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Enregistrement W2981847644 · doi:10.4095/288700

A review and assessment of technologies for the geological storage of CO2 as gas hydrate in aquifers

2011· review· en· W2981847644 sur OpenAlexaffabout
Bill Gunter, Doug MacDonald, B Wagg, Richard J. Chalaturnyk, Brent Lakeman, Kevin M. Brown, M. Uddin

Notice bibliographique

Revuenon disponible
Typereview
Langueen
DomaineEnvironmental Science
ThématiqueMethane Hydrates and Related Phenomena
Établissements canadiensNatural Resources Canada
Organismes subventionnairesnon disponible
Mots-clésAquiferClathrate hydratePetroleum engineeringHydrateEnvironmental scienceGeologyEarth scienceGroundwaterChemistryGeotechnical engineering

Résumé

récupéré en direct d'OpenAlex

Governments from around the world have expressed an interest in taking action to address the risks of global climate change. One recent approach for preventing large volumes of CO2 from being released into the atmosphere is the capture of CO2 from industrial facilities and storing it in deep geological formations. One CO2 storage application could involve the capture, transport and storage of CO2 as a hydrate in aquifers in locations where CO2 hydrate formation is possible or methane hydrates already exist. This paper outlines the technologies that would be associated with this CO2 storage application. Gas hydrates or clathrate hydrates are ice-like solids, non-stoichiometric compounds of gas molecules and water. They form when low molecular guest molecules such as CH4 or CO2 come into contact with water under certain thermodynamically favourable conditions (typically, temperature less than 300K and pressure more than 0.6 MPa). Three specific reservoir types have been identified by the Geological Survey of Canada as having the appropriate pressure and temperature conditions to maintain stable CO2 hydrates: 1. sub-sea sediments 2. sub-permafrost aquifers in the far north 3. sub-lake sediments below Lake Superior In some cases, these technologies will be similar to other CO2 storage applications. Perhaps CO2 hydrate formation is most similar to CO2 storage associated with coalbed methane except that in coals, the CO2 is sorbed to the coal as a dense phase. Certain conditions for storing CO2 in hydrate form are quite different from other CO2-storage applications such as CO2 enhanced natural gas recovery or CO2 enhanced oil recovery. Hydrate conditions may require different technologies to be considered in the capture, transport, injection and monitoring of CO2. Additionally, numerical studies will be important for providing an integrated understanding of the process mechanisms in predicting the potential and economic viability of methane production and CO2 storage in a hydrate geological reservoir. With respect to the capture of CO2 that could ultimately be stored as a hydrate, the feasibility and likelihood of commercial application of CO2 capture technology depends very much on the industrial process from which the waste CO2 stream is produced. There are a number of processing options available for separation of CO2 from produced gas streams containing CO2, including gas separation membranes, chemical absorption, physical absorption and cryogenic systems. All of these have been used commercially. Mackenzie Valley gas could also be handled using commercially available processes if they contain sufficient CO2 for a large scale hydration operation. Final selection of capture technology would depend on process specifics, such as gas stream composition, pressure, flow rate, and operating costs. The location of storage opportunities somewhat limits the potential sources of CO2 and suggests that relatively long CO2 pipelines may be required. CO2 can be pipelined in dense phase at temperatures from 25°C to 0°C, thereby reducing the impact in permafrost areas. As a general rule, transportation costs still are only 5-15% of overall projects costs with capture being the vast majority (80%) of overall costs. The risks associated with the handling and transport of pure CO2 are technically manageable and low, relative to the risks associated with many other industrial gases and chemicals. Properly designed and operated, a high-pressure CO2 pipeline should present minimal health and safety risk. Further, the risks associated with operating a high-pressure CO2 pipeline are significantly less than those associated with produced hydrocarbon streams containing H2S. Operations where CO2 is injected into subsurface aquifers to form stable hydrates in the reservoir face some unique challenges in designing and operating the transportation and well systems. For example, warm gas (above the hydrate stability temperature at the injection pressure) may need to be injected to ensure hydrates do not form near or in the wellbore. As well, shut down scenarios for the CO2 pipeline transportation system must minimize the volume of cold gas that would be injected into the wells at restart to minimize the risk of forming hydrates in the well and reducing injectivity. Wells that penetrate permafrost zones must be insulated to prevent gas cooling and thaw of the permafrost. Injection pressures must be managed to prevent hydraulic fracturing in the reservoir and to minimize formation movements that could impact the well seal integrity. Ultimately, casing and cement corrosion downhole can be minimized with appropriate selection of materials. Reservoir modelling was the prime objective of an accompanying report. Results were promising for CO2 hydrate storage. Future focus should be on: evaluating accompanying ice formation in the lower temperature reservoirs; injection of hot CO2 into 100% water saturated aquifers near 0oC; co-production of methane from existing hydrates and CO2 storage in hydrates; geomechanics of permeability changes during hydrate formation; competing carbonate mineral reactions with CO2 hydrate formation; slurry injection of hydrates; and horizontal well placement. Monitoring and verification are an integral part of the performance assessment of a geological storage project. As such, the implementation of an appropriate monitoring scheme is the core of a monitored decision framework. The focus of monitoring depends on the phase of monitoring (operational, verification or environmental) and the particular mechanism (i.e. migration, leakage or seepage) being measured. The monitoring systems will be different for each reservoir situation and reservoir type. There are a variety of effective tools and methods for monitoring the injection of CO2 underground that will delineate how the fluid is migrating, and whether or not the sink is leaking. These monitoring techniques combined with analytical and numerical techniques will help to either validate or adjust the predicted migration of the CO2 plume, and the soundness and robustness of the properties input into the models, as well as to take any mitigation activity if the facility underperforms. The cost versus benefit must be weighed in eciding which monitoring techniques to apply.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0040,005
Études des sciences et des technologies0,0000,000
Communication savante0,0010,002
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,054
Tête enseignante GPT0,331
Écart entre enseignants0,278 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2011
Routes d'admission2
Résumé présentoui

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