Save 20% on select best sellers with code MONSTER24 - Shop The Sale Now
Steel pipeline is the optimum choice for transporting oil and gas due to its excellent strength,material properties and cost. Some pipeline services require special attention to avoidcorrosion or erosion, e.g., corrosive water injection systems. To address this, internal linershave been introduced, including cement-lined to protect the pipelines from such conditions.Even though cement-liners enhance the reliability of the pipelines, there are still challengesrelated to inspection. The inspection of cement-lined pipelines is difficult with in-lineinspection tools (ILI) due to surface roughness of the cement, which impacts the movement.Also, the cement lining is too thick for the sensors of the ILI tool to measure the steelthickness through the liner.Cement-lined pipelines are frequently used for water injection system facilities wherecommon inspection techniques cannot be used due to inherent limitations. As safety,reliability and continuity are important at Saudi Aramco operations, the team spare no effortto ensure the integrity of these pipelines utilizing different inspection techniques. In 2017,electromagnetic acoustic transmission (EMAT) inspection technology was utilized for the firsttime on cement-lined pipelines at the water injection facilities. This paper describes thecapability and successful deployment of EMAT inspection technology.
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.
We are unable to complete this action. Please try again at a later time.
If this error continues to occur, please contact AMPP Customer Support for assistance.
Error Message:
Please login to use Standards Credits*
* AMPP Members receive Standards Credits in order to redeem eligible Standards and Reports in the Store
You are not a Member.
AMPP Members enjoy many benefits, including Standards Credits which can be used to redeem eligible Standards and Reports in the Store.
You can visit the Membership Page to learn about the benefits of membership.
You have previously purchased this item.
Go to Downloadable Products in your AMPP Store profile to find this item.
You do not have sufficient Standards Credits to claim this item.
Click on 'ADD TO CART' to purchase this item.
Your Standards Credit(s)
1
Remaining Credits
0
Please review your transaction.
Click on 'REDEEM' to use your Standards Credits to claim this item.
You have successfully redeemed:
Go to Downloadable Products in your AMPP Store Profile to find and download this item.
Corrosion continues to be a threat to the petroleum industry. It risks people’s lives, assets integrity and the environment. These risks are mitigated by different means such as selection of appropriate materials, chemical treatment, cathodic protection, protective coatings, and process control. One of the most common corrosion control measures is the use of corrosion inhibitors. This is a cost-effective option that can be applied to upstream, mid-stream and downstream facilities. This has driven the research institutes and the chemical manufacturers to invest on developing corrosion inhibitor chemistries for field-specific applications. In spite of all the efforts being put, there are still many important aspects about corrosion inhibition treatment that need to be researched for a better understanding of the chemicals’ performance, monitoring, laboratory testing, and field application. This paper highlights knowledge gaps to invite focused research to help bridging the gaps between operators, research institutes and developing companies. These gaps are classified in four main areas: Field Monitoring, Facility Design, Laboratory Testing, and Simulation & Prediction.