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Record W4408650924 · doi:10.1016/j.fuel.2025.135102

Core-scale modelling of cyclic creep deformation caused by cyclic CO2 injection and storage in unconventional reservoirs

2025· article· en· W4408650924 on OpenAlexafffundabout
Amirsaman Rezaeyan, Hamidreza Hamdi, Amin Ghanizadeh, Son Tran, Christopher R. Clarkson

Bibliographic record

VenueFuel · 2025
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaShell
KeywordsCreepMaterials scienceCore (optical fiber)Scale (ratio)Deformation (meteorology)MechanicsComposite materialPhysics

Abstract

fetched live from OpenAlex

• Cyclic creep deformation leads to lower CO 2 storage and oil recovery. • Cyclic creep deformation cumulatively reduces porosity and permeability in early cycles. • Rock matrix becomes more cohesive and resistant to creep deformation with increasing cycles. • Fractures enhance dissolved CO 2 phase and rock matrix (pore) free CO 2 phase. • Flow and transport gradually shift from diffusion to convection with successive cycles, lowering CO 2 -EOR. Cyclic CO 2 injection, followed by soaking and production—commonly referred to as “Huff-n-Puff” (HnP)—can be used to enhance oil recovery, while mitigating greenhouse gas emissions, from unconventional reservoirs. The cyclic loading and unloading stresses associated with HnP induces cyclic creep deformation in the reservoir. This study aims to investigate the impact of cyclic creep deformation on CO 2 storage and enhanced oil recovery (EOR) under varying geomechanical conditions. Intact and fractured core plugs from the Canadian Montney Formation were subjected to single-phase gas flow (gas permeability) measurements under multiple cycles of loading and unloading stresses, with rock and flow properties (e.g., permeability, porosity) determined for each cycle. The experimental data informed hydromechanical models incorporating various deformation scenarios (rigid, elastic, weakly elastic, and cyclic creep) and coupled with multiphase, multicomponent flow and transport models. Results reveal that cyclic creep deformation diminishes CO 2 -EOR potential by reducing permeability and porosity with each successive cycle, with fractures exhibiting greater reductions compared to the matrix. Accumulated creep deformation results in slower pressure buildup during CO 2 injection and a slower depletion rate during oil production. Consequently, CO 2 storage is reduced by 18% and 30%, and oil recovery decreases by 5% and 20% in the matrix (pore) and fracture domains, respectively, relative to models without creep deformation. Additionally, free and dissolved CO 2 storage volumes increase with each cycle, with fractures enabling significantly higher dissolved CO 2 storage (21%) compared to matrix-only storage (6%). A progressive reduction in diffusive CO 2 flow across cycles further highlights a transition from diffusion-dominated to convection-dominated flow due to increased effective stress. This study is the first to incorporate cyclic creep deformation into HnP models, demonstrating its critical role in influencing CO 2 storage capacity and EOR performance. Ignoring cyclic creep deformation effects can lead to overestimation of CO 2 storage capacity and oil recovery, emphasising the importance of accounting for these effects in the design of optimal HnP schemes for oil recovery and sustainable carbon management strategies.

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 score0.229
Threshold uncertainty score0.455

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
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 head0.022
GPT teacher head0.238
Teacher spread0.215 · 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".

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Citations2
Published2025
Admission routes3
Has abstractyes

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