MétaCan
Menu
← Back to cohort
Record W2485871922 · doi:10.2118/181816-ms

Impacts on SRV Region in Low-Permeability Formations Due Stressse Around a Hydraulic Fracture

2016· article· en· W2485871922 on OpenAlexaff
Yarlong Wang, Fotios Karaoulanis

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsPetro Geotech (Canada)
Fundersnot available
KeywordsDilatantPermeability (electromagnetism)Hydraulic fracturingShear (geology)Cohesion (chemistry)GeologyThickeningGeotechnical engineeringMaterials sciencePetrologyChemistry

Abstract

fetched live from OpenAlex

Abstract Stresses induced near a hydraulic fracture are calculated in an elastoplastic Mohr-Coulomb type formation. While an effective compressive stress increase may reduce the permeability in the formation, the induced shear stresses and dilatant zone developed can increase the stimulated reservoir volume (SRV) and the size of an enhanced permeability zone. Therefore, the induced shear stresses and dilatant zone are used in this article in order to quantify the size of the SRV. It is emphasized that when the SRV can be characterized by elastic strains generated during a fracturing process, this reversible SRV may not be maintained during production. It is those irreversible SRV (ISRV) or dilatant volumetric strains that are the key for producing low-permeability reservoir economically. It is suggested therefore that a production enhancement in these formations is dominated by the possible ISRV which are quantified by the cohesion, the orientation of the natural fracture network and in-situ stress ratios.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.009
GPT teacher head0.223
Teacher spread0.215 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicHydraulic Fracturing and Reservoir Analysis→French-language works237,207→