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Enregistrement W2084847878 · doi:10.2118/00-07-04

Using Underbalanced Drilling to Reduce Invasive Formation Damage and Improve Well Productivity-An Update

2000· article· en· W2084847878 sur OpenAlexfundno aff
D.B. Bennion, F.B. Thomas, A.M.M. Jamaluddin, Ting Ma

Notice bibliographique

RevueJournal of Canadian Petroleum Technology · 2000
Typearticle
Langueen
DomaineEngineering
ThématiqueDrilling and Well Engineering
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of Calgary
Mots-clésUnderbalanced drillingDrillingPetroleum engineeringCoiled tubingLead (geology)Environmental scienceEngineeringDrilling fluidGeologyMechanical engineering

Résumé

récupéré en direct d'OpenAlex

Abstract Underbalanced drilling (UBD) is becoming increasingly used as a technique to reduce significant invasive formation damage in vertical and horizontal wells to improve production rates of oil and gas, and enhance injectivity in gas and water injection situations. UBD may be a technically demanding procedure to execute in certain reservoirs and much of the benefit with respect to mitigation of formation damage may be compromised if the underbalanced drilling operation is not screened, designed and conducted in an appropriate fashion. This paper reviews common formation damage mechanisms which may occur in reservoirs and how, in certain situations, these types of damage may be reduced or eliminated through the appropriate use of underbalanced drilling technology. Various situations in which underbalanced drilling technology may result in potential significant formation damage are also discussed. Introduction Underbalanced drilling is utilized worldwide for the drilling of horizontally and vertically oriented wells to increase rates of penetration, reduce invasive formation damage and reduce problems with drilling due to lost circulation and differential sticking. Many successful descriptions of underbalanced drilling are present in the literature(1–8). However, underbalanced drilling is not a panacea for all formation damage problems in that inappropriately designed underbalanced drilling jobs may actually result in more formation damage than if a well-designed and contemplated overbalanced job had been used in the same circumstances. This paper reviews some of the technology in use at the present time in underbalanced drilling, and illustrates some of the points which operators should be aware of before embarking on an underbalanced drilling operation. What Is Underbalanced Drilling (UBD)? A rigorous definition of UBD is a condition where the circulating pressure of the drilling fluid in contact with the formation is less than the effective pore pressure in the adjacent matrix. The desirable course of action is to have this occur along the entire exposed section of the productive pay of the reservoir, resulting in an inflow of oil, water or gas (which may be contained in the matrix) into the wellbore. The produced fluids are returned to the surface along with the circulating drilling fluid. A number of descriptions of UBD exist in the literature. They can be described as follows: Overbalanced Drilling A situation in which the equivalent circulating density of the drilling mud is sufficient that, at bottomhole conditions, the drilling fluid pressure is greater than the formation pressure, resulting in an effectively "killed" state (where no inflow of formation of fluids occurs). This has been the most common technique utilized to drill wells in the past and is still the dominant technology currently used to drill many wells. Low Head Drilling Low head drilling refers to a situation where an overbalance pressure condition, similar to that described above, is maintained but with the use of lower density oil-based fluids or possibly gasified fluids to reduce the magnitude of the overbalance pressure exerted on the formation. The prime motivation is to reduce formation damage and the potential for severe invasive losses and to increase ROP. Low head drilling is still classified as a form of overbalanced drilling.

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 enseignants0,306
Score d'incertitude au seuil0,675

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,001
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 Opus0,009
Tête enseignante GPT0,204
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'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

Citations12
Publié2000
Routes d'admission1
Résumé présentoui

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