Non-Probabilistic Time-Varying Reliability-Based Analysis of Corroded Pipelines Considering the Interaction of Multiple Uncertainty Variables

Hou, Xiangqin; Wang, Yihuan; Peng, Zhang; Qin, Guojin

doi:10.3390/en12101965

Cited by 9 publications

(4 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many statistical methodologies, such as Reliability-Based Analysis (RBA), Survival Analysis (SA), and Weibull Analysis (WA), were used to forecast the life of oil and gas pipelines. Using the RBA technique, Hou et al predicted a pipeline's dependability and chance of failure while accounting for operating circumstances, environmental considerations, and material attributes 25 . The authors of the SA research, Mohmoud et al, utilized time-to-failure data to simulate the probability of failure over time while accounting for filtering and reduction 26 .…”

Section: Introductionmentioning

confidence: 99%

A novel neural network-based framework to estimate oil and gas pipelines life with missing input parameters

Shaik,

Jongkittinarukorn,

Benjapolakul

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Dry gas pipelines can encounter various operational, technical, and environmental issues, such as corrosion, leaks, spills, restrictions, and cyber threats. To address these difficulties, proactive maintenance and management and a new technological strategy are needed to increase safety, reliability, and efficiency. A novel neural network model for forecasting the life of a dry gas pipeline system and detecting the metal loss dimension class that is exposed to a harsh environment is presented in this study to handle the missing data. The proposed strategy blends the strength of deep learning techniques with industry-specific expertise. The main advantage of this study is to predict the pipeline life with a significant advantage of predicting the dimension classification of metal loss simultaneously employing a Bayesian regularization-based neural network framework when there are missing inputs in the datasets. The proposed intelligent model, trained on four pipeline datasets of a dry gas pipeline system, can predict the health condition of pipelines with high accuracy, even if there are missing parameters in the dataset. The proposed model using neural network technology generated satisfactory results in terms of numerical performance, with MSE and R2 values closer to 0 and 1, respectively. A few cases with missing input data are carried out, and the missing data is forecasted for each case. Then, a model is developed to predict the life condition of pipelines with the predicted missing input variables. The findings reveal that the model has the potential for real-world applications in the oil and gas sector for estimating the health condition of pipelines, even if there are missing input parameters. Additionally, multi-model comparative analysis and sensitivity analysis are incorporated, offering an extensive comprehension of multi-model prediction abilities and beneficial insights into the impact of various input variables on model outputs, thereby improving the interpretability and reliability of our results. The proposed framework could help business plans by lowering the chance of severe accidents and environmental harm with better safety and reliability.

show abstract

Section: Introductionmentioning

confidence: 99%

A novel neural network-based framework to estimate oil and gas pipelines life with missing input parameters

Shaik,

Jongkittinarukorn,

Benjapolakul

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Pipeline operators implement integrity management by regulations and have formulated these regulations to prevent pipeline accidents as much as possible [10,11]. Risk assessment is an effective risk management and control tool for predicting risk and reducing failure accidents [12].…”

Section: Introductionmentioning

confidence: 99%

An information entropy-based risk assessment method for multiple-media gathering pipelines

Qin

Tang

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Upstream unrefined petroleum resources and complex operating environments pose a significant threat to the integrity and safety of gathering pipelines. In this work, we proposed a novelty risk assessment method for gathering pipelines. Specifically, the historical failure data were used to develop the fishbone diagram of hazard factors and quantitatively analyze the primary indexes of internal corrosion failure. The risk assessment method was established combined the KENT method and information entropy theory, including models of failure probability and failure consequence coefficient. Subsequently, The welding institute (TWI) risk classification method was adopted to develop the risk classification calculation method for different areas, combined with the area-level safety design coefficient. Finally, the proposed method was applied to 81 gathering pipelines. Research results showed that the risk assessment method proposed in this paper could meet the real safe operation of gathering pipelines, improving upstream energy security.

show abstract

“…Reliability is a major criterion for assessing selected elements of technical infrastructure such as transmission [1], information technology (IT) [2] or energy [3] infrastructure. The reliability of road infrastructure is also the subject of many studies, because of the role the parameter plays in traffic performance [4,5] and the safety of road users [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Measures of Functional Reliability of Two-Lane Highways

Ostrowski

Budzyński

2021

Energies

View full text Add to dashboard Cite

Rural two-lane highways are the most common road type both in Poland and globally. In terms of kilometres, their length is by far greater than that of motorways and expressways. They are roads of one carriageway for each direction, which makes the overtaking of slower vehicles possible only when there is a gap in the stream of traffic moving from the opposite direction. Motorways and express roads are dual carriageways that are expected to support high speed travel mainly over long distances. Express roads have somewhat lower technical parameters and a lower speed limit than motorways. Two-lane highways are used for both short- and long-distance travel. The paper presents selected studies conducted in Poland in 2016–2018 on rural two-lane highways and focuses on the context of the need for their reliability. The research was carried out on selected short and [longer road sections located in various surroundings, grouped in terms of curvature change rate CCR, longitudinal slopes and cross-sections (width of lanes and shoulders). The studies of traffic volumes, travel time and travel speed, as well as traffic density, will be used to analyze traffic performance and identify measures of travel time reliability. The analyzed roads were characterized by good technical parameters and significant variability of traffic volume throughout the day, week and year. Some roads experience congestion, i.e., situations in which traffic volume Q is close to or above respective road capacity C. In order to determine the form of the suitable reliability measures, it will be important to determine the extent to which a road’s geometric and traffic characteristics impact travel speed and time. The paper presents well-known reliability measures for dual carriageways and proposes new measures, along with an evaluation of their usefulness in the assessment of the functioning of two-lane highways.

show abstract

Non-Probabilistic Time-Varying Reliability-Based Analysis of Corroded Pipelines Considering the Interaction of Multiple Uncertainty Variables

Cited by 9 publications

References 33 publications

A novel neural network-based framework to estimate oil and gas pipelines life with missing input parameters

A novel neural network-based framework to estimate oil and gas pipelines life with missing input parameters

An information entropy-based risk assessment method for multiple-media gathering pipelines

Measures of Functional Reliability of Two-Lane Highways

Contact Info

Product

Resources

About