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Record W2339335707 · doi:10.2118/180262-ms

Pressure Dependent Permeability of Tight Rocks

2016· article· en· W2339335707 on OpenAlexaffabout
Takashi Akai, Yasumasa Takakuwa, K. Sato, James M. Wood

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSlippagePermeability (electromagnetism)Terzaghi's principlePore water pressureCompactionTight gasEffective stressGeotechnical engineeringOverburden pressureGeologyRelative permeabilityPetroleum engineeringMaterials scienceSoil scienceComposite materialChemistryHydraulic fracturingPorosity

Abstract

fetched live from OpenAlex

Abstract According to Terzaghi's principle, the effective stress σ' is related to the total stress σ and the pore pressure Pp by the relationship σ' = σ - Pp. In a typical reservoir depletion scenario, the pore pressure decreases under constant total stress, and as a result, the effective stress increases. The increase of the effective stress has a negative impact on permeability due to rock compaction, while the decrease in pore pressure enhances the apparent permeability because of the gas slippage effect. In tight gas reservoirs, since the slippage effect is no longer negligible, the pressure dependency of the permeability is very complicated. In this paper, we used three samples from the Montney tight gas siltstone reservoir in western Canada, whose absolute permeabilities range from in the order of 10-4 mD to 10-3 mD. Permeability measurements under different pressure conditions using both the unsteady state pressure decay and the pressure pulse decay methods were carried out. Based on the measured data, permeability was modeled as a function of reservoir pressure. Using this function, we carried out reservoir simulations and examined the impact of pressure dependence of permeability on the gas recovery process from a tight gas reservoir.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

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 communication0.0000.001
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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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 designBench or experimental
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

Citations13
Published2016
Admission routes2
Has abstractyes

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