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Record W7009882655

Évaluation du potentiel des anomalies géothermiques du bassin sédimentaire des basses-terres du Saint-Laurent (Québec, Canada).

2022· dissertation· fr· W7009882655 on OpenAlexaboutno aff

Bibliographic record

VenueEspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique) · 2022
Typedissertation
Languagefr
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHeat flowMoment (physics)Satellite altimetry
DOInot available

Abstract

fetched live from OpenAlex

L’énergie géothermique est une alternative à développer dans le cadre d’un futur mix énergétique décarboné au Québec. Les ressources géothermiques du bassin sédimentaire des Basses-Terres du Saint Laurent (BTSL) ont fait l’objet d’études visant à déterminer le potentiel de génération d’électricité à partir de systèmes géothermiques stimulés. Malgré que de tels projets ne soient pas pour le moment rentables, ces études ont déterminé l’existence de quatre potentiels sites d’anomalies thermiques positives au sein des BTSL. L’objectif de ce travail consiste à apporter une évaluation fiable du potentiel géothermique de ces anomalies en quantifiant les incertitudes liées à l’évaluation du flux de chaleur et des ressources géothermiques de profondeurs dites intermédiaires dans une optique de production de chaleur. À l’aide des données de forages profonds, les gammes de valeurs du gradient géothermique, du flux de chaleur en surface, et des ressources géothermiques ont été estimées en tenant compte de la variabilité des propriétés thermiques des roches à l’échelle du site. Les résultats ont montré que deux sites en particulier présentent un flux de chaleur supérieur aux moyennes attendues dans le bassin. Il s’agit des sites d’Arthabaska et de Brossard dont les valeurs moyennes atteignent 74,2 mW m⁻² et 108,8 mW m⁻², respectivement. Situé sur la Rive-Sud de Montréal où les besoins énergétiques sont importants, le site de Brossard suscite un grand intérêt pour l’implémentation de futures opérations géothermiques de moyenne profondeur. Cette zone a donc été étudiée plus en détail à partir de données superficielles issues de tests de réponse thermique et l’existence d’une anomalie thermique importante à Brossard a été confirmée. Dans la perspective d’implémenter une exploitation géothermique à Brossard, un nouveau puits devra être foré en ciblant des profondeurs différentes selon le type de ressources recherchées. Par exemple, pour du chauffage de bâtiments et autres applications agricoles, des températures de l’ordre de 30 à 50 °C sont atteintes dans la Formation du Beauharnois (de 600 à 950 m). Geothermal energy is an alternative to be developed as part of a future carbon-free energy mix in Quebec. The geothermal resources of the St. Lawrence Lowlands (SLL) sedimentary basin have been studied to determine the potential for electricity generation from enhanced geothermal systems. Such projects were found to currently be unprofitable but these studies determined the existence of four potential sites of positive thermal anomalies within the SLL basin. The objective of this work is to provide a reliable assessment of the geothermal potential of these anomalies for the purposes of heat production. This was done by assessing heat flow and medium-depth geothermal resources as well as their inherent uncertainties. Deep wells data were used to estimate the ranges of values of geothermal gradient, surface heat flow, and geothermal resources, taking into account the variability of rocks’ thermal properties at the site scale. The results revealed that two sites in particular have a greater heat flow than the expected averages in the basin. These are the Arthabaska and Brossard sites whose average values reach 74.2 mW m⁻² and 108.8 mW m⁻², respectively. Located on Montreal’s south shore where energy needs are significant, the Brossard site is of great interest in implementing medium-depth geothermal systems. Therefore, further study was conducted in this zone using surface data from thermal response tests and the existence of a major thermal anomaly in Brossard was confirmed. Toward the exploitation of geothermal energy in Brossard, a new well will have to be drilled targeting different depths depending on the type of resources sought. For example, for the purpose of heating buildings and other agricultural applications, temperatures of around 30 to 50 °C are reached in the Beauharnois Formation (600 to 950m).

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.060
GPT teacher head0.285
Teacher spread0.225 · 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 designObservational
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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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