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

Meniconi, Silvia; Brunone, Bruno; Tirello, Lorenzo; Rubin, Andrea; Cifrodelli, Marco; Capponi, Caterina

doi:10.3390/jmse12030391

Cited by 13 publications

(6 citation statements)

References 39 publications

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“…In addition, the planned steps ensure that the TTBTs are viable within the operational realities of SP management. The companion paper [48] describes the results of the fault detection procedure in detail.…”

Section: Discussionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

“…Once steady-state conditions are established, it is quickly (τ SDV ≃ 0.3 s) and fully closed in step #5. As discussed in detail in the companion paper [48], this maneuver ensures the generation of a small and then absolutely safe pressure wave.…”

Section: Field Procedures Breakdownmentioning

confidence: 99%

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

Meniconi,

Brunone,

Tirello

et al. 2024

JMSE

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“…Over more than half a century of development, both the technology and theory of acoustic emission have significantly improved and found extensive applications in various industries, such as civil engineering, petrochemicals, aerospace, and marine engineering [25][26][27][28][29][30][31], indicating a promising future. Meniconi, S et al [32,33] innovatively proposed a transient analysis method for fault diagnosis of underwater pipelines, which holds significant implications for the advancement of SHM techniques. Grabec I [34] simulated burst-type and continuous-type acoustic emission signals through experiments on aluminum strips and suggested that time delay estimation using the correlation method is feasible, laying the groundwork for subsequent applications of acoustic emission in pipeline leak detection.…”

Section: Introductionmentioning

confidence: 99%

An Improved Identification Method of Pipeline Leak Using Acoustic Emission Signal

Cui,

Zhang,

et al. 2024

JMSE

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Pipelines constitute a vital component in offshore oil and gas operations, subjected to prolonged exposure to a range of alternating loads. Safeguarding their integrity, particularly through meticulous leak detection, is essential for ensuring safe and reliable operation. Acoustic emission detection emerges as an effective approach for monitoring pipeline leaks, demanding subsequent rigorous data analysis. Traditional analysis techniques like wavelet analysis, empirical mode decomposition (EMD), variational mode decomposition (VMD), and complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) often yield results with considerable randomness, adversely affecting leak detection accuracy. This study introduces an enhanced damage recognition methodology, integrating improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and probabilistic neural networks (PNN) for more accurate pipeline leak identification. This novel approach combines laboratory-acquired acoustic emission signals from leaks with ambient noise signals. Application of ICEEMDAN to these composite signals isolates eight intrinsic mode functions (IMFs), with subsequent time–frequency analysis providing insight into their frequency structures and feature vectors. These vectors are then employed to train a PNN, culminating in a robust neural network model tailored for leak detection. Conduct experimental research on pipeline leakage identification, focusing on the local structure of offshore platforms, experimental research validates the superiority of the ICEEMDAN–PNN model over existing methods like EMD, VMD, and CEEMDAN paired with PNN, particularly in terms of stability, anti-interference capabilities, and detection precision. Notably, even amidst integrated noise, the ICEEMDAN–PNN model maintains a remarkable 98% accuracy rate in identifying pipeline leaks.

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“…The floatation of the pipeline will destroy the overall stability and ultimately affect the safety of the pipelines. The floatation capacity of seabed pipelines has long been considered a key risk element, and studying pipeline floatation is crucial for the checking procedures of subsea pipelines [1,2]. Therefore, to ensure seabed pipeline safety, it is essential to assess the dynamic reaction of the seabed pipeline to combined wave and current loadings, particularly when the pipeline floats.…”

Section: Introductionmentioning

confidence: 99%

Fully Buried Pipeline Floatation in Poro-Elastoplastic Seabed under Combined Wave and Current Loadings

Leng,

Liu,

Liao

et al. 2024

JMSE

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The floatation capacity of seabed pipelines has long been considered a key risk element during design, especially with the combined loading of waves and currents. This paper presents a two-dimensional coupled approach with a poro-elastoplastic theory to study the floatation of pipelines with the combined loading of waves and currents. The findings suggest that the proposed method is able to capture the mechanical performance of pipeline floatation. Pipeline floatation occurs in two distinct phases. In the initial phases, the pipelines float slowly with the cyclic loadings. In the second stage, when the backfill soil in the middle position of the pipelines begins to liquefy, the floating displacement increases obviously. The boundary constraints provided by the pipelines strengthen the backfill soil as well as accelerate the release of excessive pore water pressure. Meanwhile, a nonliquefiable region is formed under the pipelines. The floating displacement of the pipelines increases as well as current velocity, wave height, and wave period, and reduces with increased backfill soil permeability. Increasing the permeability coefficient of backfill soil can obviously restrain the floatation of pipelines.

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

Cited by 13 publications

References 39 publications

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

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

An Improved Identification Method of Pipeline Leak Using Acoustic Emission Signal

Fully Buried Pipeline Floatation in Poro-Elastoplastic Seabed under Combined Wave and Current Loadings

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