Real-time monitoring and management of offshore process system integrity

Process system integrity is defined as the ability of the system to safely resist the subjected load and perform as desired. Early 2000, risk-based asset integrity management was proposed, which is currently practiced. In risk-based integrity management, system integrity is intermittently assessed and maintained throughout the design life. The recommended integrity inspection and maintenance interval are determined considering vulnerability of the system and resource availability. It may vary from six months to six years. This approach is useful but not very beneficial for highly hazardous systems, which are operating remotely in vulnerable environmental and operational conditions. A contemporary approach considering real-time condition monitoring and integrity management is briefly introduced here. Knowledge and technology gaps that need to be filled to make this approach practical are also highlighted.

[1]  Faisal I Khan,et al.  Risk-Based Integrity and Inspection Modeling (RBIIM) of Process Components/System , 2006, Risk analysis : an official publication of the Society for Risk Analysis.

[2]  Tom Chen,et al.  Maintenance policies with two-dimensional warranty , 2002, Reliab. Eng. Syst. Saf..

[3]  Marvin Zelen,et al.  Mathematical Theory of Reliability , 1965 .

[4]  Mohamed Abdel-Hameed,et al.  Inspection, maintenance and replacement models , 1995, Comput. Oper. Res..

[5]  Achintya Haldar,et al.  Fatigue‐Reliability Updating through Inspections of Steel Bridges , 1994 .

[6]  Prasanta Kumar Dey,et al.  Decision support system for inspection and maintenance: a case study of oil pipelines , 2004, IEEE Transactions on Engineering Management.

[7]  Paul Fieguth,et al.  Computer Vision Techniques for Automatic Structural Assessment of Underground Pipes , 2003 .

[8]  Paul Fieguth,et al.  Automated underground pipe inspection using a unified image processing and artificial intelligence methodology , 2000 .

[9]  Samuel H Carpenter,et al.  APPLICATION OF MARKOV PROCESS TO PAVEMENT MANAGEMENT SYSTEMS AT NETWORK LEVEL , 1994 .

[10]  John D. Hedengren,et al.  Fiber Optic Monitoring of Subsea Equipment , 2012 .

[11]  R. M. Chandima Ratnayake,et al.  A decision model for executing plant strategy: maintaining the technical integrity of petroleum flowlines , 2012 .

[12]  Peter Bruns Optimal maintenance strategies for systems with partial repair options and without assuming bounded costs , 2002, Eur. J. Oper. Res..

[13]  Yong Bai,et al.  Risk-Based Inspection and Integrity Management of Pipeline Systems , 2000 .

[14]  J. M. Hans du Buf,et al.  A review of recent texture segmentation and feature extraction techniques , 1993 .

[15]  Robin Pitblado,et al.  Global process industry initiatives to reduce major accident hazards , 2011 .

[16]  R. Barlow,et al.  Optimum Preventive Maintenance Policies , 1960 .

[17]  Hong Hao,et al.  Vibration‐based structural health monitoring of offshore pipelines: numerical and experimental study , 2013 .

[18]  Andrew K. S. Jardine,et al.  Measuring maintenance performance: a holistic approach , 1999 .

[19]  Sunil K. Sinha,et al.  Intelligent System for Condition Monitoring of Underground Pipelines , 2004 .

[20]  Amik Garg,et al.  Maintenance management: literature review and directions , 2006 .

[21]  R. Komanduri,et al.  Wireless sensing of flow-induced vibrations for pipeline integrity monitoring , 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

[22]  Faisal Khan,et al.  Risk based integrity modeling of offshore process components suffering stochastic degradation , 2013 .

[23]  Marcello Braglia,et al.  The analytic hierarchy process applied to maintenance strategy selection , 2000, Reliab. Eng. Syst. Saf..

[24]  Alex Talevski,et al.  Applications of Wireless Sensor Networks in the Oil, Gas and Resources Industries , 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

[25]  Maarten-Jan Kallen,et al.  Optimal maintenance decisions under imperfect inspection , 2005, Reliab. Eng. Syst. Saf..

[26]  Vinh N. Dang,et al.  Probabilistic Safety Assessment and Management , 2004 .

[27]  Mahmoud R Haddara,et al.  The Development of Posterior Probability Models in Risk‐Based Integrity Modeling , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[28]  Ruhul A. Sarker,et al.  Optimization of maintenance and spare provisioning policy using simulation , 2000 .

[29]  Rommert Dekker,et al.  On the impact of optimisation models in maintenance decision making: the state of the art , 1998 .

[30]  Daniel Straub,et al.  Computational Aspects of Risk-Based Inspection Planning , 2006, Comput. Aided Civ. Infrastructure Eng..

[31]  Albert H. C. Tsang,et al.  Condition-based maintenance: tools and decision making , 1995 .

[32]  Basim Al-Najjar,et al.  Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making , 2003 .

[33]  Albert H. C. Tsang,et al.  A strategic approach to managing maintenance performance , 1998 .

[34]  Rommert Dekker,et al.  Applications of maintenance optimization models : a review and analysis , 1996 .

[35]  David Mba,et al.  The environment, international standards, asset health management and condition monitoring: An integrated strategy , 2009, Reliab. Eng. Syst. Saf..

[36]  Tshilidzi Marwala,et al.  Machine and component residual life estimation through the application of neural networks , 2007, Reliab. Eng. Syst. Saf..

[37]  M. Marseguerra,et al.  Simulation modelling of repairable multi-component deteriorating systems for 'on condition' maintenance optimisation , 2002, Reliab. Eng. Syst. Saf..

[38]  Margot P. C. Weijnen,et al.  Integrated optimal reliable design, production, and maintenance planning for multipurpose process plants , 2003, Comput. Chem. Eng..

[39]  Hossam A. Gabbar,et al.  Review of pipeline integrity management practices , 2010 .

[40]  Randal L. Montgomery,et al.  Risk-Based Maintenance: A New Vision for Asset Integrity Management , 2002 .

[41]  Marcello Braglia,et al.  Failure rate prediction with artificial neural networks , 2005 .

[42]  David Sherwin,et al.  A review of overall models for maintenance management , 2000 .

[43]  N. T. Bala Krishnan A simulation model for maintenance planning , 1992 .

[44]  Mahesh D. Pandey,et al.  Probabilistic models for condition assessment of oil and gas pipelines , 1998 .

[45]  Mamdouh M. Salama,et al.  Development of a Real-Time Active Pipeline Integrity Detection System , 2009 .

[46]  B. A. Basker,et al.  Determination of optimal overhaul intervals and inspection frequencies—A case study , 1978 .

[47]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .