Data-driven operational failure likelihood model for microbiologically influenced corrosion

MZ Kamil, M Taleb-Berrouane, F Khan… - Process Safety and …, 2021 - Elsevier
Corrosion is a threat to asset integrity, with engineering challenges and economic burdens.
Since the last decade, microbiologically influenced corrosion (MIC) began to be recognized …

Assessment of steam turbine blade failure and damage mechanisms using a Bayesian network

DA Quintanar-Gago, PF Nelson… - Reliability Engineering & …, 2021 - Elsevier
Damage mechanisms that affect components within complex machines are often hard to
detect and identify, especially if they are difficult to access, inspect and/or that are under …

An integrated model for predicting stress corrosion cracking of buried pipelines

G Liu, F Ayello, G Vervake… - International …, 2022 - asmedigitalcollection.asme.org
Stress corrosion cracking (SCC) is a type of crack that grows in a corrosive environment,
which threatens the integrity of pipeline and may lead to major and/or sudden pipeline …

Corrosion Risk Assessment in Pipelines

F Ayello, G Liu - Bayesian Network Modeling of Corrosion, 2024 - Springer
The performance of pipelines is determined by internal and external corrosion, stress
corrosion cracking, and third party damage, among other failure modes. This chapter …

Probabilistic digital twins for transmission pipelines

F Ayello, Y Yang, L Li, G Liu, Y Zhang, S Zhang - NACE CORROSION, 2021 - onepetro.org
Digitalization in the oil and gas industry has led to the formation of digital twins. Digital twins
bring closer the physical and virtual world as data is transmitted seamlessly between real …

Multiscale Multidisciplinary Machine Learning Modeling for Pipeline Risk Assessment

G Liu, F Ayello, O Shabarchin… - International …, 2024 - asmedigitalcollection.asme.org
Ensuring the safety and reliability of pipeline systems across diverse components, materials
and operating conditions necessitates the integration of information from various fields of …

Decision making through a Bayesian network for a pipeline in design

F Ayello, G Liu, J Zhang - The APPEA Journal, 2019 - CSIRO Publishing
Decision making for investing in a new pipeline project can be a long and costly process.
This is usually due to the uncertainty and missing information regarding the interactions of …

Decision Making Under Uncertain Erosion Conditions Using the Probabilistic Model

G Liu, J Vera, F Ayello, R Eckert - AMPP CORROSION, 2022 - onepetro.org
Erosion threatens the integrity of pipeline system through wall thinning. This effect is
worsened when corrosion and erosion interact. Therefore, it is necessary to estimate the …