MATEC Web Conf.
Volume 248, 20184th Engineering Science and Technology International Conference (ESTIC 2018)
|Number of page(s)||5|
|Published online||10 December 2018|
Implementation of Risk Management in Manufacturing of Wellhead and Christmas Tree Equipment (Risk management framework)
1 Faculty Technology Engineering Universiti Tun Hussein Onn Malaysia, 86400 Johor, Malaysia
2 Faculty Engineering, Mechanical Engineering Department, Universitas Batam, 29464 Indonesia
3 Department of Mechanical Engineering, Faculty of Engineering, Universitas Muhammadiyah Surakarta, Jl. Ahmad Yani, Tromol Pos 1 Pabelan, Surakarta 57162, Indonesia
* Corresponding author: email@example.com
Wellheads and Christmas trees are the main equipment for oil production. They are manufactured in the plant and installed on the casing head to seal the annular space between casing and tubing. They are used to transport oil to pipeline in well field. The loss of wellhead and Christmas tree integrity can result in major accidents, presenting a severe risk to the environment. Therefor a purpose of this study is to investigate of an organization perception for risk management implementation in manufacturing wellhead and Christmas tree equipment. The responses were analysed using SPSS software by using Cronbach’s α, mean-value and standard deviation. Data was collected by posting a Google link form, or sent to the email of the companies listed in the Malaysia and Batam, Indonesia. This quantification of the risk management process and a risk identification tool onto the risk management process framework. The model can support and indicate the contribution of an industrial risk manager towards achieving project objectives, as well as making comprehensive decisions regarding analysis of risk management in manufacturing project and operation.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.