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Record W4408266525 · doi:10.2118/223995-ms

Numerical Simulation of Huff-And-Puff Gas Injection in Shale Reservoirs Using an Integrated Model of Geomechanics and Multiporosity Fluid Flow

2025· article· en· W4408266525 on OpenAlexaff
A. Fragoso, B. A. Lopez-Jimenez, Roberto Aguilera

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGeomechanicsPetroleum engineeringOil shaleGeologyFluid dynamicsShale gasFlow (mathematics)Reservoir simulationSteam injectionGeotechnical engineeringMechanicsPhysics

Abstract

fetched live from OpenAlex

Abstract Improving oil recovery is one of the main challenges of shale play exploitation, and huff-and-puff gas injection has established itself as one of the most important techniques for the industry and academia. Therefore, understanding the physics of huff-and-puff gas injection in shale reservoirs is significantly of interest. However, the multiporosity, multitransport mechanism and stress-dependent nature of shale reservoirs make this a very complex task. This paper aims at investigating huff-and-puff gas injection, considering multiple storage and transport mechanisms present in shale reservoirs as well as the effect of rock deformation on them. This is attained by using a new in-house 3D integrated numerical simulator of fluid flow and geomechanics. The simulator incorporates a quintuple porosity formulation (and gas dissolved in the solid kerogen), several transport mechanisms (Darcy flow, slip flow and Knudsen diffusion), and the effect of rock deformation on these storage systems and transport phenomena through an iterative coupling with the rock mechanics model. The model accounts for hysteresis in rock properties during the huff-and-puff cycles. Constitutive laws for isotropic and vertical transverse isotropic (VTI) materials are implemented and simulations of primary recovery and huff-and-puff scenarios are carried out for both rock behaviors. Simulation results illustrate the effect of the huff-and-puff cycles on the stresses in hydraulic fractures, natural fractures and the shale matrix. The behavior of adsorbed porosity, organic porosity and sorption-dependent permeability is shown and analyzed. The changes in hydraulic fracture permeability due to variation in stresses are presented along with the effect of hysteresis, revealing multiple rebound curves generated during the huff-and-puff cycles. Comparison of results between the isotropic and VTI models displays moderately different results for the cases analyzed in this work. Simulation results also corroborate the importance of good hydraulic fracture properties and adequate gas injection rates in the performance of huff-and-puff injection projects in shale reservoirs. Simulation of huff-and-puff gas injection in shale reservoirs using a 3D integrated model that incorporates a quintuple porosity formulation, multiple transport mechanisms and rock mechanics (including hysteresis effects) has not been published in the literature. This is a step forward in the modeling and understanding of huff-and-puff injection processes in shale reservoirs.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.025
GPT teacher head0.263
Teacher spread0.238 · 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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