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Record W7058040912

Modeling of fluid injection-related processes in hydrocarbon reservoirs in Alberta, Canada

2022· article· en· W7058040912 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsInduced seismicityHydraulic fracturingPermeability (electromagnetism)Pore water pressureFluid dynamicsSedimentary rockFluid pressureGeomechanicsPetroleum reservoir
DOInot available

Abstract

fetched live from OpenAlex

In the last decade, with the development of horizontal drilling and multistage hydraulic fracturing technology, extraction of unconventional resources has significantly increased in western Canada. These industrial activities have been associated with the rise in the seismicity rate. This thesis aimed to improve the quality of the available geomechanical models of the injection-induced seismicity in the Western Canada Sedimentary Basin, by incorporating detailed geoscience characterization for two unconventional reservoirs of the Duvernay Formation in the Fox Creek area and the Cardium Formation in West Pembina. Hydraulic fracturing has induced seismicity in the first area, but no induced seismicity has been detected in the second. A 3D multi-layered geomechanical modeling coupled with fluid flow was applied in order to simulate fluid injection and obtaining the pore pressure and stress changes on the pre-exiting faults for both geological regions. Differences in geology including reservoir rock properties (i.e., elastic parameters and hydraulic properties), distance to the basement faults, presence of pre-exiting faults, stress field, and hydraulic properties of the underlying formations are shown to be primarily responsible for the differences in induced seismicity. In addition, a 2D one-layered geomechanical model coupled with fluid flow was constructed for analyzing the induced seismicity cluster that occurred in Dec 2014-Jan 2015 in the Fox Creek. To quantify the simulation results different scenarios for operational parameters, faults orientation, hydraulic properties of the reservoir and faults were investigated. The spatiotemporal distribution of pore pressure and Coulomb failure stress reveal that there is permeability heterogeneity in the reservoir in sections of pre-existing faults. Ultimately, the 2D geomechanical modeling approach was improved by defining the reservoir porosity and permeability as a function of pore pressure and stress field. The pressure-dependent model also suggests heterogeneity in reservoir permeability, as changes in seismicity rate is related to changes in porosity and permeability.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.037
GPT teacher head0.270
Teacher spread0.233 · 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
Published2022
Admission routes1
Has abstractyes

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