AMPP Store - Products tagged with 'risk based inspection (rbi)'

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An Insight to the RBI of Corrosion under Insulation (CUI) and Corrosion under Fireproofing (CUF)

Product Number: 51324-21057-SG

Author: Yashar Behnamian; Duane Serate; Gordon Cheuk Hei Ho; Aaron Mcdonald; Simon Yuen

Publication Date: 2024

$40.00

This paper covers the risk-based inspection (RBI) practices to address external corrosion under insulation (CUI) and corrosion under fireproofing (CUF). The paper discusses risk-based inspection practices of the external corrosion of carbon and low-alloy steels under insulation and fireproofing and the external chloride stress corrosion cracking (ECSCC) of austenitic and duplex stainless steels under insulation, and the external stress corrosion cracking of carbon steel under mineral wool insulation. The RBI methodology described consists of 4 steps, including unit level prioritization, challenging the need for insulation, data validation, and detailed RBI analysis. These steps work together to identify units at higher risk of CUI and CUF, develop an appropriate inspection plan to mitigate CUI and CUF, enhance personnel safety, and reduce unnecessary expenditures. The risk of CUI and CUF failure can be quantified by considering the likelihood of occurrence and severity of consequence.

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CUI Assessment Near Insulation Support Rings Using Pulsed Eddy Currents

Product Number: 51323-19031-SG

Author: Donald Picard, Olivier Bellavance, Charles Tremblay, Andréanne Potvin

Publication Date: 2023

$20.00

Pulsed Eddy Currents (PEC) is an electromagnetic inspection method for detecting thickness variations in carbon steel and cast iron through various insulation and/or protective components. It is also resilient to liftoff variations, making it a valuable technique for Corrosion Under Insulation (CUI) assessment. The technology is widely used in the energy and petrochemical industries to detect and estimate the extent of corrosion in insulated or fire-proofed components like pipes and tanks without removing the covering.

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Future of Digital Corrosion Management (Case Study)

Product Number: MECC23-20307-SG

Author: Shadi Hamati; Mahmoud Hanafy

Publication Date: 2023

$20.00

The process of digitalization is widely regarded as one of the last remaining cost-efficiency levers left following a sustained period of pressure to reduce operating costs and enhance efficiency. A new digital platform for seamlessly integrating Corrosion and Chemical Management (CCM) program with online real time monitoring is discussed in this article, refer Figure 1. The key objective is to establish full integration of real-time corrosion data with various parameters related to corrosion control.

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Process Development for Mechanistic Corrosion Models: Building, Validating, and Leveraging for Robust Outcomes

Product Number: 51324-20871-SG

Author: Daniel Fingas; Scott McKelvey; Keith Parker

Publication Date: 2024

$40.00

Computer modelling and simulation holds the promise of improved outcomes and more efficient resource allocation. However, attaining these results requires careful consideration of model inputs, robust mechanistic or probabilistic characterizations, delineation of assumptions, validation of outputs versus available data, and the appropriate use of model results. Formalizing these steps is necessary to ensure that checks and balances are implemented transparently and can be audited if necessary. A process has been developed by which a mechanistic corrosion model can be built, validated, and used. The most critical aspect of the process is the validation, by which the model can be tested and shown to be accurate within an acceptable tolerance. Nevertheless, the clear definition of the overall process allows the model to be properly understood, including the necessary context of inputs, assumptions, limitations, and uncertainty. Thus, the process allows the model output to be relied upon for managing risk and maintaining system integrity by both operators and regulators.

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Reducing CUI Risk with Remote Monitoring in Cold Duty Insulations

Product Number: 51323-19065-SG

Author: A. Oskuie, A. Pidcock, J. Sumner, P. Sharma, S. Impey, C.M. Pinon, H, Yeung

Publication Date: 2023

$20.00

The range of factors affecting the susceptibility of equipment to corrosion under insulation (CUI)
are numerous. Some of these factors might be controlled through better design, more robust
installation procedures, and using better quality coatings. However, there are other risk factors such as operating temperature, material type, and environmental conditions that cannot be easily modified.

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Systematic Approach toward Damage Mechanism Reviews and Mechanical Integrity Improvements for Ammonia Synthesis and Fertilizer Facilities

Product Number: 51323-19349-SG

Author: Michael Nugent, Daniel J. Benac, Sean Berg

Publication Date: 2023

$20.00

The use of Damage Mechanisms (DM’s) has been successfully developed and applied in the Oil Refining
industry for over 20 years. A damage mechanism is a specific combination of mechanical, chemical,
physical, or other processes that result in equipment degradation (piping or equipment) during operation
(active or shut down). These have been defined for Oil Refining (API RP 5711). API RP 571 is
supplemented with some similar and some specific individual damage mechanism, by technical reports, recommended practices, publications, and bulletins from API, as well as from the National Association of
Corrosion Engineers (NACE - now known as the Association for Materials Protection and Performance
or AMPP), and the Welding Research Council (WRC).

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The Virtual Corrosion Engineer For Soil Side Corrosion Prediction And Cathodic Protection Status Monitoring

Product Number: 51322-17677-SG

Author: Vishnu Sivadasan, Emad Daher, Tom Bos, Nicholas Laycock

Publication Date: 2022

$20.00

Corrosion is a ubiquitous phenomenon, which can have massive impacts on the functioning of industrial assets. The threat of corrosion is exacerbated in situations where regular corrosion inspections are difficult. The Virtual Corrosion Engineer (VCE) Project within Shell is intended to offer a solution to this problem by automatically assessing the corrosion rates and threat levels in assets due to a variety of corrosion mechanisms. The VCE system has been deployed in an asset progressively since 2019.