Necessity and suitability of in-line inspection for corrosion resistant alloy (CRA) clad pipelines

Reda, Ahmed; Shahin, Mohamed A.; Sultan, Ibrahim; Amaechi, Chiemela Victor; McKee, Kristoffer K.

doi:10.1080/17445302.2022.2117928

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…First, sample containing noise is input, which is mapped to reconstruction vector by a multilayer superimposed noise reduction autoencoder. The feature extraction process of the encoder can be defined by formula (1), and the reconstruction process of the decoder can be represented by formula (2):…”

Section: A Superposition Noise Reduction Auto-codingmentioning

confidence: 99%

“…In the process of oil pipeline production and service, pig tracking and localization technology plays a crucial role in ensuring the smooth pigging operation [1] Cleaning sediment and impurities in the pipeline through pigging operation during the service of the pipeline can improve the efficiency of pipeline transportation, reduce the wear of the inner wall of the pipeline, and effectively extend the service life of the pipeline. However, during the pigging operation of the pipeline, pigs stuck, which could not be located in real time, brought great trouble to the field staff [2] Therefore, the real-time localization of pigs is a powerful measure to ensure pigging operation, which is very important to ensure the normal and stable operation of oil pipelines, improve transportation efficiency and ensure safe production [3].…”

Section: Introductionmentioning

confidence: 99%

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Tracking and Localization Method of Pipeline Pigs Based on a Noise Reduction Autoencoder

et al. 2024

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In the pigging operation of an oil pipeline, the traditional pigging localization method can only achieve fixed-point detection and cannot track continuously. To ensure the normal operation of the pigging operation and track and locate the pig in a timely manner, a tracking and localization method of an oil pipeline pig based on a noise reduction autoencoder is proposed. First, using the advantages of U-Net (U-shaped Convolutional Neural Network) multi-scale feature extraction, combined with coding and residual-dense blocks, U-Net combined with Residual Dense Block U-shaped Network (RDBU) was proposed for noise reduction, and then real-time localization was calculated out based on the negative pressure wave localization formula of pigs. The experimental results show that, compared with the traditional method, the SNR of the RDBU is increased by 0.9dB and the root mean square error is reduced by 14.92%. The denoising algorithm in this paper can effectively eliminate the noise of the negative pressure wave signal of pigs.

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Section: A Superposition Noise Reduction Auto-codingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tracking and Localization Method of Pipeline Pigs Based on a Noise Reduction Autoencoder

et al. 2024

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“…In the case of SPs, the problem of the inaccessibility of ground transmission mains is exacerbated. As a result, reliable routine inspection and monitoring technologies are needed to ensure a long service life [6]. Recently, to realize efficient remote control and monitoring, downtime prediction, and risk reduction, the digital twin has been discussed as a powerful technology [7].…”

Section: Introductionmentioning

confidence: 99%

Transient Tests for Checking the Trieste Subsea Pipeline: Toward Field Tests

Meniconi,

Brunone,

Tirello

et al. 2024

JMSE

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Subsea pipelines are vital arteries transporting oil, gas, and water over long distances and play a critical role in the global resource supply chain. However, they are the most vulnerable to damage from both human-made and natural causes and are characterized by inherent inaccessibility. As a result, routine inspection and monitoring technologies, both reliable and at the lowest possible cost, are needed to ensure their longevity. To fill this need, the use of transient-test-based techniques is proposed. In this first paper of a set of two companion papers, attention is focused on the selection of the appropriate maneuver that generates pressure waves and then on the planned steps—i.e., the sequence of actions—functional to the execution of the transient tests in the best flow conditions for effective fault detection. A brief review of the available fault detection technologies with their limitations is also offered. Finally, the performance of the proposed procedure is evaluated mainly in terms of the stability of the pressure regime prior to the execution of the transient test.

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“…As described in [2], historically, Smart Pigging, Acoustic Monitoring, Remotely Operated Vehicles, and diving constitute the foundational methods for pipeline inspection. Each of these techniques is marked by significant costs and certain limitations, e.g., [3][4][5][6][7][8]. In this perspective, the hydraulic characterization of the small-diameter side discharge valve (SDV) used to generate a safe transient was carried out.…”

Section: Introductionmentioning

confidence: 99%

Transient Tests for Checking the Trieste Subsea Pipeline: Diving into Fault Detection

Meniconi,

Brunone,

Tirello

et al. 2024

JMSE

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Fault detection in subsea pipelines is a difficult problem for several reasons, and one of the most important is the inaccessibility of the system. This criticality can be overcome by using transient test-based techniques. Such an approach is based on the execution of safe transients that result in small over pressures (i.e., on the order of a few meters of water column). In our companion paper, the procedure involving the transient tests was described in detail. This paper analyses the results of the field tests carried out and identifies wall deterioration in some sections of the pipeline. Attention is focused on the numerical procedure based on the joint use of a 1-D numerical model simulating transients in the pressurized flow and analytical relationships and providing the transient response of anomalies such as leaks and wall deterioration. The results obtained are essentially confirmed by the survey carried out by divers.

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Necessity and suitability of in-line inspection for corrosion resistant alloy (CRA) clad pipelines

Cited by 6 publications

References 6 publications

Tracking and Localization Method of Pipeline Pigs Based on a Noise Reduction Autoencoder

Tracking and Localization Method of Pipeline Pigs Based on a Noise Reduction Autoencoder

Transient Tests for Checking the Trieste Subsea Pipeline: Toward Field Tests

Transient Tests for Checking the Trieste Subsea Pipeline: Diving into Fault Detection

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