Evaluation of CO <sub>2</sub> Storage Potential in the Deep Mannville Coals of Alberta
Notice bibliographique
Résumé
Deep unmineable coal seams are a promising geologic sink in which to store CO 2 permanently, providing a potential pathway to achieving a net-zero emission future. Unlike other porous sedimentary formations (i.e., sandstone) where structural trapping is the dominant storage mechanism, the primary storage mechanism in coal is gas adsorption. Importantly, CO 2 adsorbs onto coal to a greater degree than other typical natural gas components, including CH 4 , providing tremendous retention capacity for carbon sequestration. However, a significant challenge to the long-term injection of CO 2 into coal seams is the loss of injectivity and permeability associated with the adsorption-induced matrix swelling effect. In this study, the results of a field demonstration (pilot) of CO 2 sequestration in the deep Mannville coals of Alberta are provided. The pilot consists of a vertical injection well, used to inject water (pre-CO 2 ) and CO 2 into the coals, and a closely spaced observation well, used to evaluate pressure responses (in the coal and bounding strata) and fluid compositions (in the coal) during injection. A reservoir simulation study was performed in order to guide pilot operations, history-match the pilot data, and predict CO 2 storage and potential migration. The numerical model was set up to include both coal and non-coal bounding strata (multi-layer model) in order to simulate CO 2 , natural gas, and water flow within the coal and to evaluate potential migration into bounding strata. The extended Langmuir model was employed to model the competitive adsorption behavior of CO 2 and CH 4 in the coal, and the Palmer–Higgs model was used to simulate the effect of geomechanical anisotropy, effective stress, and volumetric adsorption strain on permeability evolution during CO 2 injection. As a result, coal permeability was dynamically updated as a function of gas composition and pore pressure in the simulation model. Prior to the pilot demonstration, pre-field simulation results suggested that the operator-specified amount of CO 2 (~1,500 tonnes) can be safely injected into the target Mannville coal seam (at 1,500 m) in less than 7 days. The pre-field simulation model, populated with site-specific geologic information, provided critical guidance to operational design. The reservoir model was then calibrated to both pre-CO 2 water injection/falloff data and to CO 2 injection/falloff data obtained from the field pilot. Matching of the water injection/falloff data was used to derive critical reservoir properties, unaffected by CO 2 adsorption, such as permeability as a function stress. Furthermore, permeability anisotropy was quantified. Matching of the subsequent CO 2 injection/falloff data (a total of 1,512 tonnes was actually injected) was used to assess the impact of CO 2 on coal transport properties and to evaluate the CO 2 storage potential of the Mannville coal seam at the pilot site. Through this analysis, it was determined that injection could be conducted without a significant loss of injectivity and that the coal exhibited strong geomechanical anisotropy. This study successfully demonstrates the feasibility of CO 2 sequestration in the deep Mannville coals in the studied area.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».