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Enregistrement W4246297604 · doi:10.2118/2002-134-ea

Biologically Formed Calcium Carbonate: A Durable Plugging Agent For Enhanced Oil Recovery

2002· article· en· W4246297604 sur OpenAlexaffabout
Mehdi Nemati, G. Voordouw

Notice bibliographique

RevueCanadian International Petroleum Conference · 2002
Typearticle
Langueen
DomaineMaterials Science
ThématiqueCalcium Carbonate Crystallization and Inhibition
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésCalcium carbonateCarbonateEnhanced oil recoveryCalciumPetroleum engineeringMaterials scienceChemical engineeringChemistryGeologyComposite materialMetallurgyEngineering

Résumé

récupéré en direct d'OpenAlex

Abstract Biological formation of calcium carbonate, using purified urease enzyme or urease enzyme produced by a bacterium isolated from a Canadian oil field, were studied in a batch system. The extent of enzymatically produced CaCO3 increased with increases in enzyme and reactant concentrations and temperature. In the presence of bacteria the quantity of produced CaCO3 was dependent on urea concentration, with the highest achieved with 15 g/L urea. Bacterial production of CaCO3 was less sensitive to temperature. Plugging studies in unconsolidated porous media indicated that in situ formation of CaCO3 could lead to a significant decrease in permeability, with the extent of plugging being dependent on the concentration of enzyme and reactants, as well as temperature. Introduction The injection of water into oil reservoirs (water flooding) is common for enhancement of oil recovery. When water is injected into a reservoir, flow is preferentially diverted into high permeability zones from which oil has already been recovered during the primary production. Increased permeability variation decreases volumetric sweep efficiency of injected water and cross flow complicates this problem by allowing flow between contrasting layers, leading to an unacceptably high ratio of produced water to oil (1). The excessive production of water can be controlled by selective plugging of high permeability areas in the reservoir. Selective plugging of the reservoir by bacterial biomass, or insoluble biopolymers produced by microorganisms has been suggested as a means to improve microscopic and volumetric sweep efficiencies within the geological formation(2–4). Recently, the use of bacterially precipitated inorganic compounds such as calcium carbonate and silica has been suggested as an effective method for selective plugging of reservoirs(2). The controlled biological formation of CaCO3 is based on the decomposition of urea to carbonate and ammonium ions by the catalytic action of urease enzyme, either introduced into the system or produced in situ by a bacterium with urease activity, and the reaction of the produced carbonate ion with calcium chloride. In the present work enzymatic and bacterial formation of calcium carbonate were studied, using urease enzyme and a bacterium isolated from a Canadian oil field. The results of plugging tests, using enzymatically formed calcium carbonate, in unconsolidated porous media system are described. Theory and Experimental Procedures The efficiency of enzymatically formed calcium carbonate in plugging of porous media was studied in a model core system. This was a modification of the system used by Ferris et al.(2), for mineral plugging studies. A schematic diagram of the system used in the present study, allowing testing of three different reaction conditions simultaneously, is shown in Figure 1. Glass columns (ID 2.5 cm and H 30 cm), packed with a mixture of sand (Dave 225 micron) and glass beads (Dave 75 micron), were used as model cores. A glass tube (ID 0.5 cm and H 55 cm) with overflow open to the atmosphere was devised in the liquid pathway to create a constant head pressure. Before initiating the plugging experiment, the designated column was connected to the peristaltic pump and distilled water was pumped into the column at a specified rotation speed of the pump.

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 candidatesCharge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,799
Score d'incertitude au seuil0,997

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 savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0090,000

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 Opus0,040
Tête enseignante GPT0,248
Écart entre enseignants0,207 · 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

Citations2
Publié2002
Routes d'admission2
Résumé présentoui

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