Regulatory requirements related to risk-based inspection and maintenance

Schröder, H.-Ch.; Kauer, Robert

doi:10.1016/j.ijpvp.2004.07.002

Cited by 13 publications

(6 citation statements)

References 2 publications

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“…Acceptance can be based on some criteria such as ALARP (As Low As Reasonably Practicable), MEM (Minimum Endogenous Mortality) or GAMAB (Globalement Au Moins Aussi Bon). The ALARP criterion is the most used in practice because it is a flexible approach where the risk area is divided in three zones, which should be defined before the risk analysis [23].…”

Section: Risk Analysismentioning

confidence: 99%

Establishment of optimal physical assets inspection frequency based on risk principles

Ferreira¹

2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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Section: Risk Analysismentioning

confidence: 99%

Establishment of optimal physical assets inspection frequency based on risk principles

Ferreira¹

2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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“…However, comprehensive inspection for all equipment in the system is not financially feasible due to the high cost of performing inspection. Prescriptive/time-based inspection used to be the industry standard for developing the inspection plan for individual equipment (Schröder and Kauer, 2004). In recent years, prescriptive inspection planning has been replaced by risk-based inspection (RBI) planning, which emphasizes on inspecting equipment that possesses the most risk to the system (Shishesaz et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Corrosion loop development of oil and gas piping system based on machine learning and group technology method

Rachman

Ratnayake

2019

JQME

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Purpose Corrosion loop development is an integral part of the risk-based inspection (RBI) methodology. The corrosion loop approach allows a group of piping to be analyzed simultaneously, thus reducing non-value adding activities by eliminating repetitive degradation mechanism assessment for piping with similar operational and design characteristics. However, the development of the corrosion loop requires rigorous process that involves a considerable amount of engineering man-hours. Moreover, corrosion loop development process is a type of knowledge-intensive work that involves engineering judgement and intuition, causing the output to have high variability. The purpose of this paper is to reduce the amount of time and output variability of corrosion loop development process by utilizing machine learning and group technology method. Design/methodology/approach To achieve the research objectives, k-means clustering and non-hierarchical classification model are utilized to construct an algorithm that allows automation and a more effective and efficient corrosion loop development process. A case study is provided to demonstrate the functionality and performance of the corrosion loop development algorithm on an actual piping data set. Findings The results show that corrosion loops generated by the algorithm have lower variability and higher coherence than corrosion loops produced by manual work. Additionally, the utilization of the algorithm simplifies the corrosion loop development workflow, which potentially reduces the amount of time required to complete the development. The application of corrosion loop development algorithm is expected to generate a “leaner” overall RBI assessment process. Research limitations/implications Although the algorithm allows a part of corrosion loop development workflow to be automated, it is still deemed as necessary to allow the incorporation of the engineer’s expertise, experience and intuition into the algorithm outputs in order to capture tacit knowledge and refine insights generated by the algorithm intelligence. Practical implications This study shows that the advancement of Big Data analytics and artificial intelligence can promote the substitution of machines for human labors to conduct highly complex tasks requiring high qualifications and cognitive skills, including inspection and maintenance management area. Originality/value This paper discusses the novel way of developing a corrosion loop. The development of corrosion loop is an integral part of the RBI methodology, but it has less attention among scholars in inspection and maintenance-related subjects.

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“…In view point of the safety and economical efficiency of equipment, reliable guidance for inspection and repair should be established. Thus, several risk-based inspection (RBI) methodologies for industrial plants have been developed and can be utilized to draft an optimum inspection plan based on the risk of individual equipment [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessments of Columns Using RBI Program in Petrochemical Plant

Lee

Chang

Choi

et al. 2006

SSP

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Risk-based inspection (RBI) guideline based on API 581 provides a methodology for calculating the risks of equipment in refinery or petrochemical plant. However, there is a major limitation of its application to the petrochemical plant directly since only a representative material is considered in calculating the risk, especially in part of the consequence of failure, even though the equipment is composed of numerous materials. The objectives of this paper are to develop an enhanced RBI program to resolve shortcoming inclusive of the above issue and to evaluate the risks of equipment in petrochemical plant using the program. In this respect, the mole fractions of materials were used to fully incorporate the characteristics of different materials. The proposed RBI program consists of qualitative, semi-quantitative and quantitative risk evaluation modules in which toxic materials as well as representative materials were selected automatically for comparison with those in the current guideline. The RBI program has been applied to evaluate the risks of equipment in Naphtha Cracking Center (NCC) which is a typical facility of petrochemical plant. Thereby, promising evaluation results were obtained and applicability of the proposed RBI program was proven.

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Regulatory requirements related to risk-based inspection and maintenance

Cited by 13 publications

References 2 publications

Establishment of optimal physical assets inspection frequency based on risk principles

Establishment of optimal physical assets inspection frequency based on risk principles

Corrosion loop development of oil and gas piping system based on machine learning and group technology method

Risk Assessments of Columns Using RBI Program in Petrochemical Plant

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