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Record W2808676081

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

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

Bibliographic record

VenueUWSpace (University of Waterloo) · 2018
Typedissertation
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWellboreAquiferGeologyPetroleum engineeringLeakage (economics)MethaneGeotechnical engineeringGeophysicsPetrologyGroundwaterChemistry
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.205
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
Has abstractyes

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