Geologic Modeling and Simulation Report for the Aquistore Project
Notice bibliographique
Résumé
The Plains CO2 Reduction (PCOR) Partnership, through the Energy & Environmental Research Center (EERC), continues to support the Petroleum Technology Research Centre (PTRC) Aquistore project. This support has been in the form of geologic characterization; involvement in the Science, Engineering, and Research Committee (SERC); involvement in public outreach; developing geologic models; and running predictive simulations on the expect injection program at the site. The Aquistore project is part of the world’s first commercial postcombustion carbon capture, utilization, and storage project from a coal-fired power-generating facility, the SaskPower Boundary Dam, located in Saskatchewan, Canada, and acts as a storage site for a portion of the captured CO2 from the Boundary Dam power plant. The Aquistore site includes one injection well and a 152-meter offset observation well. Both wells were drilled and completed in the Deadwood and Black Island Formations. Injection at the Aquistore site was initiated in April 2015; at the time of this report, the daily injection rate ranged from approximately 300 to 500 tonnes per day. To better understand the storage implications of injecting carbon dioxide (CO2), history-match field pressure response, and predict CO2 plume evolution at the Aquistore site, the EERC has constructed a simplified simulation model based on reservoir physical properties obtained from previous mean probability (P50) static geologic model realization. Simulations have been conducted utilizing this model to better understand both operational and geologic uncertainties that may exist at the Aquistore site. The simulations are an update to those completed in the previous update of the original report entitled Geologic Modeling and Simulation Report for the Aquistore Project, Deliverable (D) 93, approved in 2014. In this update, a regional-scale model extends beyond the 34-square-kilometer PTRC 3-D seismic survey area. A local grid refinement (LGR) system near both the injection and observation wells was introduced for the history-matching and uncertainty analysis. Spinner log survey and pressure test data provided by partners were used and evaluated to adjust the near-wellbore local permeability in order to history-match the field pressure data. As of January 9, 2016, approximately 24,000 tonnes of CO2 has been injected during a series of relatively short operating periods. However, the injection rate during these short operating periods increased near the end of year 2015 to a level of 300 to 500 tonnes per day, based on the quantity of CO2 made available from the pipeline. The two wells have been closely monitored, and history matching was performed while reconciling rate, pressure, temperature, variations in injectivity, and injection flow. The current data set is well replicated by the simulation. However, CO2 breakthrough at the observation well has not yet been observed, and geophysical imaging of the CO2 plume has not yet been attempted. Thus important performance confirmations remain to be made, and additional reporting of project performance will be appropriate in the future. A new set of injection forecasts is presented, with some cases directly comparable to the previously published, pre-history match results.
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 | 0,001 | 0,001 |
| 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) | 0,002 | 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 ».