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Record W44160994

Finite Element Modeling of Fluid Flow in Peace River Arch of Western Canada Sedimentary Basin:Implications for Hydrothermal Dolomitization

2009· article· en· W44160994 on OpenAlexfundaboutno aff
Yuxia Niu

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2009
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
FundersUniversity of Windsor
KeywordsDolomitizationGeologyHydrothermal circulationGeochemistryStructural basinSedimentary rockSedimentary basinGeomorphologyPaleontologyFacies
DOInot available

Abstract

fetched live from OpenAlex

This study aims at numerically investigating thermohaline fluid flow and its controlling factors related to the Devonian-age hydrothermal dolomitization in the Peace River Arch (PRA) area, Western Canada Sedimentary Basin. Simulation results indicate that faults serve as important conduits for upwelling fluid flow, which may bring reactants and heat from depth into the shallower Wabamun aquifer for dolomitization. Higher salinity distribution at depth impedes the upwelling hydrothermal fluid flow. However, evaporative conditions at surface during active tectonic stage allow high saline fluids to move downwards into the aquifer but prevent hot fluids flowing into it from depth. Topography does not significantly influence the fluid flow patterns in the PRA. Therefore, buoyancy- and topography-induced fluid flow is likely not responsible for the hydrothermal dolomitization in the study area, and other driving mechanisms need to be investigated.

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 score0.395
Threshold uncertainty score0.794

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.018
GPT teacher head0.214
Teacher spread0.196 · 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".

Quick stats

Citations0
Published2009
Admission routes2
Has abstractyes

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