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Record W321381362

Fracture Partitioning and its Controls on the Distribution of Transmissivity in Sedimentary-Rock Aquifers, Chateauguay River Basin, Province of Quebec

2005· article· en· W321381362 on OpenAlexaboutno aff
Roger H. Morin, R. Godin, Miroslav Nastev, Alain Rouleau, Charles Lamontagne

Bibliographic record

VenueAGU Fall Meeting Abstracts · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyBoreholeSedimentary rockBedAquiferBeddingStructural basinGroundwater flowGroundwaterGeomorphologyPetrologyGeochemistryGeotechnical engineeringAnisotropy
DOInot available

Abstract

fetched live from OpenAlex

The Chateauguay River Basin in the Province of Quebec is underlain by sedimentary rocks of Lower Paleozoic age. These gently dipping sandstones and dolostones are interspersed with orthogonal sets of subhorizontal bedding-plane partings and subvertical joints; it is through this network of fractures that groundwater flow is primarily conducted. Geophysical logs obtained in 13 boreholes were used to identify and characterize the three primary rock units: (1) relatively soft arkosic sandstones [Covey Hill], (2) well-cemented quartz-rich sandstones [Cairnside], and (3) dolostones with dolomitic sandstones [Beekmantown]. Acoustic televiewer images of the borehole walls identify a fracture partitioning scheme unique to each formation, where joint spacing (S) and bed thickness (H) are related to rock elastic properties as determined from the full-waveform sonic logs. Results of hydraulic tests in these boreholes using both flowmeter and straddlepacker techniques confirm that groundwater flow is predominantly controlled by distinct bedding-plane partings that have transmissivities several orders of magnitude greater than those of the competent rock matrix. Moreover, there appears to be a correlation between the spatial distribution of these permeable features and the rock unit. In the softer sandstones, beds are more massive (H=49 cm) and joints are sparse. On average, only one permeable zone is identified for every 80 m depth, but it may extend laterally for several km based on curve matching of gamma logs and results of pumping tests. The hard sandstones have thinner beds (H=36 cm) and more closely spaced joints. Permeable zones are intercepted more frequently (approx. 5 per 80 m depth), but hydraulic communication appears to be more limited laterally. Finally, dolostones have even thinner beds (H=27 cm) and more closely spaced joints, but the frequency of permeable zones appears to be intermediate between the other two rock types (approx. 2 per 80 m depth). Moreover, no extensive horizontal connection between boreholes has been observed. These results provide information on the vertical distribution of transmissivity with respect to rock type and its particular fracturing scheme, and permit us to make general observations regarding horizontal to vertical transmissivity anisotropy.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.208
Teacher spread0.200 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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