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Record W2109867855 · doi:10.1061/9780784413272.275

Multiscale Discontinuities Due to Differential Stress around a Pressurized Borehole

2014· article· en· W2109867855 on OpenAlexaff
Hao Xu, Chloé Arson, Seth Busetti

Bibliographic record

VenueGeo-Congress 2014 Technical Papers · 2014
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsClassification of discontinuitiesHydraulic fracturingDifferential stressMesoscopic physicsBoreholeGeologyFracture mechanicsFracture (geology)Damage mechanicsMechanicsRock mass classificationStress (linguistics)Geotechnical engineeringFinite element methodMaterials scienceDeformation (meteorology)Structural engineeringEngineeringPhysicsComposite material

Abstract

fetched live from OpenAlex

Most fracture propagation models do not properly represent smaller-scale discontinuities in the process zone. This paper reviews the different modeling strategies available to date to model crack propagation at microscopic, mesoscopic, and macroscopic scales. The differential stress induced damage (DSID) model recently proposed by the authors is then used to simulate fracture propagation around a pressurized borehole with the finite element method. In a pristine rock mass, the damage zone presents several symmetries in three dimensions, which are in agreement with the definition of the damage-driving force controlling the initiation and propagation of damage. If hydraulic fracturing is enhanced by the presence of initial cracks, the propagation of the damage zone depends on the geometry of the initial defects. It is found that simulating rock initial texture by a smeared damaged zone provides good analogs to the viscosity-dominated and toughness-dominated fracture propagation regimes expected during hydraulic fracturing. Future work will be dedicated to the fully coupled formulation of a hydro-mechanical model of damage around hydraulic fractures.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.006
GPT teacher head0.208
Teacher spread0.201 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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