MétaCan
Menu
← Retour à la cohorte
Enregistrement W4248851858 · doi:10.2523/97791-ms

Transient-Pressure Behavior of Cold Heavy-Oil Production Wells

2005· article· en· W4248851858 sur OpenAlexaffabout
Xiangdong Liu, Gang Zhao

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueHydraulic Fracturing and Reservoir Analysis
Établissements canadiensUniversity of Regina
Organismes subventionnairesnon disponible
Mots-clésCitationTransient (computer programming)Petroleum engineeringComputer scienceOil productionEnvironmental scienceEngineeringLibrary scienceOperating system

Résumé

récupéré en direct d'OpenAlex

Transient Pressure Behavior of Cold Heavy Oil Production Wells Xiangdong Liu; Xiangdong Liu U. of Regina Search for other works by this author on: This Site Google Scholar Gang Zhao Gang Zhao U. of Regina Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. Paper Number: SPE-97791-MS https://doi.org/10.2118/97791-MS Published: November 01 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Liu, Xiangdong, and Gang Zhao. "Transient Pressure Behavior of Cold Heavy Oil Production Wells." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium, Calgary, Alberta, Canada, November 2005. doi: https://doi.org/10.2118/97791-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 International Thermal Operations and Heavy Oil Symposium Search Advanced Search AbstractThe objective of this paper is to investigate the transient pressure behavior of Cold Heavy Oil Production (CHOP) wells with the consideration of wormhole configurations and foamy oil flow. Wormholes provide main conduits for foamy oil flow in the production process, and foamy oil is highly compressible owing to the dispersed and encompassed gas bubbles. This study proposes a comprehensive model to describe the transient flow of matured CHOP wells. Then, the transient pressure behavior has been extensively analyzed. The model not only provides reliable transient pressure responses of matured CHOP wells, but also offers a way to estimate the possible wormhole configurations and to understand the possible pressure drop along wormholes.IntroductionThe CHOP technology is one of the most attractive new technologies in heavy oil production. It is a non-thermal process in which sand is aggressively produced to stimulate a production process for a higher oil rate. The transient pressure behavior of CHOP wells has arisen considerable interest over the past few decades. Smith[1] proposed a radial diffusivity equation with a pseudo-pressure form to model pressure behavior of heavy oil reservoirs under solution gas drive. But, the model did not account for any permeability enhancement or wormhole effect. Several traditional models including classical storage & skin factor models,[2] infinite conductive fracture model, and dual porosity flow model[3] were applied to analyze the pressure data of CHOP wells. No applicable results were reported; therefore, it is believed that conventional models cannot be used to generate a reasonable understanding and this is mainly because of the fact that the wormhole and the foamy oil flow in matured CHOP wells were not integrated comprehensively.Wormholes generated by the aggressive sand production provide the main conduits for fluid flow in reservoirs. The presence of wormholes has been confirmed in light of the observations made in oil fields and from investigations through laboratory experiments.[1–7] Rapid communications between wells were observed by tracer tests in several oil fields.[1, 4–6] Pressure testing results[2] showed that the inflow performance behaves like a linear flow. Production logs of the injection tests[3] indicated that the majority of injected water entered a single discrete zone. The high porosity channels were observed in the laboratory experiments.[7]Foamy oil is highly compressible owing to the dispersed and encompassed gas bubbles. Smith1 first proposed the foamy oil presence in matured CHOP wells from the observations of bubbles existed in the produced oil. He inferred that solution gas drive in some heavy oil reservoirs involved simultaneous mixture flow of gas as tiny bubbles entrained in heavy oil, which were much smaller than the pore throat size. The laboratory work8, 9 showed the significance of foamy oil behavior in the primary heavy oil production process. It was observed that oil and gas mixture was flowing mostly in the form of continuous foam in their experiments. Apparently, the foamy oil has a much higher compressibility than that of heavy oil.This study proposes a comprehensive model to describe the transient flow of matured CHOP wells. The reservoir flow model considers foamy oil flow as simultaneous mixture flow of tiny gas bubbles entrained in heavy oil with significant pressure-dependent compressibility. Possible wormhole configurations are roughly estimated by material balance analysis of sand production data and subsequently integrated into the reservoir flow model. Then, the wormhole flow is coupled with the reservoir flow. Finally, a sensitivity study is carried out to investigate the impacts of wormhole growth patterns, pressure drop along wormholes, cumulative sand production volumes, and wellbore storage on the transient pressure and derivative responses. Keywords: reservoir, equation, drillstem/well testing, permeability, wormhole, cold heavy oil production, drillstem testing, influx rate, wormhole section, wormhole segment Subjects: Improved and Enhanced Recovery, Formation Evaluation & Management, Cold heavy oil production, Drillstem/well testing This content is only available via PDF. 2005. SPE/PS-CIM/CHOA International Thermal Operations and Heavy Oil Symposium 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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
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 savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,007
Tête enseignante GPT0,207
Écart entre enseignants0,201 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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'admission2
Résumé présentoui

Explorer davantage

Même sujetHydraulic Fracturing and Reservoir Analysis→Travaux en français237 207→