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Record W1970637101 · doi:10.2118/170136-ms

Experimental Studies: Shear Induced in Single Phase Permeability

2014· article· en· W1970637101 on OpenAlexaff
Kais Abdallah Ben, Mohamed Hamoud, Rick Chalaturnyk

Bibliographic record

VenueSPE Heavy Oil Conference-Canada · 2014
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsHusky Energy (Canada)University of Alberta
Fundersnot available
KeywordsOverburden pressurePermeability (electromagnetism)Geotechnical engineeringEffective stressShear stressOverburdenGeologyRelative permeabilityIsotropyPore water pressureShear (geology)Materials scienceComposite materialChemistryPorosity

Abstract

fetched live from OpenAlex

Abstract Absolute permeability plays an important role in reservoir engineering. Reservoirs like oil sands are shallow unconsolidated formations and stress dependent. During steam-assisted drainage (SAGD) the effective stress increases as results of either increasing in temperature or pore pressure. Rock properties for instance permeability will be induced by this change to influence therefore reservoir calculations. To understand the behavior of stress-strain in unconsolidated reservoir during a SAGD, a series of drained triaxial compression tests were performed to study the shear-induced changes in absolute permeability at low stress conditions. The experimental program included stress-strain tests under two different paths: isotropic unloading and increasing of mean stress was followed by permeability tests at each levels of strain and at different confining effective stresses. Results from this study showed a substantial increase of absolute permeability in the lower case of 50 kPa of effective confining stress. This gain was up to 88%. In the higher level of effective confining stress, however, there was a decrease of absolute permeability. The aim of this project was to provide an empirical correlation linking the absolute permeability to effective confining stress and volumetric stain so that the behavior of absolute permeability at different overburden depths will be understood.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.339
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

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

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 head0.036
GPT teacher head0.268
Teacher spread0.232 · 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 teacher head, 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

Citations5
Published2014
Admission routes1
Has abstractyes

Explore more

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