Comparison of API 510 pressure vessels inspection planning with API 581 risk-based inspection planning approaches

Shishesaz, Mohammadreza; Bajestani, Mohammad Nazarnezhad; Hashemi, Seyed Javad; Shekari, Elahe

doi:10.1016/j.ijpvp.2013.07.007

Cited by 22 publications

(11 citation statements)

References 7 publications

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“…The known application of risk-based approaches to the optimization of inspection plans is mainly aimed at inspection plans for potentially hazardous operating facilities (RIP) [31][32][33][34][35]. In [31,32], the influence of the uncertainty of variables on inspection plans of operating facilities was investigated.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

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Development of a method for optimizing a product quality inspection plan by the risk of non-conformity slippage

Haievskyi¹,

Kvasnytskyi²,

Haievskyi³

2020

EEJET

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Risk-based approaches are a feature of the modern quality management system. A method of optimization of product quality inspection plan by the risk of non-conformity slippage is proposed. The method is based on a risk ranking matrix, criteria of the failure mode and effects analysis (FMEA), block classification of inspection plans, approaches to non-conformity prediction, and probability multiplication theorem for independent events. The risk of non-conformity slippage was defined as a criterion of inspection plan optimization. The proposed method allows determining the acceptability of the risk, with 100 % quality inspection, in case of abandoning the inspection operation, the possibility of applying sampling and minimum sampling volumes necessary to ensure an acceptable risk level. Relationships were derived to determine the minimum required number of inspected units out of 1,000, with an acceptable risk level in product quality inspection. The initial data for the calculation are the main characteristics of the inspection plan: the probability of the object conformity with the requirements for the controlled quality characteristic, the probability of not detecting non-conformity with the provided inspection method, the rate of non-conformity slippage, which ensures an acceptable risk level. The formula allows calculating the minimum sampling volume that provides an acceptable level of non-conformity slippage risk during the implementation of the product quality inspection plan (QIP). The proposed method was tested on the inspection plan for welds of air tanks of the railway car braking system. It is possible to abandon the original 100 % inspection plan and apply sampling, which provides an acceptable level of non-conformity slippage risk. This allows reducing the volume and costs of inspection by 18 %

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…In [31,32], the influence of the uncertainty of variables on inspection plans of operating facilities was investigated. Possibilities of optimizing inspection intervals of operating facilities were defined in [33][34][35]. In the above works, inspection plans of operating facilities were investigated.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a method for optimizing a product quality inspection plan by the risk of non-conformity slippage

Haievskyi¹,

Kvasnytskyi²,

Haievskyi³

2020

EEJET

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“…The factor is derived from the results of an evaluation of a facility or operating unit's management systems that affect plant risk. EF is an adjustment factor applied to the generic failure frequency to account for equipment status which is active in a component [14,15].…”

Section: Quantification Of Rbimentioning

confidence: 99%

Application of Risk-Based Inspection method for gas compressor station

Zhang

Liang

Qiu

et al. 2017

J. Phys.: Conf. Ser.

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Abstract. According to the complex process and lots of equipment, there are risks in gas compressor station. At present, research on integrity management of gas compressor station is insufficient. In this paper, the basic principle of Risk Based Inspection (RBI) and the RBI methodology are studied; the process of RBI in the gas compressor station is developed. The corrosion loop and logistics loop of the gas compressor station are determined through the study of corrosion mechanism and process of the gas compressor station. The probability of failure is calculated by using the modified coefficient, and the consequence of failure is calculated by the quantitative method. In particular, we addressed the application of a RBI methodology in a gas compressor station. The risk ranking is helpful to find the best preventive plan for inspection in the case study. Keywords. RBI; Risk Analysis; Gas compressor station; IntroductionThe gas compressor station is the pressurizing part of the pipeline, once the explosion damage is great, and the shock waves generated great, huge shock waves also endanger the people and things surrounding. The integrity management in the gas compressor station is to identify and evaluate the risk of the gas compressor station by using scientific methods. It is a kind of advanced risk prevention and risk management method. Effective measures are taken to eliminate or reduce the impact of risk so that the risk can be controlled in the acceptable range. Finally, accidents are reduced to guarantee safety operation of the gas compressor station in an economic and reasonable way. RBI is an effective way to solve pressure vessel and pipeline integrity problems in the gas compressor station. By Risk analysis of pressure vessels or pipes, the failure mechanism and testing technology of the pressure vessel or pipeline can be determined. Further, inspection plan and spare parts plan can be optimized. Besides, the scientific decision can be provided to support for prolonging the service life and shortening the maintenance period [1]. The RBI technology originated in the nuclear power industry, in the 1970s. In 1985, the American society of mechanical engineering (ASME) set up a research group of risk analysis. From 1991 to 1999, the ASME have published the RBI guidance documents in different industries [2]. Because of the Det norske veritas (DNV) has the ability in risk management and the experience in performing integrity around the world for a long time [3], American Petroleum Institute (API) seeks cooperation with DNV in the Early 1990s. They have successfully transplanted the RBI technology to the integrity management of petrochemical equipment, and have promulgated the RBI technology in the field of two landmark

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“…FMS (Factor management systems) is derived from the results of an evaluation of a facility or operating unit's management systems that affect plant risk. DF is an adjustment factor applied to the generic failure frequency to calculating damage mechanisms that are active in a component [7].…”

Section: Probability Of Failurementioning

confidence: 99%

Risk analysis of heat recovery steam generator with semi quantitative risk based inspection API 581

Prayogo¹,

Haryadi²,

Ismail³

et al. 2016

AIP Conference Proceedings

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Comparison of API 510 pressure vessels inspection planning with API 581 risk-based inspection planning approaches

Cited by 22 publications

References 7 publications

Development of a method for optimizing a product quality inspection plan by the risk of non-conformity slippage

Development of a method for optimizing a product quality inspection plan by the risk of non-conformity slippage

Application of Risk-Based Inspection method for gas compressor station

Risk analysis of heat recovery steam generator with semi quantitative risk based inspection API 581

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