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Record W2189167195

Updating the Tectonic Stress Map of Alberta Using Borehole Breakout Method

2011· article· en· W2189167195 on OpenAlexaffabout
O. Idowu, Douglas A. Schmidtt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBoreholeBreakoutGeologyGeothermal gradientStress (linguistics)TectonicsOrientation (vector space)Geothermal energySeismologyGeotechnical engineeringGeophysicsGeometry
DOInot available

Abstract

fetched live from OpenAlex

Summary The stress state of a medium is disturbed when a hole is drilled. This leads to stress concentration around the borehole wall, and consequently leads to borehole failures. One of such failures is borehole breakout which occurs along the minimum principal horizontal direction. Since this failure is completely due to stress effect, it provides information about the orientation and magnitude of the minimum horizontal stress in the disturbed medium. This work is part of the Helmholtz Alberta Initiative geothermal project one part of which is focused on updating the Alberta stress map particularly with a longer term view to supporting potential engineered geothermal systems that could provide thermal energy in N. Alberta. Average stress orientation computed from 41 wells shows that the major stress orientation is NW-SE, with some minor trends in NE-SW. Also, it is observed that these orientations vary with borehole depth, when individual wells are considered.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.886

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.032
GPT teacher head0.251
Teacher spread0.219 · 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
Published2011
Admission routes2
Has abstractyes

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