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Enregistrement W2094891685 · doi:10.2118/2007-027

A Unified Model for Prediction of CSOR in Steam-Based Bitumen Recovery

2007· article· en· W2094891685 sur OpenAlex

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Notice bibliographique

RevueCanadian International Petroleum Conference · 2007
Typearticle
Langueen
DomaineEngineering
ThématiqueAsphalt Pavement Performance Evaluation
Établissements canadiensLaricina Energy (Canada)
Organismes subventionnairesnon disponible
Mots-clésComputer science

Résumé

récupéré en direct d'OpenAlex

Abstract An analytical model to estimate the cumulative steam/oil ratio of SAGD or other steam-based bitumen recovery processes is presented. Model predictions are compared with both numerical and field cases. Cyclic steam processes are interpreted as unsteady-state SAGD recovery, which can be operated at effective temperatures about half that for SAGD. Introduction Attempts are sometimes made to correlate the cumulative steam/oil ratio (CSOR) performance of current SAGD projects against single reservoir variables, whether pay thickness, operating pressure, oil saturation, etc. In fact, all of these and more reservoir variables come into play; but the SOR is not just a property of the rocks and the process, but also of time. Due to ongoing reservoir heat loss, production or facility delays also have an impact on the field CSOR. This paper presents a simple analytical model to predict the CSOR for steam-based recovery of bitumen from highpermeability reservoirs. The model is useful for screening and evaluation purposes, as well as the analysis of the economic effects of various production variables, including shut-ins or impairment. The founding assumptions are that 1. depletion is gravity driven, and therefore the geometry of the depleted zone (steam chamber) more or less follows from the production well geometry; and 2. produced oil is from the steam zone, and the steam zone has been uniformly reduced to residual oil saturation (pace Butler's SAGD model1, this is equivalent to saying that drainage within the chamber is much more rapid than the rate of chamber expansion). The present model can be viewed as a simplification and generalization of one published by Reis.2 The main simplification is the use of an empirical constant, which accounts for heat stored below the chamber as a factor of the overburden transient losses. As in Reis' model, the CSOR is predicted as a function of time, rather than recovery factor. Some external estimate of the recovery vs. time is therefore required in order to transform CSOR to a function of recovery. This estimate may be based on an analytical model such as Butler's,1 Reis', 2,3 field experience, or any other source. A major extension of the present model is the application to cyclic steaming operations, by use of a time-average effective temperature for the steam zone. Calculation of the effective temperature for some cyclic field cases suggests that it corresponds, on the saturated steam curve, to a pressure close to that of the end of the production cycle. The same is probably also true of a SAGD project that is blown down near the end of its life, and reflects the ability of blowdown or cycles to utilize heat already stored in the chamber. Gravity Dominance The claimed scope of this model is "steam-based recovery of bitumen from high permeability reservoirs". This phrase is carefully chosen to encapsulate conditions under which oil recovery is predominately due to gravity drainage, and to not exclude possible application to non-SAGD processes, in particular CSS. Gravity dominance as used here means that either liquids are moving substantially downwards, or else steam is moving upwards, or both.

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.

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 enseignants0,214
Score d'incertitude au seuil0,933

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
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 Opus0,032
Tête enseignante GPT0,247
Écart entre enseignants0,215 · 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