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Enregistrement W4240836341 · doi:10.2523/89341-ms

Implications of Coupling Fractional Flow and Geochemistry for CO2 Injection in Aquifers

2004· article· en· W4240836341 sur OpenAlexaboutno aff
M. Noh, Larry W. Lake, Steven L. Bryant, Aura Araque-Martinez

Notice bibliographique

RevueProceedings of SPE/DOE Symposium on Improved Oil Recovery · 2004
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueCO2 Sequestration and Geologic Interactions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCitationLibrary scienceAquiferDownloadComputer scienceArchaeologyEngineeringWorld Wide WebGeographyGroundwaterGeotechnical engineering

Résumé

récupéré en direct d'OpenAlex

Implications of Coupling Fractional Flow and Geochemistry for CO2 Injection in Aquifers M. Noh; M. Noh The University of Texas at Austin Search for other works by this author on: This Site Google Scholar L.W. Lake; L.W. Lake The University of Texas at Austin Search for other works by this author on: This Site Google Scholar S.L. Bryant; S.L. Bryant The University of Texas at Austin Search for other works by this author on: This Site Google Scholar A. Araque-Martinez A. Araque-Martinez The University of Texas at Austin Search for other works by this author on: This Site Google Scholar Paper presented at the SPE/DOE Symposium on Improved Oil Recovery, Tulsa, Oklahoma, April 2004. Paper Number: SPE-89341-MS https://doi.org/10.2118/89341-MS Published: April 17 2004 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Noh, M., Lake, L.W., Bryant, S.L., and A. Araque-Martinez. "Implications of Coupling Fractional Flow and Geochemistry for CO2 Injection in Aquifers." Paper presented at the SPE/DOE Symposium on Improved Oil Recovery, Tulsa, Oklahoma, April 2004. doi: https://doi.org/10.2118/89341-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Improved Oil Recovery Conference Search Advanced Search AbstractThe geochemical changes caused by CO2 injection into aquifers include acidification and carbonation of the native brine and potential mineral dissolution and precipitation reactions driven by the aqueous composition changes. The latter are important for evaluating the potential CO2 storage capacity in the form of minerals and can also influence the performance of the injection well.The theories of geochemical flows and of fractional flow provide useful insight into several aspects of CO2 sequestration. This paper gives the mathematical formalism of combined geochemical and multi-phase flow. If local equilibrium applies, the theory leads to graphical solution, from which it is easy to see when and under what conditions mineralization will occur during the injection. The theory also illustrates the influence of post-injection flow on mode of CO2 trapping (hydrodynamic, solubility, mineral, residual saturation). We also show that co-injection of water significantly alters the mode of trapping.IntroductionCarbon dioxide sequestration was first discussed in the late 1970s.1 However, serious research and development in CO2 sequestration only began in the early 1990s. The technical literature2–8 about CO2 disposal in aquifers includes feasibility studies in The Netherlands and in the Alberta Basin, Canada. A field test is being performed in the North Sea in the Sleipner Vest project, which is the first CO2 sequestration project in a brine-bearing formation.9Sequestering CO2 in geologic formations offers numerous advantages, including:10The experience of the oil industry can directly provide the technology to enable the commercialization of this approach.Several collateral economic benefits are possible, for example, enhancing oil and gas recovery while storing CO2.Suitable geologic formations, including oil, gas, brine, and coal formations are relatively easy to find.The regulatory infrastructure associated with the injection into oil and gas formations and deep aquifers is well established.Geologic analogs such as natural CO2 reservoirs prove that geologic structures can sequester CO2 for a very long time.Public acceptance for geologic sequestration should grow as technological advances lead to innovative methods for creating permanent mineral sinks for CO2.Carbon dioxide can be sequestered in geologic formations by three principal mechanisms.11CO2 can be trapped as a gaseous phase or supercritical fluid under a low-permeability caprock, similar to what occurs in natural gas reservoirs (hydrodynamic trapping).Dissolution into an aqueous phase (solubility trapping).CO2 can react with the minerals and the organic matter in geologic formations to become a part of the solid (mineral trapping). Formation of carbonate minerals such as calcite or siderite and the adsorption onto coal are other examples of the mineral trapping. Mineral trapping will create stable repositories of CO2 that decrease mobile hazards such as leakage to the surface.An additional form of storage — as a residual gas saturation — is also studied in this and a companion paper. Here CO2 remains as a gaseous phase, such as hydrodynamic trapping, but it is immobile because the gas is trapped by capillary forces. In this study, the immobile gas trapping is called the residual saturation trapping. Keywords: gaseous phase, semi-miscible displacement, injection, saturation profile, saturation, enhanced recovery, analytical solution, equation, aquifer, dissolution Subjects: Reservoir Fluid Dynamics, Improved and Enhanced Recovery, Flow in porous media This content is only available via PDF. 2004. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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.

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,083
Score d'incertitude au seuil0,538

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,236
Écart entre enseignants0,227 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

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

En bref

Citations3
Publié2004
Routes d'admission1
Résumé présentoui

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Même revueProceedings of SPE/DOE Symposium on Improved Oil RecoveryMême sujetCO2 Sequestration and Geologic InteractionsTravaux en français237 207