AMPP Store - Individual Conference Papers

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Diffusion of Hydrogen into Pipeline Steel around an External Weld

Product Number: 51323-19403-SG

Author: William Mohr, Amin Moghaddas

Publication Date: 2023

$20.00

While dedicated hydrogen pipelines have been present on the Gulf Coast of the US for decades, new application opportunities are opening up for transportation of hydrogen as a greener fuel. Some opportunities may be for newly built transportation lines while others may use existing natural gas pipelines that are converted to wholly or partially carry hydrogen. A normal part of operating a pipeline system is reconfiguring the system to add new pipes by making tie-in welds joining the new pipe to the wall of the existing pipe.

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Diffusion Rate and Chemical Composition Variance of Nickel Alloys 625 Vs. 825 Multi-Layers

Product Number: MPWT19-15029

Author: Mohammad Al Sultan, Ahmed Al Maghlouth

Publication Date: 2019

$0.00

In this paper, a detailed analysis was performed to define the variance between both Nickel alloys 825 and 625 Multi-alloys. A comprehensive experiment and testing was done to evaluate both mechanical and chemical properties for the flanges with weld overlay, fittings and pipe components. The results of the study indicated several challenges and the gaps between both materials. Therefore, an initiative was led to promote the current process in order to prevent reoccurrence and mitigate associated consequences of failure by investigating and defining the root cause analysis. In order to ensure bridging the gaps, the paper concludes with a list of recommendations for the actions taken towards the material and vendor quality in order to proceed forward with the corrective actions and precautions for utilization whenever different PMI readings are found in cladding to continue supplying high quality products as expected.

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Digital Asset Transformation By Continuous Corrosion (Metal Thickness) Monitoring: Case Studies From European Refineries

Product Number: 51321-16795-SG

Author: Attila Gajdacsi; Jake Davies; Christoph Gillessen

Publication Date: 2021

$20.00

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Digital Data Management for Coating Inspection Tasks on Steel Structures

Product Number: 41209-475-SG

Author: John Fletcher

Publication Date: 2009

$20.00

A new software system has been developed to allow a plan to be created for the inspection tasks associated with the coating processes for a steel structure. This system uses a coatings library to create the coating systems that are to be applied to various user-defined zones of the structure. These zones are identified on a schematic drawing of the structure and then the coating systems and inspection regimes that are required can be associated with these zones.

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Digital Generation of Eddy Current Testing (ECT) for Inspection of Surface and Near-Surface Defects

Product Number: MECC23-20114-SG

Author: Lutfallah, Muhammed H; Hammali, Ahmed Y; Felemban, Tamim O; Alismail, Mohannad A

Publication Date: 2023

$20.00

In oil & gas industry, solid metal equipment such as pipelines, pressure vessels, heat exchangers and valves are susceptible to surface and sub-surface cracks and discontinuities attributed to cyclic loading and severe operating conditions. These anomalies affect the safety, structural functionality, reliability, integrity and life cycle of the equipment and if not detected timely, they could lead to catastrophic incidents. Consequently, this gave rise to the importance of different Non-Destructive Testing (NDT) methods and their abilities to detect and characterize surface discontinuity providing useful information to the structural integrity assessment.

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Digital Monitoring System of Saipem Pipelay Vessels Productivity Parameters

Product Number: MPWT19-15321

Author: Valerio Bregonzio, Valerio Bregonzio

Publication Date: 2019

$0.00

Saipem recently took a more integrated approach at production data collection and elaboration recently launched an advanced pilot project: the deployment of a vast data collection and analysis system in the production lines of its Flagship CastorONE. Data is collected from multiple sources by means of communication infrastructures and articulated network systems that allow to connect to different machines and equipment. The most meaningful data are identified and pre-filtered. The data are then processed, aggregated and subject to advanced analytics in order to extract useful information on the productivity, the main process parameters, building on its already available tools to manage welding productivity.
This enables Saipem not only to build an integrated, real-time, comprehensive representation of the on-going activities, but also to gain new and valuable insights on the efficiency of its vessels during and after the execution of projects, across different phases, making it easier to compare the productivity estimations with the field performances. The advantages of data-driven continuous improvement are discussed too. This paper will provide a general overview of the system and of the results reached.

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Digital Twin as a Tool for Extending In-Line Inspection Intervals

Product Number: 51324-20824-SG

Author: Keith Parker; Yanping Li; Christophe Baete; Victoria Chum; Trey Johnston

Publication Date: 2024

$40.00

Aging pipeline assets are a concern for many pipeline operators. As pipelines age, external corrosion control becomes more challenging and often results in more aggressive monitoring and maintenance activities such as more frequent in-line inspections (ILI) and direct examinations. A pipeline case study is discussed demonstrating how a digital twin based on mechanistic modeling was utilized as a proof of concept for identifying possible cathodic protection remedial actions to decrease external corrosion growth rates (CGR) with the goal of extending the ILI inspection interval from 3 to 5 years. Various remediations such as adjusting or adding cathodic protection and resolving interference are modeled and compared with the existing corrosion control configuration. An economic analysis is included to determine if theoretical remediations can reduce monitoring and maintenance costs while maintaining asset integrity.

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Digital Twin with Augmented Reality for Oil & Gas Assets

Product Number: MPWT19-15488

Author: Mark Stevens

Publication Date: 2019

$0.00

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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Digitalization of the Energy Sector Through Transformative and Emerging Technologies

Product Number: MPWT19-15486

Author: Tolu Sodeinde

Publication Date: 2019

$0.00

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

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Digitalization: Why It Matters [To AMPP Members] And How To Realize The Benefits

Product Number: 51322-17656-SG

Author: Ross Boyd

Publication Date: 2022

$20.00

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.

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Digitalized Corrosion Control Documents for Enhanced Refinery Mechanical Integrity and Reliability

Product Number: MECC23-20026-SG

Author: Sridhar Srinivasan; Gerrit Buchheim

Publication Date: 2023

$20.00

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.

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Dimensional Profiling: Providing Sustainable Slip Resistance with a Known Approximate Static Co-Efficient of Sliding Friction Value

Product Number: 41214-846-SG

Author: Tim Post, Mike Houx, Steven Schroeder

Publication Date: 2014

$20.00

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.

Individual Conference Papers

Association for Materials Protection and Performance