Talk on “Fire And Gas Detection Systems On Offshore Platform”
Venue:
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Wisma IEM, 01- Auditorium Tan Sri Prof. Chin Fung Kee, 3rd Floor
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Date & Time:
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12 Sep 2015 (9:00 AM - 11:00 AM)
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CPD: |
2 |
Closing Date Before: |
09-Sep-2015 (Subject to change based on availability of seat) |
Organised By |
Technical Division - Oil, Gas and Mining |
SYNOPSIS
Offshore platforms are equipped with a fire and gas detection technology to mitigate a hazardous situation. Calculated risk analysis (through simulation) has improved the risk of a catastrophic fire incidents around the region. An analysis by utilizing fire and gas mapping calculates the chances of a fire risk. This technique is widely used today and is still continuously being developed for improvement purposes. With proper forecasting or predictive technique, a failure can be avoided.
In an uncertainty situation, the risks among the people working on an offshore platform increase when there is a fire and gas detection system failure. An investment in a reliable fire and gas detection system is a necessity. A fail-safe system design which shutdowns the platform to protect the assets, environment and people, when a fire or gas leakage occurs must be available, be reliable and be dependable when required.
BIODATA OF SPEAKER
Ir. Gan Chun Chet is a Mechanical Engineering graduate from the University of Manchester, United Kingdom in 1996. He also has a Masters of Science in Operations Management awarded by University of Manchester Institute of Science and Technology (UMIST), United Kingdom in 1997.
He started his career with the General Industry, and later moved to the Oil and Gas Industry where he has accumulated 17 years of working experience. In the general industry, he worked together with an engineering team to resolve daily Plant issues encountered. Some of the problems consisted of noise problems, and compressor/pumps vibration problems. Monitoring the progress and taking actions are vital to resolve the issues.
In the oil and gas industry, he works with other engineers in the area of predicting equipment failures. Practices such as redundancy, field voting, review check activities, are some examples of practices in failure mitigations.
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