Corrosion under insulation in-situ testing in marine environment
Notice bibliographique
Résumé
Oil and gas pipelines in marine or coastal environments experience significant corrosion when moisture and chloride penetrate surface protections. There is lack of in-situ work studying corrosion under insulation (CUI) and corrosion under coating, especially in marine atmosphere. As well, monitoring and inspection of assets under corrosion attack is a concern, as it can spread insidiously in out of sight areas. Real time monitoring of pipelines and other assets is best to get information quickly, especially in difficult to reach areas. Electrochemical potential noise (EPN) is one proposed method to investigate CUI using simple equipment and should be further investigated in determining quantitative corrosion results. This thesis investigates corrosion and pitting from pipelines which were coated, uncoated, insulated, and not, in a marine harsh environment field experiment. The surface morphology, and mechanisms of corrosion were also studied. Thirty-six A333 low temperature carbon steel pipelines were placed at Argentia, NL, Canada, an extremely corrosive environment (C5) near shoreline. High humidity, winds, and sea-spray are present throughout most of the year. Corrosion rate was assessed using mass loss and optical inspections were used for pit depth. X-ray diffraction and scanning electron microscope were used to determine corrosion products and surface morphology. Corrosion near the ends of the pipe were most severe, perhaps due to crevice corrosion, and ingress of moisture and chloride. Insulated uncoated pipes showed deepest pits, therefore when pipes are insulated, anti-corrosion protective coating should be applied. Corrosion and pitting rates were lowest in insulated and coated pipes. Real time monitoring using EPN was explored, varying electrode size, temperature, and electrolytes. EPN was recorded using Keithly digital multimeter controlled by LabVIEW software. Potential was investigated using time and frequency domain methods to determine its usefulness in monitoring corrosion. In this research the best way to relate potential to mass loss and corrosion type occurred using time-frequency domain power spectral density from raw potential noise generated from electrodes. This in-situ testing enhanced the understanding of corrosion mechanisms and pitting in the environment. Important coating and insulation time to failure was recorded, which provides insights for oil and gas operations regarding inspection, maintenance, and design life. EPN tests proved a simple method and equipment can be used for in-situ corrosion detection, which can help ensure safety and asset integrity.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».