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Enregistrement W2899657199 · doi:10.11575/prism/33125

Heat of Combustion Analysis of Residual Hydrocarbon Following In Situ Combustion Tests

2018· dissertation· en· W2899657199 sur OpenAlexaboutno aff
Marta Hiromi Kamisaki

Notice bibliographique

RevuePRISM (University of Calgary) · 2018
Typedissertation
Langueen
DomaineEngineering
ThématiqueEnergetic Materials and Combustion
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCombustionResidualHydrocarbonIn situEnvironmental scienceWaste managementPetroleum engineeringChemistryEngineeringComputer scienceOrganic chemistry

Résumé

récupéré en direct d'OpenAlex

Production of Athabasca Oil Sands has always been a challenge due to its high viscosity. To produce the subsurface oil, enhanced oil recovery (EOR) is necessary. In Situ Combustion (ISC) is an EOR technique with high recovery factor but, due to the high number of reactions occurring simultaneously during application of the method, the use of computational simulators is still a challenge. Therefore, laboratory physical simulations are necessary to evaluate the viability of ISC in a specific field. These simulations are normally conducted using core samples in one-dimensional combustion tube tests to analyze the temperature profiles, pressure drops, product gas compositions and fluid production. A new 3-D physical laboratory simulator has been developed by the In Situ Combustion Research Group at the University of Calgary. The model consists of a 3-D box to evaluate ISC as a hybrid process with steam. The advantage of the 3-D model is that it provides better visualization of the process since multiple dimensional data are obtained. Post-test core samples that exhibited a significant coke bank or wall were selected from two 3-D tests which had been previously performed using cores from Athabasca Oil Sands reservoirs. Both of the 3-D tests evaluated in this research simulated a pre-production by SAGD (Steam Assisted Gravity Drainage). The 3-D boxes were packed with two distinct oil zones: Rich Zone (with a higher oil concentration) and Lean Zone (with a lower oil concentration). Lean Zone represented the area pre-produced by SAGD. After packing, the ISC process was performed with dry air (21% oxygen) injection during 3-D Test #1 and with enriched air (95% oxygen) and super-heated steam co-injection during 3-D Test #2. This current study analyzes selected samples of the post-test residual that are associated with the coke bank or coke wall in terms of the heats of combustion of residual hydrocarbon in contact with the sand, the toluene extractable oil, its fractions (maltenes and asphaltenes), as well as the toluene insoluble coke fraction remaining on the extracted core matrix. The higher O2 concentration on the injected fluid used during 3-D Test #2 might have increased the oxidation of the hydrocarbons. As a result, the heat of combustion of coke from 3-D Test #2 was found to be lower than from Test #1 (with normal air injection). Therefore, it was not possible to obtain a generalized value for the heat of combustion of coke for Athabasca Oil Sands. Coke showed to have a lower contribution to the total heat of combustion when compared to other hydrocarbon components tested (oil, maltenes and asphaltenes). For this reason, coke appears to not be the main fraction used as fuel used during In Situ combustion process. A significant finding from this study is that the residual hydrocarbon which is visually identified as the coke bank or coke wall is a mixture of maltenes, asphaltenes and toluene insoluble coke fractions. It was also observed when measuring the heat of combustion of samples that involved residual hydrocarbon plus sand that either gelatin capsules or benzoic acid was required to achieve complete combustion of the samples.

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 candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,607
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
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 Opus0,006
Tête enseignante GPT0,196
Écart entre enseignants0,190 · 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.

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

Citations3
Publié2018
Routes d'admission1
Résumé présentoui

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