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Record W4415016273 · doi:10.1016/j.gsd.2025.101525

Spatiotemporal geochemical evolution of groundwater through an open-loop geothermal system – a field pilot study

2025· article· en· W4415016273 on OpenAlex
Charis Wong, Jérôme Comte, Jasmin Raymond, Christine Rivard, Geneviève Bordeleau

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGroundwater for Sustainable Development · 2025
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsCentre de Géomatique du QuébecInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGroundwaterHydrogeologyAquiferMixing (physics)Geothermal gradientPrecipitationHydrology (agriculture)Water well

Abstract

fetched live from OpenAlex

To investigate the operational challenges faced by groundwater heat pump systems (GWHPs), a field pilot study (two heat injection tests, HITs) was conducted to mimic operational processes involving pumping, heating and reinjection into the aquifer to simulate the cooling mode. This study aimed to acquire an understanding of the spatiotemporal evolution of groundwater chemistry as it circulates throughout different parts of the system (pumping well, heater inlet/outlet, injection well, monitoring well downgradient) and during different test phases (pre-test, HITs, post-test recovery). Hierarchical clustering analyses identified six clusters corresponding to different water types through space and time, which were categorised into two main conditions: natural (Na-Ca-Cl water) and perturbed (Ca-mixed-(HCO 3 -Cl-SO 4 ) water). Pumping-induced mixing between shallow and deeper water, along with draw-in of dissolved oxygen (DO), induced oxidising conditions and precipitation of iron oxides in the injection wells, subsequently leading to well blockage and premature termination of both HITs. The chemical signatures of the injected warm water reached the monitoring well faster than the thermal plume, suggesting different heat and solute transport mechanisms at play. While principal component analyses showed that water mixing was the main driver of differences between natural and perturbed geochemical conditions, geochemical modelling confirmed that DO intrusion was the main driver of iron oxide precipitation, surpassing the effect of water mixing and increased temperatures. Results from this study underline the importance of conducting a comprehensive spatiotemporal geochemical assessment of the hydrogeological system prior to and throughout the lifecycle of a GWHP system to predict and manage operational risks. • Two heat injection tests simulated operational processes of GWHP. • Pumping-induced oxidation caused well blockage by iron oxide precipitates. • Mixing drove a compositional continuum between natural and perturbed conditions. • The chemical plume of the injected water travelled faster than the thermal plume.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.266
Teacher spread0.246 · 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