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Record W4411809659 · doi:10.55640/ijnget-v02i06-01

THE ROLE OF STRESS AND STRAIN IN MODULATING GAS PRODUCTION FROM SHALE

2025· article· en· W4411809659 on OpenAlexaff
Rebecca M. Lopez

Bibliographic record

VenueInternational Journal of Next-Generation Engineering and Technology · 2025
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsShale gasStrain (injury)Production (economics)Stress (linguistics)Oil shalePetroleum engineeringEnvironmental scienceMaterials scienceGeologyEconomicsMedicinePaleontologyInternal medicine

Abstract

fetched live from OpenAlex

This study investigates the stress-strain effects on gas production from shale formations, a crucial component in understanding the efficiency of gas extraction in unconventional reservoirs. Shale gas production relies heavily on hydraulic fracturing, which alters the stress-strain relationship within the formation. This paper presents a comprehensive analysis of how mechanical stress influences gas permeability, production rates, and the overall sustainability of shale gas operations. By examining field data, laboratory results, and numerical simulations, we evaluate the impact of stress changes on fracture propagation and gas flow in shale formations. The results indicate that the stress-strain behavior significantly affects gas recovery, with implications for optimizing drilling and fracturing processes. This research provides insights into the critical factors that control the performance of shale gas reservoirs and offers practical recommendations for improving production efficiency.

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 score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.006
GPT teacher head0.208
Teacher spread0.202 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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