CO 2Sequestration into Coalbeds
Notice bibliographique
Résumé
Abstract Sorption, strain, and flow-related laboratory experiments combined with numerical modeling have been conducted with CO 2and other gases, including N 2, CH 4, H 2, H 2S, and SO 2on a variety of coal cores and coal powders to investigate the interplay of the parameters controlling storage, migration, and permeability changes during sequestration. The experiments include sorption isotherms, volumetric swelling or shrinkage of coal matrix during sorption (with a variety of gases on solid coal cores), N 2flow-through experiments on CH 4-saturated coal cores, and N 2effects on permeability. The order of adsorption capacity for a given coal in ascending order was H 2< N 2< CH 4< CO 2< H 2S < SO 2. The ratio of adsorptive capacity of the gases to various coals is rank dependent, which our experiments show is mainly attributable to declining moisture content with increasing coal rank. In low volatile bituminous rank coals, the ratio of CO 2to CH 4adsorption capacity at a given pressure is about 2:1, but this is about 10:1 in subbituminous coals. Moisture content in the coal reduces the adsorption capacity of CH 4whereas increased adsorption capacity was observed with CO 2, H2S, and SO2 with increasing moisture content. Because these gases have high Henry’s solubility coefficient, moisture from the coal micropore surface is stripped off to react with gases making moisture-occupied sorption sites available for the gases to adsorb resulting high adsorption capacity with high-moisture coals. Sorption-related strain experiments with N 2, CH 4, CO 2, and H2S show that adsorption of gases on coal causes swelling of the coal matrix, which is directly proportional to the amount of gas adsorbed onto the coal and hence increases with rank. The average volumetric strain of the samples tested in decreasing order is H 2S (2.5 × 10 –3g/cm 3)> CO 2(9.9 × 10 –4g/cm 3)>CH 4(6.9 × 10 –4g/cm 3)>N 2(3.1 × 10 –4g/cm 3). Adsorption of CO 2relative to CH 4causes a relatively higher volumetric strain of the coal matrix and in turn reduces cleat permeability causing significant reduction in the sequestration capacity into coalbeds. Injection of N 2into coalbed significantly improves the permeability while displacing the CH 4because of its lower adsorption and associated swelling. Our experiments with associated analytical and numerical modeling using real data clearly indicate that sequestering pure CO 2into most coal seams results in volumetric strain and associated loss of permeability that quickly inhibit further or significant sequestration. Hence, it is very unlikely that in-situ sequestration of significant amounts of pure CO 2will be possible in any but the most permeable coals such as those of the Powder River Basin. However, mixing of N 2with CO 2significantly enhances the sequestration potential into coalbeds. Based on our results, a new numerical model was developed, which takes into consideration the shrinkage coefficients derived from experimental results with various gases coupled with mechanical properties of rocks, which closely predict the behavior of CO 2sequestration in coalbeds. The N 2flow-through experiments on CH 4-saturated coal cores confirm the modeling results that N 2displaces the methane while inhibiting the permeability reduction because of its low sorption property. However, this process requires a minimum permeability to start with and has to be coupled with the drawdown of CH 4; otherwise N 2sorbs into coalbeds because of increased pressure in the overall system without an associated decrease in the partial desorption of CH 4pressure. Based on our experimental and modeling experience, analytical and numerical solutions provide a good approximation of the behavior of the multicomponent, multiphase flow of gases in coalbeds. However, much more work is required in understanding the sorption behavior of multicomponent gases and their effects on volumetric strain vis-à-vis their sensitivity to permeability on a variety of coals.
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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) | 0,000 | 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 ».