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Record W2957240270 · doi:10.1002/ese3.402

Effect of the vertical stress on <scp>CO</scp><sub>2</sub> flow behavior and permeability variation in coalbed methane reservoirs

2019· article· en· W2957240270 on OpenAlexaff
Ziwei Ding, Jindui Jia, Ruimin Feng

Bibliographic record

VenueEnergy Science & Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsUniversity of Calgary
FundersNational Natural Science Foundation of China
KeywordsCoalbed methanePermeability (electromagnetism)Hydraulic fracturingGeologyPetroleum engineeringCoalTight gasOverburden pressureGeotechnical engineeringStress (linguistics)MethaneReservoir simulationStress fieldPetrologyCoal miningEngineeringFinite element methodChemistryStructural engineering

Abstract

fetched live from OpenAlex

Abstract Given that in situ stress evolution is of great importance in characterizing coalbed methane reservoirs during gas production, CO2 sequestration, and reservoir fracturing, a series of laboratory measurements were conducted to investigate the role of the vertical stress on gas flow behavior and permeability evolution of San Juan Basin coal. Due to the difficulty in maintaining a steady‐state flow when testing coals with tight structure, the pressure transient technique was employed and experiments were conducted under different boundary conditions: uniaxial strain condition and lateral stress‐controlled condition. The results indicated that the vertical stress has a negative role in permeability enhancement. To verify this finding, one more set of experiments under the vertical stress‐controlled condition was carried out. In addition, the application of CO2 injection on reservoir fracturing was theoretically analyzed. The results indicated that both CO2 injection and the vertical stress can exert positive effects on reservoir fracturing. This study contributes to the understanding of the effect of the vertical stress on permeability variation during CO2 injection, which has practical significance for permeability modeling and reservoir fracturing operation in the field.

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)0.000
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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.005
GPT teacher head0.198
Teacher spread0.194 · 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

Citations14
Published2019
Admission routes1
Has abstractyes

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