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Picture for From JIP to Digital Business - CUI Risk Manager
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From JIP to Digital Business - CUI Risk Manager

Product Number: 51319-12965-SG
Author: Amela Keserovic
Publication Date: 2019
$20.00

Corrosion Under Insulation (CUI) is a major challenge for different process industries. Today it is managed in many ways ranging from a full removal of insulation to a minimal maintenance including some inspection methods with insufficient non-destructive testing. These extremes exhibit a lack of understanding and a lack of systematic approach in managing the CUI risk globally.A joint industry project on CUI has developed a methodology that would help identify assess and mitigate the CUI risk in a systematic manner. Living in the age of digital transformation the resulting recommended practice is being digitalized into a web application that will offer its users an industry-recognized best practice in managing the CUI risk of their assets. The end-users will have the possibility to share their knowledge and learn from other users’ experiences through an established Globally Shared Database (GSD). Such synergy across the industries will enable a continuous methodology improvement and future development of the machine learning within the Application. Furthermore a separately developed feature will use digital twins of the users’ assets linked with assets’ integrity data and other relevant data providing more efficient communication and work processes. The ultimate goal of the Application is to ensure safe and reliable operations and thus improve the safety of life property and environment.Keywords: corrosion under insulation risk joint industry project web application globally shared database digital twin machine learning

Picture for Full Ring Test in Sour Environment - Importance of Testing Set-Up and Strain Monitoring
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Full Ring Test in Sour Environment - Importance of Testing Set-Up and Strain Monitoring

Product Number: 51324-20997-SG
Author: Aaron Aguilar; Fabio Arroyo; Phil Dent; Sebastian Cravero; João Costa
Publication Date: 2024
$40.00
Picture for Full-Scale Testing Validation and Quantification of Optimized Engineered Composite Repair Systems for Pipeline Repair
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Full-Scale Testing Validation and Quantification of Optimized Engineered Composite Repair Systems for Pipeline Repair

Product Number: 51319-13439-SG
Author: Matt Green
Publication Date: 2019
$20.00

For almost three decades composite repair technology has provided valuable alternatives to operating companies in maintaining the integrity of their high-pressure gas and liquid pipeline systems. Early adopters of the technology helped to push the usage of these beneficial materials to where they are today. As with all technology increased usage drives increased scope of usage and there have been extensive and comprehensive full-scale testing programs dedicated to pushing the boundaries and opening new defect repair options. These have been funded jointly by industry and manufacturers and have yielded successful results further showcasing the full range of benefits that composite materials can provide. Benefitting from this history and background allows for a better repair option based on experience and lessons learned. Development of new technologies methods and materials has been ongoing and results show improvements may be made by using lessons learned in conjunction with technologies now available.The contents of this paper focus and provide details on the development of specialized composite technologies for reinforcing anomalies such as corrosion and dents subjected to aggressive operating conditions. Additionally small-scale coupon-level testing results are used to characterize the effects of constitutive component changes in order to take the next steps prior to full-scaling including burst and cyclic pressure testing. Information is included on the initial design process used by engineers to optimize reinforcements using constitutive properties and insights from previous testing and research programs to guide the advancements in the understanding of the materials. Detailed test results and industry comparisons are included with information on how both coupon-level and full-scale test results can be used to assist operators in repairing and maintaining their pipeline systems using optimized composite reinforcing technologies.

Picture for Fundamental Mechanisms of Mild Steel Corrosion in H2S Containing Environments
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Fundamental Mechanisms of Mild Steel Corrosion in H2S Containing Environments

Product Number: 51319-12875-SG
Author: Aria Kahyarian
Publication Date: 2019
$20.00

The current understanding of the corrosion mechanisms in H2S containing environments considers the direct electrochemical reduction of H2S as the main contribution of this species to the corrosion process. Such an argument has been developed based on the distinctive behavior of cathodic polarization curves in H2S containing solutions as compared to the behavior observed in the solutions of strong acids or those in presence of other weak acids such as carboxylic acids and carbonic acid. The direct reduction of H2S is generally associated with the observation of a “double wave” in a cathodic polarization curve. In the present study the mechanism of cathodic currents in H2S containing acidic solutions was studied theoretically through a comprehensive mathematical model. The model includes a mechanistic description of main processes including mass transfer chemical reactions and electrochemical reactions. A quantitative analysis based on this model showed that all the characteristic behaviors previously associated with the direct reduction of H2S including the “double wave” behavior can be explained based on the homogeneous chemical dissociation of H2S as a weak acid and hydrogen ion reduction as the sole cathodic reaction. This analysis suggests that H2S is not a significant electroactive species and its main contribution to the corrosion process is through its buffering ability as a weak acid similar to other weak acids such as carboxylic acids and carbonic acid. In order to validate these mechanistic observations the results from this model were compared to existing experimental data from the open literature. The model was found to be able to capture the main characteristic experimental behaviors with reasonable accuracy further supporting this mechanistic argument.