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Enregistrement W1985697642 · doi:10.2118/2005-156

Sand Production Prediction in Oil Wellbores: A Set of Criteria for Design of Reticulated Expandable Completion Techniques Based on Large-Scale Transient Experiments

2005· article· en· W1985697642 sur OpenAlexaff
Alireza Nouri, Hans Vaziri, Ergün Kuru, Rakib Islam

Notice bibliographique

RevueCanadian International Petroleum Conference · 2005
Typearticle
Langueen
DomaineEngineering
ThématiqueHydraulic Fracturing and Reservoir Analysis
Établissements canadiensDalhousie UniversityUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésTransient (computer programming)Scale (ratio)Completion (oil and gas wells)Production (economics)Transient analysisComputer scienceOil productionSet (abstract data type)Petroleum engineeringEngineering drawingEngineeringTransient responsePhysics

Résumé

récupéré en direct d'OpenAlex

Abstract This paper provides criteria for assessing whether sanding has the possibility to occur in the wellbores that are completed by reticulated expandable completion techniques. It also presents an in-depth understanding of the mechanism under which such completion techniques control mobilization of sand grains and evaluates their long-term performance and effectiveness. A series of experiments were conducted using unconsolidated as well as weakly consolidated hollow cylinder samples to investigate the issues involved. A stiffener supported the central hole which is representative of a reticulated expandable completion technique. This was to verify whether sanding can take place when the wellbore is supported by the stiffener and if so, what influence the opening size relative to the grain size has in dictating the operational limits. Experiments were conducted on both single- and two-phase flow media. This was to explore the possible effect of a second phase in sand production in the presence of the stiffener. The experiments on weakly-consolidated sandstones showed that expandable completions were successful in preventing any shear failure around the wellbore. Under excessive drawdown/depletion, pore collapse proved to be a possible failure mechanism in the material. Nevertheless, much less sanding occurred and this improvement was attributed to grain to grain friction, enhancements of effective stresses at the wellface, and some degree of conservation of the original structure of the material. The amount of sanding at an aperture size as much as 10 times the maximum and 20 times the mean grain sizes was still very small. Experiments on unconsolidated sandstones showed that the friction between the grains mobilized by high normal stresses at grain to grain contacts played a major role in preventing sand production. The aperture size of the liner is another important factor in providing the possibility of grain mobilization. The experiments confirmed that even with a large aperture size of an order of magnitude greater than the maximum grain size, sanding did not take place under routine operational conditions in a two-phase flow medium. On the other hand, instant sanding from the sand-pack in single-phase flow experiments took place which emphasized the important role of capillarity. It was only when the maximum grain size stood at the level of aperture size of the stiffener that sanding was eliminated even under single-phase flow condition. Introduction Several expandable techniques have been implemented by the oil industry (Van Buren et al. 1999; Metcalfe and Whitelaw 1999; Hackworth et al. 2003; Echols et al. 2002; Cuthbertson et al. 2003), and their application is experiencing a rapid growth. These completion techniques are supposed to leave no gaps between the liner and the formation and, as such, avoid shear failure and disaggregation of the material around the wellbore. Although expandable completion techniques have been used in over 1000 wellbores (Gilmer and Emerson 2004), few experimental research studies have been reported on their interaction with the surrounding medium, in terms of their impact on productivity, and possible failure of the medium and its mechanism.

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: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,216
Score d'incertitude au seuil0,429

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 savante0,0000,000
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 Opus0,021
Tête enseignante GPT0,257
Écart entre enseignants0,236 · 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'étudeSimulation ou modélisation
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

Citations0
Publié2005
Routes d'admission1
Résumé présentoui

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