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Enregistrement W2808676081

Numerical investigation of the geophysical response to methane migration in an unconfined aquifer with implications for hydrocarbon wellbore leakage

2018· dissertation· en· W2808676081 sur OpenAlexaboutno aff
Dylan R. Klazinga

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2018
Typedissertation
Langueen
DomaineEngineering
ThématiqueHydraulic Fracturing and Reservoir Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWellboreAquiferGeologyPetroleum engineeringLeakage (economics)MethaneGeotechnical engineeringGeophysicsPetrologyGroundwaterChemistry
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Methane gas leakage from oil and gas development can impact freshwater aquifers. Accurate depictions of gas migration in the subsurface will depend on knowledge of physical parameters and flow system conditions. Geophysical methods have the capacity to detect and track transient changes in gas-phase saturation; suitable methods can be deployed at surface or within boreholes depending on the required depth of investigation. While the application of geophysical methods to monitor immiscible-phase fluids in the subsurface has been extensively documented, knowledge of governing hydraulic parameters, flow system conditions, and impacts on the geophysical responses used to elucidate hydrogeologic processes remains underdeveloped. A series of numerical multi-phase flow models simulating a 72 day controlled methane leakage experiment in an unconfined aquifer at Canadian Forces Base (CFB) Borden (Cahill et al., 2017) were conducted to evaluate the utility of electrical resistivity tomography (ERT) and ground-penetrating radar (GPR) to monitor and characterize the transient evolution of the gas-phase plume, and to better understand the impacts of varying hydraulic properties and flow system conditions on the geophysical signatures used to interpret gas phase behaviour (Steelman et al., 2017). This study investigates the role of multi-phase parameters (e.g., relative permeability, air-entry pressure, and injection rate history), flow system conditions (e.g., heterogeneity, anisotropy, and groundwater velocity), and geometrical properties (e.g., con fining layer thickness and continuity) on the flow of gas-phase methane emanating from a variable rate source, and the subsequent impacts of gas migration on the geophysical responses observed from surface geophysical surveys. Aquifer parameters were based on physical measurements of soil core from the injection site and literature values for the Borden sand, while the injected methane was considered to be non-reactive over the simulation period. \n \nIn a homogeneous, weakly anisotropic aquifer gas migrated vertically by buoyancy and efficiently vented to the vadose zone. As vertical migration was restricted through the addition of anisotropy, lower-permeable features, and increased horizontal groundwater velocity, an increase in the horizontal component of the gas migration was observed, leading to a broader gas-phase plume, establishment of variably distributed vertical preferential flow paths, and greater gas retention in the aquifer. The inclusion of a thin layer with moderately lower permeability with an increased entry pressure representing a thin sand lens within the aquifer, caused gas to accumulate within pools below the layer, extending farther down-gradient than would be expected from advection alone. These results showed that in all scenarios gas-phase methane mostly migrated vertically under buoyancy conditions until some barrier to vertical migration was reached, at which point gas migrated laterally until pressures exceeded the entry pressure. Corresponding ERT and GPR models were run using the multi-phase flow model pore water saturation distributions to parametrize electrical resistivity and dielectric permittivity across the model domains using Archie's Law and the Complex Refractive Index Model, respectively. These models showed that ERT was effective at imaging the central plume (i.e., primary bulb around the shallow injector), but was less effective at detecting thinner lateral migration pathways (i.e., preferential flow paths migrating beyond the primary bulb). Conversely, GPR was able to detect thin gas pools emanating from the primary gas bulb and small-scale vertical preferential pathways arising from capillary boundaries; gradational boundaries, however, proved to be a more difficult target using GPR (e.g., outer boundary of the gas plume and gas trapped within lower-permeable layers with no increase in capillary pressure). The results of this study demonstrate that ERT and GPR can be very useful tools for longer-term monitoring of stray gas leakage in freshwater aquifers, particularly when there is a strong lateral migration component to flow and access to the contaminated aquifer zone is feasible. However, additional work remains to understand the impacts of methane oxidation (aerobic and anaerobic) on the geophysical signatures associated with gas and aqueous-phase methane migration and the role of external processes such as recharge, barometric pressure, and temperature on gas plume behaviour.

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)0,000
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: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,106
Score d'incertitude au seuil0,210

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,008
Tête enseignante GPT0,205
Écart entre enseignants0,197 · 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'étudeSimulation ou modélisation
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

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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