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Enregistrement W4242861137 · doi:10.2523/94155-ms

CT Integrity Inspection With Online Detection of CT Anomalies on a Very Small Scale

2005· article· en· W4242861137 sur OpenAlexaboutno aff
Paul Harbers

Notice bibliographique

RevueProceedings of SPE/ICoTA Coiled Tubing Conference and Exhibition · 2005
Typearticle
Langueen
DomaineEngineering
ThématiqueAdvanced X-ray and CT Imaging
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésScale (ratio)Computer scienceArtificial intelligenceComputer visionCartographyGeography

Résumé

récupéré en direct d'OpenAlex

CT Integrity Inspection With Online Detection of CT Anomalies on a Very Small Scale Paul Harbers Paul Harbers Rosen Inspection Technologies Search for other works by this author on: This Site Google Scholar Paper presented at the SPE/ICoTA Coiled Tubing Conference and Exhibition, The Woodlands, Texas, April 2005. Paper Number: SPE-94155-MS https://doi.org/10.2118/94155-MS Published: April 12 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Harbers, Paul. "CT Integrity Inspection With Online Detection of CT Anomalies on a Very Small Scale." Paper presented at the SPE/ICoTA Coiled Tubing Conference and Exhibition, The Woodlands, Texas, April 2005. doi: https://doi.org/10.2118/94155-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE/ICoTA Well Intervention Conference and Exhibition Search Advanced Search Coiled tubing is a fast growing technology and is becoming an alternative to jointed pipe in a wide range of oil and gas well operations. The technology is pushed by the use of coiled tubing for complex operations that are safety, cost and environmentally sensitive. During operations the coiled tubing must retain its integrity under increasing conditions of pressure, load and depth. Since the tubing integrity is mainly determined by its physical properties, real-time inspection during operations is an excellent method to ensure safety and enhance reliability.AbstractSince the combination of measuring fatigue and corrosion in one system would be ideal but not possible for now, the best way to 'guard' the coiled tubing's integrity before or during operation, is to detect corrosion or other anomalies in a very early stage. Calculations on form and depth of CT anomalies to predict its growth and behavior still turn out to be very difficult.This means online detecting on a very small scale would give you a better and immediate view on the growing speed of anomalies and thus your total decay of the CT string. ROSEN does this by means of her well-known knowledge in the Magnetic Flux Leakage principle and her 20+ years experience in pipeline inspections.For Hibernia Canada we introduced a new feature in our software concentrating on corrosion finding and wall thickness.We have divided the wall thickness into 9 different wall thickness part sections around the circumference. This means a more precise indication (and therefore better resolution) of the wall thickness part (40° coverage each), which could contain a wall thinning including its clock position.Mechanical damage, corrosion parts or pits as small as approx 0.3mm (0.01") in depth can now be detected!IntroductionThe use of coiled tubing for well intervention and drilling operations is subject to undesirable safety, environmental and cost/risk factors due to possible failure of the tubing while in service. Safety is the foremost concern of operators, and further development of CT management has to focus on maximizing the safety of operations while maximizing the use of CT.The working life of CT is affected by various factors such as fatigue, changes in tube geometry, corrosion, manufacturing failures and mechanical damages caused by operational constrains or improper handling of the CT. The most common cause of failure is due to local surface defects created while running the tubing in and out of the well while passing through various wellhead and completion equipment. The repeated plastic deformation of the tubing during these operations eventually leads to local failure that is accelerated by the stress concentration at the defects.To determine the optimum safe and cost effective working life of CT, operators must establish acceptance criteria for CT quality control and lifetime prediction. It is desirable, if not essential, to be able to continuously monitor the CT during operation in order to be able to automatically provide an assessment of the tube integrity for estimation of life expectancy.A system for automatic coiled tubing inspection and integrity monitoring is a basic item of a coiled tubing management system for quality control and lifetime prediction. Looking at the needs of the industry, which are safer, more reliable and economical coiled tubing (CT) on- and offshore operations, ROSEN has developed an inspection device called ACIM, Automatic Coiled Tubing Inspection and Monitoring, a sophisticated real time inspection system that can assist operators in improving coiled tubing integrity. The ACIM was designed for and with the coiled tubing manufacturers. It is aimed to make coiled tubing operations more safe, mechanically reliable and cost effective.The ACIM allows operators to monitor the condition and performance of the coiled tube as well as their own practices from one moment to the next. Besides gathering all necessary raw data, real time visualization of the evaluated data is an important part of the automatic CT integrity monitoring system.The monitoring results must be presented clearly and understandably. The ACIM offers a wide range of interfaces to provide the operator with all the information needed in a convenient format. Keywords: detection, operator, anomaly, computer, integrity, completion installation and operations, specification, outer diameter, real time system, corrosion Subjects: Information Management and Systems, Completion Installation and Operations, Coiled tubing operations This content is only available via PDF. 2005. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,152
Score d'incertitude au seuil0,798

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,209
Écart entre enseignants0,195 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2005
Routes d'admission1
Résumé présentoui

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Même revueProceedings of SPE/ICoTA Coiled Tubing Conference and ExhibitionMême sujetAdvanced X-ray and CT ImagingTravaux en français237 207