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Performance Test Results of New Artificial Non-Metallic Abrasive

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Abrasive material forms a major component for surface preparation in coating applications. Since blastin
g method developed in 1890s, abrasive materials and its application methods also significantly improve
d to enhance blasting efficiency. In general, steel grit and shot ball are being used predominantly as me
tallic abrasives. Garnet and coal slag are used as non-metallic abrasives. Each abrasive is selected and
applied in accordance with the work location and substrate material of structures to be coated. In this st
udy, we have evaluated a new artificial non-metallic abrasive (ferrochrome slag) which is a by-product fr
om ferrochrome production process for stainless steel. This evaluation also included the checking of sur
face cleanliness performance and coating quality based on international test methods and field trials. Fo
r verifying the cleanliness quality, various tests were conducted as per international standards (ISO 850
1-8503). Sea water immersion test (ISO 2812-2) and cyclic test (ISO 12944-9) were carried out to check
coating performance after blasting. The field test results indicates that all inspection and quality criteria o
f surface preparation were met as per international standards. Furthermore, coating performance test re
sults also showed this abrasive does not have any adverse effect on coating properties.

Product Number: MPWT19-14265
Author: Sangki Chi, Ebad ul Haque, Shaj K. Manjalivalapil
Publication Date: 2019
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51318-11132-Surface Soluble salt concentration effect on long life offshore coatings systems performance

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The purpose of this work is to study the impact of the quality of steel surface preparation and the level of soluble salt contamination on the performance and durability of protective coating systems.
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A Prediction and Inspection Technology for Detecting the Corrosion Under Insulation

Product Number: MPWT19-15162
Author: Ayman Amer, Ali Al Shehri, Vincent Cunningham, Ihsan Taie
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Corrosion under insulation (CUI) is a critical challenge that affects the integrity of assets for which the oil and gas industry is not immune. Over the last few decades, both downstream and upstream industry segments have recognized the magnitude of CUI and challenges faced by the industry in its ability to handle CUI risk-based assessment, predictive detection and inspection of CUI. It is a concern that is hidden, invisible to inspectors and prompted mainly by moisture ingress between the insulation and the metallic pipe surface. The industry faces significant issues in the inspection of insulated assets, not only of pipes, but also tanks and vessels in terms of detection accuracy and precision. Currently, there is no reliable NDT detection tool that can predict the CUI spots in a safe and fast manner. In this study, a cyber physical-based approach is being presented to identify susceptible locations of CUI through a collection of infrared data overtime. The experimental results and data analysis demonstrates the feasibility of utilizing machine-learning techniques coupled with thermography to predict areas of concern. This is through a simplified clustering and classification model utilizing the Convolutional Neural Networks (CNN). This is a unique and innovative inspection technique in tackling complex challenges within the oil and gas industry, utilizing trending technologies such as big data analytics and artificial intelligence.
Picture for Biodegradable Antifouling Coating
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Biodegradable Antifouling Coating

Product Number: MPWT19-15293
Author: Mohammad Mizanur Rahman
Publication Date: 2019
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Due to the regulations of toxic biocidal products in marine environments, the development of nontoxic antifouling (AF) coatings has become required. The development of nontoxic antifouling formulations implies the use of ingredients (such as: polymers, additives and pigments) that are devoid of toxicity towards marine environments. In this regard, erodible coatings, based on biodegradable polymer, are used to respond to this problem. Recently, polyurethane (PU) has been adopted into antifouling coating due to its ability to migrate the certain functional groups which resist the attachment of fouling. Biodegradation of PU can accelerate the erodible properties which ultimately improve the antifouling properties. In this study, a series of biodegradable PU coatings was formulated by tuning biodegradable polyol. The antifouling performance was evaluated after certain intervals.
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