AMPP Store - Products tagged with 'risk based inspection'

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51316-7273-Corrosion Control of a Hydrocracking Unit Debutanizer Overhead System

Product Number: 51316-7273-SG

ISBN: 7273 2016 CP

Author: OMAR ALABDULGADER

Publication Date: 2016

$20.00

A Corrosion Control Plan was developed for a Debutanizer Overhead System, which had suffered from high corrosion rates and multiple leaks. This paper will outline the efforts undertaken and conclude with the Corrosion Control Plan, developed to enhance reliability and availability of the unit and mitigate corrosion damage.

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51316-7284-Management of Integrity Operating Window (IOW) for an Aging Gas Processing Plant

Product Number: 51316-7284-SG

ISBN: 7284 2016 CP

Author: Janardhan Saithala

Publication Date: 2016

$20.00

To ensure the safe operation of a gas processing plant, monitoring the Critical Process Variables (CPV) against the Integrity Operating Window (IOW) is a key element for compliance with the corrosion management framework. This paper is the operator’s experience in setting up the IOW management system in a gas processing plant and benefits gained.

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51318-11152-Risk Based Subsea Inspection Planning and Corrosion Management.

Product Number: 51318-11152-SG

Author: S. Haarberg / G. Ø. Lauvstad / J. C. Werenskiold

Publication Date: 2018

$20.00

A new field gradient (FG) measurement tool has been developed for cathodic protection (CP) inspection of subsea facilities. The paper presents a case where FG data and CP modelling have been used to optimize CP retrofit design, cutting costs by 50%.

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Corrosion and Risk Modelling Analytics

Product Number: 51324-20833-SG

Author: B. R. Shivadhanush; N. J. Laycock; M. Geeta; F. Samie; P. Panchami

Publication Date: 2024

$40.00

The CARMA (Corrosion and Risk Modelling Analytics) project aims to provide improved corrosion prediction capability by using Machine Learning techniques. For the selected system, the initial CARMA model is trained by using a combination of online process monitoring data as the input, combined with online corrosion monitoring data as the output. Once trained and validated, the resulting model can then be used to predict corrosion rates in similar systems or in other parts of the same system, without the need to install corrosion monitoring devices or carry out routine physical inspections at the same frequency as in the past. This paper provides an overview of the model development process for one example system, incorporating data from both online monitoring in the plant and from laboratory experiments.

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IR 4.0 Integrity Management Using Data Analytics

Product Number: MPWT19-15487

Author: Dr. Haaken Ahnfelt, Dr. Luis Caetano, Dr. Hilde Aas Nøst, Dr. Knut Nordanger, Reidar Kind, Dr. Zeeshan Lodhi, Dr. Lay Seong Teh

Publication Date: 2019

$0.00

One of the pillars of the fourth industrial revolution (4IR) is to let machines make decisions on behalf of humans; this paper describes new technology that allows machines to decide inspection programs and field validation and testing of results. The technology described is a part of integrity management, and uses data, statistics and expert decisions to design inspection programs. These inspection programs are an important part of the safeguarding of equipment to maintain production and safety.
This technology is a data-driven predictive model of material loss from corrosion, based on domain expert input and historical data in the form of non-destructive testing (NDT) tests. The technology trends is based on historical data and SME input, while accounting for uncertainties in NDT measurements, with uncertainties in historical trends and uncertainties in future trends. This produces a more realistic failure prediction to enhance existing RBIs and adds safety by improving on early detection of trends in data. In total, this enables the machine to update inspection plans autonomously, reducing the number of inspections significantly.
The paper also describes how the technology can be developed further to use production data and integrity operating windows to improve predictions, deal with localised corrosion and assess if the test points on a corrosion circuit are sufficient, can be reduced in number or should be manually evaluated by adding more test points.

Products tagged with 'risk based inspection'

51316-7273-Corrosion Control of a Hydrocracking Unit Debutanizer Overhead System

51316-7284-Management of Integrity Operating Window (IOW) for an Aging Gas Processing Plant

51318-11152-Risk Based Subsea Inspection Planning and Corrosion Management.

Corrosion and Risk Modelling Analytics

IR 4.0 Integrity Management Using Data Analytics

Association for Materials Protection and Performance