Availability-based reliability-centered maintenance planning for gas transmission pipelines

Zakikhani, Kimiya; Zayed, Tarek

doi:10.1016/j.ijpvp.2020.104105

Cited by 28 publications

(10 citation statements)

References 12 publications

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“…the content of sulphur in a crude oil) is appropriate in a system in which mixing of products is required [25,26]. By limiting the availability of pumping modes and tanks in warehouses, it is also possible to simulate maintenance or failures [27,28]. Thanks to the simplicity and the use of a limited number of basic discrete elements, the model can be easily transferred to the environment of other simulation products, such as Simul8 or Arena [29,30].…”

Section: Discussionmentioning

confidence: 99%

Support of Scheduling of Multiproduct Pipeline Systems Using Simulation in Witness

Strachotova¹,

Dyntar²

2021

Int. j. simul. model.

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In this paper, we describe the efficient discrete modelling of multiproduct pipeline systems in Witness simulation software environment. Our simulation model consists of 6 blocks called System structure, Pumping modes, Pumping schedule, Pumping execution, Collecting of outputs and Simulation run control and is supported by MS Excel. Algorithm for the assignment of a scheduled pumping requirement to execution is proposed too. Our model is innovative in that pipelines for the transport of products, tanks for storing products in warehouses as well as the products themselves and their material flow are represented neither by the continuous physical elements (Pipes, Tanks, Fluids) nor their discrete equivalent (Conveyors, Buffers, Parts) but by the logical elements called Variables. Avoiding physical elements enables efficient modelling of bidirectional flow of products in a pipeline and furthermore leads to the high speed of a simulation run. Based on the outputs of simulation of a simple pipeline system we show how our model can be used to support scheduling in complex multiple sources, multiple destinations pipeline networks.

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Section: Discussionmentioning

confidence: 99%

Support of Scheduling of Multiproduct Pipeline Systems Using Simulation in Witness

Strachotova¹,

Dyntar²

2021

Int. j. simul. model.

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“…Zakikhani et al [13] developed a framework for maintenance scheduling for the external corrosion of gas transmission pipelines using the RCM planning technique. This framework is designed based on the pipeline reliability outline obtained from the Monte Carlo simulation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Plucknette [12] stated that based on the survey of more than 250 companies, over 85% of the RCM analysis had not been completely implemented. While the fundamental notion of the RCM method is simple, its implementation is tremendously complicated [13].…”

Section: Introductionmentioning

confidence: 99%

Critical Success Factors of the Reliability-Centred Maintenance Implementation in the Oil and Gas Industry

et al. 2020

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Reliability-Centred Maintenance (RCM) is a strategic process to improve the maintenance planning of companies which contributes to sustainable production. This method has been applied by numerous industries to achieve an efficient maintenance process, but many have not fully completed their goals. The reason for this failure is that RCM implementation is complex, and organisations need to have adequate preparations before they implement it. In the pre-implementation phase, it is necessary to know the number of Critical Success Factors (CSFs) as a critical measure for implementing the RCM method successfully. Therefore, it is important for practitioners to apply a symmetric mechanism involving fuzzy systems to achieve the desired RCM implementation. There are a limited number of studies that have observed these factors regarding the characteristics of oil and gas companies, especially in the pre-implementation phase. Addressing RCM pre-implementation issues is of high importance from the economic perspective of sustainability for oil and gas organisations. The objective of this study is to investigate significant items in RCM pre-implementation through a combination of quantitative and qualitative analyses. The Nominal Group Technique (NGT) method is applied by gaining the opinion of experts to determine the factors and prioritising them using mathematical modelling. A group of related experts from the oil and gas industry were initially interviewed and surveyed to determine the critical success factors. These identified factors were then analysed using quantitative analysis to identify the important degrees and scored using Fuzzy Analytic Network Process (FANP). Fifteen major factors affecting the criticality of successful RCM implementation have been identified and prioritised, based on their weights. The model proposed in this study could be used as a guideline for assessing CSFs in other countries. To apply the proposed model in different contexts, it needs to be modified according to the needs, policies, and perspectives of each country.

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“…The application of RCM is expected to produce optimal maintenance planning and maintenance intervals to prevent damage to equipment (assets) which can have a major impact on the operational system of the equipment and impact on the costs incurred to deal with the damage, reduce breakdown rates and system production downtime [10]. RCM is known to be a well-known method and is often used to maintain operational efficiency in important industrial sectors such as the power plant industry [11] [12], railway industry [13], oil and gas industry [14][15], and marine industry [16][17][18]. The application of RCM to a steam power plant according to Afefy (2010) can reduce labor costs for maintenance by 25.2% and savings of about 80% of the total downtime cost [19].…”

Section: Introductionmentioning

confidence: 99%

The Maintenance Task Allocation Analysis in Steam Power Plant: Case Study on Closed Cooling Water System

Siswantoro

Priyanta

Suminta

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The closed cooling system is one of the systems that functioned to ensure the cooling water supply can be continuously distributed and ensure that the production process does not cause the equipment or products to overheat, which can result in failure to the equipment and affect the production process due to downtime repair. Reliability Centered Maintenance (RCM) is one of the methods that can be used to analyze the cause of failure, impact, and determination of appropriate and effective maintenance tasks. The purpose of this research is to identify potential failures, determine the maintenance task and determine the optimal maintenance schedule in the closed cooling system of a steam power plant by using the Reliability Centered Maintenance method. The results of analysis on the closed cooling pump, heat exchanger, expansion tank, minimum flow valve, and level control valve obtained a total of 155 failure modes, of which 73% of total failure modes were identified as an evident failure and 27% identified as a hidden failure. While the results of the maintenance task recommendation obtained a total of 155 maintenance tasks which consists of 5 maintenance task categories. They are 88 (57%) of total failure modes recommended to scheduled on condition task, 38 (24%) scheduled restoration task, 20 (13%) scheduled discard task, 3 (2%) schedule finding failure, and 6 (4%) of total failure modes recommended to no scheduled maintenance.

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Availability-based reliability-centered maintenance planning for gas transmission pipelines

Cited by 28 publications

References 12 publications

Support of Scheduling of Multiproduct Pipeline Systems Using Simulation in Witness

Support of Scheduling of Multiproduct Pipeline Systems Using Simulation in Witness

Critical Success Factors of the Reliability-Centred Maintenance Implementation in the Oil and Gas Industry

The Maintenance Task Allocation Analysis in Steam Power Plant: Case Study on Closed Cooling Water System

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