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Enregistrement W4210539083 · doi:10.2523/109826-ms

Peace River Carmon Creek Project—Optimization of Cyclic Steam StimulationThrough Experimental Design

2007· article· en· W4210539083 sur OpenAlexfundaboutno aff
Junaid Mohiddin, Paul Koci

Notice bibliographique

RevueProceedings of SPE Annual Technical Conference and Exhibition · 2007
Typearticle
Langueen
DomaineEngineering
ThématiqueOil and Gas Production Techniques
Établissements canadiensnon disponible
Organismes subventionnairesShell Canada
Mots-clésExhibitionCitationYangtze riverLibrary scienceEngineeringArchaeologyComputer scienceHistory

Résumé

récupéré en direct d'OpenAlex

Peace River Carmon Creek Project C--Optimization of Cyclic Steam Stimulation Through Experimental Design Junaid Ghulam Mohiddin; Junaid Ghulam Mohiddin Shell Intl. E&P Co. Search for other works by this author on: This Site Google Scholar Paul Frantisek Koci Paul Frantisek Koci Shell Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, Anaheim, California, U.S.A., November 2007. Paper Number: SPE-109826-MS https://doi.org/10.2118/109826-MS Published: November 11 2007 Connected Content Related to: Heavy Oil: Optimize Cyclic Steam Stimulation Though Experimental Design Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Mohiddin, Junaid Ghulam, and Paul Frantisek Koci. "Peace River Carmon Creek Project C--Optimization of Cyclic Steam Stimulation Through Experimental Design." Paper presented at the SPE Annual Technical Conference and Exhibition, Anaheim, California, U.S.A., November 2007. doi: https://doi.org/10.2118/109826-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Annual Technical Conference and Exhibition Search Advanced Search AbstractPeace River Carmon Creek is a 100% Shell owned ultra-heavy oil lease located in north-western Alberta, Canada, approximately 700 km northwest of Edmonton (Fig. 1). It holds nearly eight billion barrels of 7°API oil in place, spread over 370 km2. The Carmon Creek Project targets possibly about half of that oil for development by cyclic steam stimulation (CSS). There are growth plans for a significant increase in oil production over the next five years.The purpose of this study was to optimize CSS well configuration and steaming strategy for each distinct reservoir area by deploying previously improved and history matched simulation models1.A full field static model was built, comprising over 400 wells. More detailed static sector models were also built for each distinct geological area and translated into elements of symmetry thermal simulation models.The choice of design parameters and handling of uncertainties were addressed in a phased manner. First, the smallest possible element of symmetry simulation model and the most efficient discrete fracture realization were determined. The next phase involved optimization of the well configuration and steaming strategy for each field area (based on approximate Net Present Value, NPV). The final phase entailed uncertainty analysis for the optimized design concepts and determining P15, P50, and P85 forecasts for each area. Experimental Design and Monte Carlo simulations were applied to further reduce the runs required for each phase.Although different optimum CSS designs were determined for each geological area, the modeling results can be generalized as follows:Horizontal well near the base of the reservoir is the optimum well type for CSS at Peace River.Well spacing less than 75 meters appears more attractive in the higher reservoir quality areas compared to the current assumption of 150 meters.In summary, a series of predictive CSS simulation models, primarily for horizontal wells, have been developed. Heavily aided by experimental design, a unique phased modeling workflow was applied to optimize well design and steaming strategy. Some of the suggested design components are already being tested at Peace River.IntroductionHistorically, various thermal recovery schemes have been piloted at Peace River, including in-situ combustion, steam drive, steam foam, steam assisted gravity drainage (SAGD) and CSS.At present, CSS with injection above fracture pressure is employed to extract the oil, most recently using closely spaced multi-lateral horizontal wells drilled from a central surface pad.The CSS target is the Bluesky formation, an approximately 30 m thick semi-consolidated sand layer buried at a depth of about 600 m, characterized by a wide range of reservoir properties such as oil viscosity, vertical to horizontal permeability ratio and reservoir thickness.These varying reservoir features are expected to result in different optimum CSS well configurations and steaming strategies for each geologically unique portion of the field. The purpose of this study was to determine these optimums. Keywords: thermal method, steam-assisted gravity drainage, enhanced recovery, reservoir simulation, SAGD, Thickness, spe 109826, simulation model, reservoir property, optimization Subjects: Improved and Enhanced Recovery, Reservoir Simulation, Thermal methods This content is only available via PDF. 2007. 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 enseignants0,096
Score d'incertitude au seuil0,593

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 Opus0,028
Tête enseignante GPT0,271
Écart entre enseignants0,244 · 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

Citations5
Publié2007
Routes d'admission2
Résumé présentoui

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