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Record W2936104379 · doi:10.3997/2214-4609.201900303

Estimation of Unconventional Reservoir Matrix Permeability and Pore Volume Using Rate-Transient Analysis Techniques: Method Refinements

2019· article· en· W2936104379 on OpenAlexaff
Christopher R. Clarkson, A. Vahedian, Amin Ghanizadeh, Chengyao Song

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsUniversity of Calgary
FundersEngineering and Physical Sciences Research Council
KeywordsPermeability (electromagnetism)Transient analysisVolumetric flow rateTransient (computer programming)Biological systemComputer scienceAlgorithmChemistryMechanicsPhysicsSteady state (chemistry)

Abstract

fetched live from OpenAlex

Summary A core analysis procedure based on rate-transient analysis theory has been successfully tested in the lab. Two permeability estimates and one pore volume estimate are possible using this technique, with the results being achieved faster than conventional testing (e.g. pulse-decay test). Refinements in one permeability estimation method, based on the distance of investigation, were illustrated. The combination of the rate-normalized pseudopressure derivative, used to identify the end of linear flow, and a new expression for DOI, yielded permeability values very close to the pulse-decay method.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.999

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)0.0020.000

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 head0.013
GPT teacher head0.385
Teacher spread0.372 · 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.

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

Citations3
Published2019
Admission routes1
Has abstractyes

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