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Digitalization is the use of digital technologies and digitally-enabled approaches to enable or improve business models and processes. The use of remote tablets to capture inspection data in real-time and the use of streaming video are key examples of digitalization. The addition of sensors to monitor the health of an asset is a component of enabling a digital twin concept, which is enabled with historical, real-time and forecast data. This document presents current use cases on the use of digital twin platforms to visualize assets and provide context for operational data. The use of hyperspectral sensors to help enhance the digital twin environment adds lifecycle features that enable more efficient condition monitoring. An overview of the BIM (Building Information Modeling) service supporting the digital lifecycle of 3-D/2-D model integrations will be discussed. This will also include the use of AR/VR devices including Microsoft’s Hololens and the delivery of ‘model load packages’, which allows the user to view the various models required to integrate with Hololen’s features. The combined use of augmented inspection reporting and corrective maintenance instructions allows for a streamlined inspection approach through the use of in situ sensors and mobile inspection campaigns.
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Organizations are undergoing radical changes to improve their business performance to stay competitive in today’s digital environment. From the C-suite to shop floor, decision makers are going through radical rethinking (and exploring new ways) of how their organizations utilize and manage the intersection of technology, people, and processes to fundamentally change the way they do business, remain competitive, and maximize business value for their customers.The “fourth industrial revolution” (Industry 4.0) brought about digitization of data and information. With “internet of things” (IoT) sensors, companies are able to capture information that was inaccessible digitally prior and make it available for optimizing production, enhancing performance, and improving reliability of operating assets. Industrial IoT (IIoT) technologies are now commonplace in the energy sector; employed across upstream, downstream, and midstream assets, as well as in utilities. However, with increased deployments and adoption of IIoT also comes the need to deploy latest technologies in pursuit of new business models.The energy sector and particularly the oil and gas industry has traditionally been slow in adopting new and emerging technologies. Other sectors of the economy are undergoing disruption at a much faster pace than the energy sector, with new Startups using technology to radically change interaction of people and processes, develop new business models, and create value. However, in recent years, technology is being employed not only to replace manual processes with automated electronic systems, but to reinvent ways oil and gas companies do business, execute work functions, and interact with customers. Disruptive technologies are being harnessed and deployed at scale by connecting machines and intelligent devices to create a smart network of interconnected systems across the value chain. However, the depth of what can be achieved is yet to be fully harnessed.For instance, analyzing industry data collected on a large scale both at the edge and on cloud to identify operational patterns and make optimal business predictions across the value chain. The“fifth industrial revolution,” Industry 5.0 is the new emerging industrial technology that enables collaboration between humans and smart systems. Industry 4.0 lays the foundation for this next emerging technology that incorporates human behavior and cognitive capabilities into industry automation
In this presentation, we will cover how digitalization impacts industrial processes, how to ensure your digitalization initiative is successful, and where to start and what to expect when implementing mobile technology and software. We will address these points using proven examples of successful digitalization related to the corrosion industry.
Refinery operations, characterized by significant process complexities, have traditionally remained as a domain where accurate asset integrity and life prediction have been difficult to achieve. Such difficulty stems from the need to characterize and manage corrosion across different critical process units and parameters; quantifying corrosion has thus become a key factor in ensuring asset integrity, and absence of appropriate corrosion management strategies has often been the cause of some of the most destructive and expensive corrosion failures. Managing corrosion in refineries is a complex task, given the engineering intricacies associated with the processes and operations.
Dimensional Profiling is a new prospective of applying sustainable non-slip characteristics to the surface of polymeric flooring and coating systems. Over the last three decades, it has been commonplace in the industry to provide a single nonslip media profile.
Ferric chloride corrosion testing has been used to detect the presence of deleterious intermetallic phases and non-metallic precipitates in duplex stainless steels, such as sigma, Chi and chromium nitrides, for several decades. These corrosion tests are normally specified alongside metallographic assessment and impact testing as combined measures to demonstrate that these materials have been processed and heat treated in a satisfactory manner and exhibit suitable microstructures which should give the required mechanical and corrosion (and cracking) resistance.
Due to the strength, ductility, fracture toughness, corrosion resistance and especially the coefficient of thermal expansion, which is between stainless steel and low alloy steel, Ni-based alloys are used as weld metals in BWR and ABWR internals. Ni-based alloys with high chromium (Cr) concentration, such as Alloy 52 (Cr: 28-31.5 wt.%), Alloy 52i (Cr: 26-28 wt.%) and so on are expected to have higher SCC resistance than 182 (Cr: 13-17 wt.%) and Alloy 82 (Cr: 18-22 wt.%) in BWR environment.
In this paper, a new concept named CP by distributed sacrificial anodes (DSA) is presented. The main principle of CP by DSA is to convert cathode area to anode area by distributing anode mass over the surface of the equipment to be protected.
In pipeline corrosion management practice, one challenge is how to locate the most corrosive area along the right-of-way of an existing pipeline. Pipeline networks are complex systems containing different grades of multiphase crude oil coming from dissimilar reservoirs, which results in fluids having dissimilar chemical and physical properties along each network. The fluid starts flowing into a pipeline at a certain pressure, temperature, and associated velocity.
Departmant of Defense Specifications/standards for the prevention and control of corrosion in the aerospace field.