

References

Amri, K., Wiranata, L. F., Fitria, F., Michael, R., Suprijanto, S., & Kurniadi, D. (2016). Pengukuran aliran gas menggunakan ultrasonik flowmeter 3-lintasan akustik transduser-ganda dengan metoda waktu-tempuh simultan. Jurnal Otomasi Kontrol dan Instrumentasi, 8(1), 67. https://doi.org/10.5614/joki.2016.8.1.6

Amri, K., Wiranata, L. F., Fitria, F., Michael, R., Suprijanto, S., & Kurniadi, D. (2016). Pengukuran aliran gas menggunakan ultrasonik flowmeter 3-lintasan akustik transduser-ganda dengan metoda waktu-tempuh simultan. Jurnal Otomasi Kontrol dan Instrumentasi, 8(1), 67–76. https://doi.org/10.5614/joki.2016.8.1.6

American Gas Association. (2007). AGA Report No. 9: Measurement of gas by multipath ultrasonic meters. American Gas Association.

Edi, U. N. (n.d.). Sistem komputer di metering system. 06(4).

Farzaneh-Gord, M., Izadi, S., Deymi-Dashtebayaz, M., Pishbin, S. I., & Sheikhani, H. (2015). Optimizing natural gas reciprocating expansion engines for town border pressure reduction stations based on AGA8 equation of state. Journal of Natural Gas Science and Engineering, 26, 6–17. https://doi.org/10.1016/j.jngse.2015.05.025

Farzaneh-Gord, M., Izadi, S., Deymi-Dashtebayaz, M., Pishbin, S. I., & Sheikhani, H. (2015). Optimizing natural gas reciprocating expansion engines for town border pressure reduction stations based on AGA8 equation of state. Journal of Natural Gas Science and Engineering, 26, 6–17. https://doi.org/10.1016/j.jngse.2015.05.025

ISO. (1995). Natural gas—Calculation of calorific values, density, relative density and Wobbe index from composition (Technical Corrigendum 3).

Lansing, J. (n.d.). AGA-9 measurement of gas by multipath ultrasonic meters.

Lynnworth, L. C., & Liu, Y. (2006). Ultrasonic flowmeters: Half-century progress report, 1955–2005. Journal of Fluids Engineering, 128(1), 190–197. https://doi.org/10.1115/1.2136895

Natural gas. Calculation of calorific values, density, relative density and Wobbe indices from composition (Revision underway). (2016).

Politeknik Energi dan Mineral Akamigas, Handaja, S., Dewi, A. K., Lafayatte, M. R. D., Ramdhan, M., & PT Kilang Pertamina Internasional. (2025). Smart flow computer: Leveraging IoT for accurate and efficient gas flow measurement in the oil and gas industry. International Journal of Integrated Engineering, 17(2). https://doi.org/10.30880/ijie.2025.17.02.029

Rajita, G., & Mandal, D. N. (2016). Review on transit time ultrasonic flowmeter.

Tampubolon, A. P. C., & Kiono, B. F. T. (2021). Overview perkembangan pemanfaatan energi primer gas bumi di Indonesia. Jurnal Energi Baru dan Terbarukan, 2(1), 36–52. https://doi.org/10.14710/jebt.2021.10049

Zulrahma, Y., & Wardhana, A. S. (2024). Keakurasian sistem monitoring flow rate menggunakan flow computer Omni 6000 di PT Energi Nusantara Perkasa. Jurnal Elektronika dan Otomasi Industri, 11(1), 238–245. https://doi.org/10.33795/elkolind.v11i1.5238

Downloads

Published

2026-03-31

How to Cite

Marisa Ayuwandhira Paitaha, Wasis Waskito Adi, & Novan Akhiriyanto. (2026). Perbandingan Simulasi Pengukuran Aliran Gas Menggunakan USM Dengan Simulasi Melalui Aplikasi Kelton Pada Proyek Pipa Gas di PT. X . Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro Dan Informatika, 4(2), 84–92. https://doi.org/10.61132/jupiter.v4i2.1348

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.