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Picture for Intelligent Corrosion Prediction using Bayesian Belief Networks
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Intelligent Corrosion Prediction using Bayesian Belief Networks

Product Number: 51319-13372-SG
Author: Michael Smith
Publication Date: 2019
$20.00

Accurate knowledge of corrosion location severity cause and growth rate is critical to pipeline integrity and in‑line inspection (ILI) is widely regarded as the most reliable and convenient method of obtaining such knowledge. Much industry effort has therefore centred on improving the metal loss detection and sizing capabilities of ILI tools.However when ILI data are lacking or unattainable operators must seek alternative ways to monitor the integrity of an asset. For managing internal corrosion Internal Corrosion Direct Assessment (ICDA) is perhaps the best known alternative. ICDA employs the engineering analyses of corrosion and flow modelling to identify areas at high risk from internal corrosion. The highest priority areas are excavated and directly examined in order to establish the condition of the pipeline. This combination of corrosion and flow modelling can be used to provide detailed corrosion predictions but in the absence of ILI data selection of excavation sites can be problematic. The inherent randomness and uncertainty in the models means that the outputs must often be overly conservative; consequently ICDA can be a costly process with no guarantee of quality.The shortcomings of ICDA (and related methods) create a need for a more reliable and accurate corrosion prediction solution which does not require a pipeline to be inspected using ILI. This paper explores the use of Bayesian Belief Networks (BBNs) for this purpose. BBNs are graphical models capable of integrating expert knowledge and data into a single system; ‘expert knowledge’ is captured through industry standard corrosion modelling techniques while ‘data’ is captured through historical ILIs for piggable pipelines. A trained BBN can then be used to make predictions for pipelines without ILI data based on a knowledge of their operational conditions alone.Using case studies on real pipelines it is demonstrated that BBNs can lead to more intelligent predictions of internal corrosion behaviour and improved pipeline integrity management decisions.

Picture for Interaction of a Faulty AC Power Conditioning Capacitor Bank with Welded Steel Pipeline
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Interaction of a Faulty AC Power Conditioning Capacitor Bank with Welded Steel Pipeline

Product Number: 51321-16221-SG
Author: Cal Chapman, P. E.
Publication Date: 2021
$20.00
Picture for Internal Corrosion Threat Assessment Using Operational Data and Comparison with ILI Results
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Internal Corrosion Threat Assessment Using Operational Data and Comparison with ILI Results

Product Number: 51315-6001-SG
ISBN: 6001 2015 CP
Author: Dharma Abayarathna
Publication Date: 2015
$20.00
Picture for Internal Visual Inspection of Field Girth Welds using Wireless Crawler Robot
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Internal Visual Inspection of Field Girth Welds using Wireless Crawler Robot

Product Number: MPWT19-15001
Author: Ahmed F. Al-Rashidi, Turki F. Al-Shehri, Isa H. Al-Mudaibegh, Dr. Aziz U. Rehman
Publication Date: 2019
$0.00

The integrity of new pipeline projects is critical to Saudi Aramco to avoid any short or long-term impact on the supply of energy. During construction activities, pipeline internal welding inspection is carried out in compliance with international and Saudi Aramco requirements. The visual inspection of internally cladded girth welded pipes requires extra care to avoid any improper field fabrication errors during welding, especially at the root pass area. Such errors can limit the inspection capability and compromise the integrity of pipeline network with possible degradation of corrosion resistance at/near the weld rot, resulting in premature failures. Currently, projects utilize conventional tools such as borescope which is time consuming with limited inspection capabilities (up to 150 meters inside the pipe) and system maneuverability at inspection locations.
The Saudi Aramco Inspection Department enhanced their active inspection technology program and collaborated with a local technology developer. They trialed a wireless crawler robot, which is a high resolution remotely operated robot capable of inspecting internal girth welds with 5000 meters travel capability inside the pipes. The robot can inspect internal girth welds in the field, and inside pipelines with internal diameters of 6 inches and above, and wirelessly transmits the visual inspection results to the outside control room for a timely assessment and critical decision making. The internal visual inspection with wireless crawler robot will help in improving the project progress, reducing repair costs, by identifying defective welds before coating application.