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Record W3010924399 · doi:10.2118/200011-ms

Interbedded Carbonate and Calcareous Shales of the Devonian Duvernay Formation of Alberta, Canada: Implications for Completion Due to High Variability of Geomechanical Properties

2020· article· en· W3010924399 on OpenAlexaboutno aff
Raphael A.J. Wüst, Ali S. Ziarani, Albert Cui

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyOil shaleCarbonateStyloliteAnticlinePetrophysicsDevonianLithologyBeddingDrillingCarbonate rockDiagenesisBedPetrologySedimentary rockMineralogyGeochemistryGeotechnical engineeringStructural basinAnisotropyGeomorphologyPaleontologyPorosity

Abstract

fetched live from OpenAlex

Abstract The Devonian Duvernay Formation in Alberta is a carbonate-siliceous unconventional source rock that produces prolific oil, gas condensate liquids, and gas. In the southern part of the basin and the East Shale Basin, high frequency interbeds of limestone and organic-rich calcareous shales are common at spacing of inches to several feet. Prolific gas liquids are trapped within the shale/mudstone units while the highly cemented and tight carbonate units show a lack of hydrocarbons. Even though most wellbores completed to date have primarily landed in shale units, still, due to geo-steering and other considerations penetration through limestone unit along the lateral cannot be avoided. High contrast in mechanical properties of shale and limestone units along with anisotropy in geomechanical properties of the same rock unit makes optimal hydraulic fracturing breakthrough and placement often challenging. This study reviews examples of high resolution mechanical Duvernay stratigraphy combined with log and core analyses in order to better understand the implications of hydraulic fracture development through such complex reservoirs. Integrated petrophysical well log and core data indicate that there are strong heterogeneities on lithology, and geomechanical properties (hardness, brittleness, and elastic properties) on various scales. The shale units generally have lower Young's modulus and Poisson's ratio, whereas the carbonate units have high Young's modulus and Poisson's ratio. Core data also indicate strong vertical transverse isotropy in the shale units. Combined with occurrence of various types of naturally-occurred sub-vertical fractures and sub-horizontal polished slip faces, weak bedding plane strength, and strong anisotropy in in-situ stresses, and high heterogeneities in lithology and geomechanical properties likely result in complex and poorly constrained and un-optimized hydraulic fractures throughout the Duvernay Formation. The results indicate that high Young's modulus of carbonates causes a narrow fracture width which makes fracture initiation and placement and in particular proppant transport a challenge. Normal and strike slip faulting regimes are observed in some areas of East Basin. The lower anisotropy in horizontal stresses estimated for the shale zones than the carbonate zone may suggest that the complex fractures is more likely to occur in the shale zones than the carbonate zones. In Duvernay minifrac tests, longer fall off data collection (> 2 weeks) is critical for a successful determination of closure pressure and pore pressure estimation. During fracture stimulations, tight cluster spacing, i.e. ≤10m apart, might limit fracture geometry growth on the inner clusters due to higher induced stress. Similarly, due to higher stress shadow effects, tighter stage spacing might affect the fracture growth on the subsequent stages.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
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 head0.192
Teacher spread0.178 · 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".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractyes

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