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Record W4297919749 · doi:10.2118/210017-ms

Experimental Investigation of Hydraulic Fracturing on the Montney Formation

2022· article· en· W4297919749 on OpenAlexaff
Reza Safari, Richard Albert, Dallin Laycock

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2022
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsAcoustic emissionGeologyHydraulic fracturingClassification of discontinuitiesViscosityFracture (geology)Slip (aerodynamics)Geotechnical engineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Abstract To assist in understanding the role of rock fabric, stress state, and fracturing fluid viscosity on fracture geometry, four large, dry blocks (28" × 28" × 36") sourced from a Montney formation outcrop were hydraulically fractured in a series of laboratory experiments. These tests investigated the role of texture on hydraulic fracture (HF) propagation with different fluid viscosities, and strike-slip and normal stress regimes. Each block was hydraulically fractured in two stages to allow comparison, within the same overall rock fabric, of fractures created by the different viscosities and injection rates. Pre-existing discontinuities, including calcite-cemented fractures and calcite layers were mapped prior to the test by a goniometer. The static elastic properties, failure parameters, dynamic properties, and fracture toughness of the host rock were measured in detail. During each test, the HF propagation was monitored by recording the generated acoustic emissions. Subsequently, the blocks were carefully dissected, and HF geometries were mapped in detail by laser profilometry. The results showed that heterogeneity in the rock texture and its location had a primary effect on the fracture propagation. The direction of the maximum stress played, at best, a secondary role. The fracture dynamics determined with acoustic emissions indicated a relatively symmetric, pancake-like shape with high dimensionless viscosity and more asymmetry with low viscosity fluid. Visual inspection of the resulting fractures showed truncated elliptical shapes with both viscosities and with the higher viscosity having less containment. Acoustic emissions clearly indicated HF initiation, propagation, and interaction with the rock fabric, indicating arrest and spreading along pre-existing interfaces in cases of low dimensionless viscosity, and more uniform propagation in cases of high viscosity but with the rock fabric having a significantly reduced impact. The experiments demonstrated the likelihood of the substantial impediment to successful proppant delivery and hydrocarbon production in the field based on observed occurrences of HF arrest on pre- existing interfaces (indicating possible height containment) as well as the formation of branches and step- overs. Our results indicated that sufficient knowledge of the fabric, in conjunction with proper selection of injection fluid and rates, may provide additional height containment and hence enhance lateral fracture extension and improve the depletion of the pay zone. Ultimately, optimum production may more likely be achieved with collection of further rock samples, laboratory testing, and modeling of pre-existing interfaces to allow relative ranking of these barriers.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

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 studies0.0010.001
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 head0.018
GPT teacher head0.230
Teacher spread0.212 · 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 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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