On the public citation graph

Risk-Informed Maintenance of Oil and Gas Steel Pipelines Under Localized Corrosion Including Space Correlation between Defects and Epistemic Uncertainty on the Corrosion Rate

0 signed · 23 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-43532-4_5openalex-snapshot
Uncertainty in the Assessment of Corroded Pipelines
inferredcites →https://doi.org/10.1016/j.apenergy.2022.120620openalex-snapshot
Dynamic Bayesian network risk probability evolution for third-party damage of natural gas pipelines
inferredcites →https://doi.org/10.1016/j.corsci.2009.05.019openalex-snapshot
Probability distribution of pitting corrosion depth and rate in underground pipelines: A Monte Carlo study
inferredcites →https://doi.org/10.1016/j.engstruct.2014.05.018openalex-snapshot
Cost-based optimal maintenance decisions for corroding natural gas pipelines based on stochastic degradation models
inferredcites →https://doi.org/10.1016/j.ijpvp.2004.07.018openalex-snapshot
Effect of spatial correlation on the failure probability of pipelines under corrosion
inferredcites →https://doi.org/10.1016/j.ijpvp.2020.104170openalex-snapshot
Uncertainty in reliability of thick high strength pipelines with corrosion defects subjected to internal pressure
inferredcites →https://doi.org/10.1016/j.ijpvp.2023.104927openalex-snapshot
Risk-based maintenance time for oil and gas steel pipelines under corrosion including uncertainty on the corrosion rate and consequence-based target reliability
inferredcites →https://doi.org/10.1016/j.jpse.2022.100053openalex-snapshot
Resilience assessment of a subsea pipeline using dynamic Bayesian network
inferredcites →https://doi.org/10.1016/j.jpse.2024.100178openalex-snapshot
Energy pipeline degradation condition assessment using predictive analytics – challenges, issues, and future directions
inferredcites →https://doi.org/10.1016/j.psep.2023.10.025openalex-snapshot
A risk-based approach to inspection planning for pipelines considering the coupling effect of corrosion and dents
inferredcites →https://doi.org/10.1016/j.ress.2017.06.025openalex-snapshot
Sensitivity of system reliability of corroding pipelines to modeling of stochastic growth of corrosion defects
inferredcites →https://doi.org/10.1016/j.ress.2023.109894openalex-snapshot
Multi-objective maintenance strategy for corroded pipelines considering the correlation of different failure modes
inferredcites →https://doi.org/10.1016/j.ress.2024.110236openalex-snapshot
Reliability-based maintenance optimization of long-distance oil and gas transmission pipeline networks
inferredcites →https://doi.org/10.1016/j.ress.2024.110741openalex-snapshot
Reliability-based design optimization of fluid-conveying pipeline structure subjected to in-service loadings
inferredcites →https://doi.org/10.1016/j.strusafe.2005.02.002openalex-snapshot
Representation of uncertainty in maximum depth of marine corrosion pits
inferredcites →https://doi.org/10.1016/j.strusafe.2013.11.001openalex-snapshot
Optimal inspection and design of onshore pipelines under external corrosion process
inferredcites →https://doi.org/10.1016/s0308-0161(98)00006-4openalex-snapshot
Probabilistic estimation of remaining life of a pipeline in the presence of active corrosion defects
inferredcites →https://doi.org/10.1080/15732479.2015.1113300openalex-snapshot
Reliability-based temporal and spatial maintenance strategy for integrity management of corroded underground pipelines
inferredcites →https://doi.org/10.1080/15732479.2017.1285330openalex-snapshot
First-order reliability method-based system reliability analyses of corroding pipelines considering multiple defects and failure modes
inferredcites →https://doi.org/10.1080/15732479.2020.1766516openalex-snapshot
Statistical analysis of spatial distribution of external corrosion defects in buried pipelines using a multivariate Poisson-lognormal model
inferredcites →https://doi.org/10.1080/15732479.2020.1811990openalex-snapshot
Effects of correlation between the adjacent components on time dependent failure probability of corroded pipelines
inferredcites →https://doi.org/10.1115/1.3110017openalex-snapshot
Target Reliability Levels for Design and Assessment of Onshore Natural Gas Pipelines
inferredcites →https://doi.org/10.1186/s43065-023-00086-5openalex-snapshot
Machine learning-assisted optimal schedule of underground water pipe inspection
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.