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LNG Complex Reliability-A Recent Study Disclosure Number: IPCOM000182774D
Publication Date: 2009-May-05

Publishing Venue

The Prior Art Database

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Barry Wilson, Maintenance Strategist

Brown & Root AOC

Wellheads Place

Wellheads Industrial Estate
Dyce, Aberdeen AB21 7GB

Bernard Duchemin, Project Manager, Total Fina Elf Co.

Felix F. de la Vega, Sr. Technology Consultant LNG

Shahid Majeed, Technical Manager

Angela Peng, Process Engineering

 Halliburton KBR 601 Jefferson Ave.
Houston, TX 77002

  One of the most effective ways to improve the profitability of an LNG plant is to improve its reliability/availability/maintainability in order to increase efficiency and production while reducing maintenance and improving equipment life. To achieve this, many companies are performing reliability studies of their plants with the intent of quantifying their existing performance and identify improvements which will result in debottlenecking activities and/or instauration of preventive maintenance programs.

  This paper presents a typical example of an LNG plant reliability, availability and maintainability study done for the Qatar Liquefied Natural Gas Co. Ltd. in the State of Qatar. It includes:

Production profile throughout the life of the plant

Contribution of the different systems to overall losses, broken down to different levels of details i.e. losses associated to offshore and onshore facilities, LNG trains, refrigeration systems within a train, equipment within a refrigeration system, utility systems, etc.

  The model containing over 3,000 equipment and instrumentation items predicts the performance of the complex through application of an event driven algorithm, which creates life-cycle scenarios of the system under investigation. Failure and repair information data used within the model was extracted from established generic data sources or from historical maintenance records provided by the Company. In addition main planned shutdown activities were included to provide a realistic representation of actual facility performance.



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Barry Wilson, Bernard Duchemin, Felix de la Vega, Shahid Majeed and Angela S. Peng



  For any plant or operating system, it is desirable to have available both the past and present performance information of the system. Analysis of this information can be used to predict future operations in order for the plant to more closely achieve an optimal performance.

  Today, with the ever-expanding capabilities of the Distributed Control Systems (DCS) and computer systems, a historical database on each piece of equipment and instrument can be maintained. For these items, the database would track the mean time to failure (MTTF), the mean time to repair (MTTR), and their effects on production. As stated above, through a study of such data, modifications to the facility's future operations,...