Determination of Thermo-Mechanical Coal Deformations and Implication for CO2 Storage in Deep Coal Formations
Notice bibliographique
Résumé
ABSTRACT: CO2 sequestration along with enhanced coalbed methane (ECBM) has received considerable attention for energy recovery and CO2 storage. CO2 injection not only reduces permeability due to the swelling effect but modifies the temperature field, resulting in coupled thermo-mechanical coal deformations. Limited efforts have been devoted towards the understanding of thermo-mechanical deformations in the coalbed methane (CBM) industry. This study proposed a theoretical model of thermal expansion coefficients through energy principle. Direct measurements of coal deformations with variations in temperature and pressure were carried out. The results indicate that thermo-induced deformation linearly correlates with temperature variations with estimated thermo-deformative coefficients between 8×10-5/K to 10×10-5/K, falling within the theoretical bounds. Additionally, the coal matrix retains its elastic properties after thermal cycling. The mechanical compression at different temperatures exhibits similar trends, increasing linearly with pressure. The matrix bulk modulus increases with pressure cycles at elevated temperatures, indicating that the coal becomes stiffer due to residual strain and gradually increases with pressure depletion. Anisotropic matrix deformation was observed when the temperature was above 273.15 K. The deformation of the coal can have significant implications on the evolution of effective stress, permeability, and localized failure, ultimately controlling CO2 sequestration and long-term CBM production. 1. INTRODUCTION CBM is an unconventional natural gas resource stored within coal seams. Over the past four decades, CBM has developed rapidly and become an important energy source in the United States, Canada, Australia, China, et al. (Yang & Liu, 2021). CBM is known for its relatively low risk associated with low costs due to the maturity of CBM exploration, drilling, completion, and stimulation processes (Flores, 2013). In the United States, CBM production peaked at 1.97 trillion cubic feet (TCF) in 2008, and as of 2022, it still contributes 0.72 TCF, accounting for 2% of the overall U.S. natural gas production (U.S. Department of Energy, 2022, 2023). ECBM was first proposed by Puri (Puri & Yee, 1990) to address the inefficiencies resulting from the reservoir pressure reduction during the late time reservoir depletion. More recent attention has focused on the CO2-ECBM technology and CO2 storage, as depicted in Figure 1 (a) (Jessen, Tang, & Kovscek, 2008; Lin, Ren, Cheng, & Nemcik, 2021; Mazzotti, Pini, & Storti, 2009). CO2 can displace methane attributed to its higher affinity for coal, effectively enhancing methane recovery, particularly in low-permeability CBM reservoirs (White, Strazisar, Granite, Hoffman, & Pennline, 2003). Furthermore, this innovative process has a long-term environmental benefit of sequestering and storing CO2 within underground coal seams. The storage potential of CO2 in unminable coal seams is considerable, with estimated capacities ranging from 3 to 200 GtCO2, making it a relevant option for mitigating anthropogenic CO2 emissions (Mazzotti et al., 2009; Metz, Davidson, De Coninck, Loos, & Meyer, 2005). Many researchers have considered that during the CO2 injection process, CO2 adsorption can induce a significant matrix swelling (Figure 1 (b)), resulting in cleat closure and reduction in permeability (Pekot & Reeves, 2002; J.-Q. Shi & Durucan, 2005; Siriwardane, Gondle, & Smith, 2009; G. X. Wang, Wei, Wang, Massarotto, & Rudolph, 2010; White et al., 2005). This reduction in permeability limits the CO2 injection rate, which is critical for the success of CO2-ECBM (Bai et al., 2022; Lu & Connell, 2008; Zhang & Ranjith, 2019). Indeed, in addition to sorption-induced strain, the coal deformation can also be influenced by fluid composition, temperature, and water saturation, as demonstrated in Figure 1 (c), (d), and (e).
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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 ».