Petroleum Science, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(7), P. 11438 - 11449
Published: Feb. 16, 2024
To address the issue of multipoint leakage detection in energy transportation systems, a multiscale convolutional neural network based on kurtosis and Kullback-Leibler divergence (KKL-MSCNN) was proposed for systems. Initially, collected infrasound data undergo complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN). Furthermore, hierarchical processing technique intrinsic functions (IMFs) is to reconstruct IMFs at two different feature levels. Following this, lightweight MSCNN constructed, comprising channels. The reconstructed IMF features are then extracted through serial parallel convolution varying scales, facilitating completion pipeline level classification. In comparison conventional methods, approach achieves significant 20.26% increase accuracy detection.
Language: Английский
Citations
15
Sensors, Journal Year: 2024, Volume and Issue: 24(12), P. 4009 - 4009
Published: June 20, 2024
Detecting pipeline leaks is an essential factor in maintaining the integrity of fluid transport systems. This paper introduces advanced deep learning framework that uses continuous wavelet transform (CWT) images for precise detection such leaks. Transforming acoustic signals from pipelines under various conditions into CWT scalograms, followed by signal processing non-local means and adaptive histogram equalization, results new enhanced leak-induced scalograms (ELIS) capture detailed energy fluctuations across time-frequency scales. The fundamental approach takes advantage a belief network (DBN) fine-tuned with genetic algorithm (GA) unified least squares support vector machine (LSSVM) to improve feature extraction classification accuracy. DBN-GA precisely extracts informative features, while LSSVM classifier distinguishes between leaky non-leak conditions. By concentrating solely on capabilities ELIS processed through optimized DBN-GA-LSSVM model, this research achieves high accuracy reliability, making significant contribution monitoring maintenance. innovative capturing complex patterns can be applied real-time leak critical infrastructure safety several industrial applications.
Language: Английский
Citations
15
Ocean Engineering, Journal Year: 2024, Volume and Issue: 308, P. 118293 - 118293
Published: June 5, 2024
Language: Английский
Citations
13
Journal of Pipeline Science and Engineering, Journal Year: 2023, Volume and Issue: 3(4), P. 100129 - 100129
Published: May 18, 2023
Pipeline is the most economical and efficient way of oil transportation, pipeline integrity management an effective means to prevent accidents ensure safe operation pipelines economically reasonably, timely accurate leakage monitoring can greatly reduce consequences accidents, which a crucial part management. in China has long history, but there no systematic summary. The methods for are reviewed analyzed from levels national industrial, by surveying mileage pipelines, laws regulations, working conditions recent years. principles research status introduced detail, various divided into hardware software different acquisition processing signals. Finally, development trend method future summarized predicted: combination hardware, collection data, intelligent analysis diagnosis conditions, integration information systems.
Language: Английский
Citations
18
Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(10)
Published: Oct. 1, 2024
The development of marine resources is intrinsically linked to the utilization various equipment. Among these, pipelines and cables are crucial for exploitation deep-sea oil gas resources. Mooring cables, towed umbilical submarine typical slender flexible components. These members present dynamic challenges during laying, installation, in-position operation. Facing these challenges, scholars from China around globe have explored theoretical, numerical, experimental solutions challenges. conclusions need be condensed improve their practical academic value engineering applications. This paper summarizes explorations provides general design methods concepts pipelines. Additionally, this looks forward future trend in applications as well theoretical research. aim provide a reference research underwater cables.
Language: Английский
Citations
7
Applied Sciences, Journal Year: 2023, Volume and Issue: 13(13), P. 7427 - 7427
Published: June 22, 2023
This study aims to predict leaks in water-carrying pipelines by monitoring pressure drops. Timely detection of is crucial for prompt intervention and repair efforts. In this research, we represent the network structure using graph representations. Consequently, propose a machine learning model called Graph Convolutional Neural Network (GCN) that leverages graph-type data structures leak prediction. Conventional models often overlook dependencies between nodes edges structures, which are critical complex systems like pipelines. GCN offers an advantage capturing intricate relationships among connections To assess predictive performance our proposed model, compare it against Support Vector Machine (SVM) widely used traditional approach. study, conducted experimental studies collect required flow train SVM models. The obtained results were visualized analyzed evaluate their respective performances. achieved rate 94%, while 87%. These demonstrated potential accurately detecting water pipeline systems. findings hold significant implications resource management environmental protection. knowledge acquired from can serve as foundation predicting transport gas oil.
Language: Английский
Citations
14
Tunnelling and Underground Space Technology, Journal Year: 2023, Volume and Issue: 144, P. 105515 - 105515
Published: Nov. 24, 2023
Language: Английский
Citations
14
Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 12(4), P. 675 - 675
Published: April 18, 2024
The leak of hydrocarbon-carrying pipelines represents a serious incident, and if it is in gas line, the economic exposure would be significant due to high cost lost or deferred hydrocarbon production. In addition, leakage could pose risks human life, have an impact on environment, cause image loss for operating company. Pipelines are designed operate at full capacity under steady-state flow conditions. Normal operations may involve day-to-day transients such as pumps, valves, changes production/delivery rates. basic detection problem distinguish between normal operational occurrence non-typical process conditions that indicate leak. To date, industry has concentrated single-phase flow, primarily oil, gas, ethylene. application leak-monitoring system particular pipeline depends environmental issues, regulatory imperatives, prevention company, safety policy rather than pipe size configuration. This paper provides review recommended guidance subsea context integrity management. also presents capability various techniques can used offer roadmap potential users systems.
Language: Английский
Citations
5
Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 191, P. 2712 - 2724
Published: Oct. 8, 2024
Language: Английский
Citations
5
Applied Acoustics, Journal Year: 2023, Volume and Issue: 216, P. 109798 - 109798
Published: Dec. 9, 2023
Language: Английский
Citations
12