Journal of Engineering and Management in Industrial System
Vol 11, No 1 (2023)

ASSESSING CONTRIBUTORY FACTORS IN POTENTIAL HAZARD NATURAL GAS PIPELINE FAILURE

Ahmad Hasnan (PT. Pustek E&T)
Zefry Darmawan (Departemen Teknik Industri Fakultas Teknik Universitas Brawijaya)
Ade Iskandar (PT. Pustek E&T)
Aswin Aswin (PT. Pustek E&T)
Diar Azzis Septian (PT. Pustek E&T)



Article Info

Publish Date
11 Jun 2023

Abstract

Increased energy demand in Indonesia is accompanied by increasing demand for natural gas, where in the next 50 years natural gas is predicted to be the number one energy source in Indonesia, pipeline is the cheapest way to distribute natural gas, in this way, length of pipeline infrastructure will increase year by year. it is still very much needed by both the household, industry, and power plants. The longer the pipeline, the risk of pipeline failure also increases, it is necessary to understand what factors have the most influence on pipeline failure, the method used is to create a factor matrix from a modified Muhlbauer, MICMAC is used to test the strength of the relationship between significant factors causing the potential hazard of pipeline failure. based on their influences and dependencies. The value of the dependency relationship between factors is determined from discussions with several pipeline experts in Indonesia, who work in related fields, the result is that there are three main factors that contribute major potential hazards, without being influenced by other factors, that is determining safety factors in the design process, depth pipeline and the existence of SOP in the pipeline system. One factor, namely depth, can be eliminated because there are government regulations requiring natural gas pipelines to be buried in the ground at a certain depth.

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Journal Info

Abbrev

jemis

Publisher

Subject

Industrial & Manufacturing Engineering

Description

Journal of Engineering and Management in Industrial System is a peer reviewed journal. The journal publishes original papers at the forefront of industrial and system engineering research, covering theoretical modeling, inventory, logistics, optimizations methods, artificial intelligence, bioscience ...