TY - GEN
T1 - Design of python-based graphical user interface (GUI) as software for estimating risk of gas pipeline failure due to uniform corrosion using Monte Carlo method
AU - Ahmad, Luthfi Dali
AU - Pradipta, Muhammad Candraditya Luki
AU - Fatriansyah, Jaka Fajar
AU - Digita, Farhan Rama
AU - Ovelia, Hanna
AU - Mas'Ud, Imam Abdillah
N1 - Publisher Copyright:
© 2023 Author(s).
PY - 2023/5/9
Y1 - 2023/5/9
N2 - Pipes are considered the safest and most efficient equipment for distributing liquids or natural gas, but the possibility of failure with economic, safety, and ecological damage impacts is still possible. The corrosion phenomenon is an anomaly that often occurs in pipelines that can reduce pipe thickness and implicate poor management of gas flow. Risk-Based Inspection methodology may be used to manage the corrosion risk by focusing inspection efforts on the process equipment with the highest risk. One way to analyze the corrosion risk that occurs in gas pipelines is by Monte Carlo simulation. Monte Carlo simulation is a simulation technique that constructs probability distributions of the possible outcomes from the limited samples using a randomization process. Graphical User Interface (GUI) is created to model Monte Carlo simulation by using the python programming language. The manual calculation on Minitab software is used as a comparison to validate the model.
AB - Pipes are considered the safest and most efficient equipment for distributing liquids or natural gas, but the possibility of failure with economic, safety, and ecological damage impacts is still possible. The corrosion phenomenon is an anomaly that often occurs in pipelines that can reduce pipe thickness and implicate poor management of gas flow. Risk-Based Inspection methodology may be used to manage the corrosion risk by focusing inspection efforts on the process equipment with the highest risk. One way to analyze the corrosion risk that occurs in gas pipelines is by Monte Carlo simulation. Monte Carlo simulation is a simulation technique that constructs probability distributions of the possible outcomes from the limited samples using a randomization process. Graphical User Interface (GUI) is created to model Monte Carlo simulation by using the python programming language. The manual calculation on Minitab software is used as a comparison to validate the model.
UR - http://www.scopus.com/inward/record.url?scp=85160103068&partnerID=8YFLogxK
U2 - 10.1063/5.0115818
DO - 10.1063/5.0115818
M3 - Conference contribution
AN - SCOPUS:85160103068
T3 - AIP Conference Proceedings
BT - Advances in Metallurgy and Engineering Materials
A2 - Fatriansyah, Jaka Fajar
A2 - Ferdian, Deni
A2 - Putra, Wahyuaji Narottama
A2 - Yuwono, Akhmad Herman
A2 - Dhaneswara, Donanta
A2 - Sofyan, Nofrijon
PB - American Institute of Physics Inc.
T2 - International Meeting on Advances in Metallurgy and Materials 2020, i-MAMM 2020
Y2 - 16 November 2020 through 17 November 2020
ER -