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Record W4239042783 · doi:10.2523/80139-ms

Modeling Sand Production and Erosion Growth under Combined Axial and Radial Flow

2002· article· en· W4239042783 on OpenAlexaffabout
Richard Wan, Wang Jin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsUniversity of Calgary
FundersU.S. Department of Energy
KeywordsCitationErosionOperations researchLibrary scienceComputer scienceEngineeringArchaeologyGeologyGeographyGeomorphology

Abstract

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Modeling Sand Production and Erosion Growth under Combined Axial and Radial Flow Richard G. Wan; Richard G. Wan University of Calgary Search for other works by this author on: This Site Google Scholar Jin Wang Jin Wang University of Calgary Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference, Calgary, Alberta, Canada, November 2002. Paper Number: SPE-80139-MS https://doi.org/10.2118/80139-MS Published: November 04 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Wan, Richard G., and Jin Wang. "Modeling Sand Production and Erosion Growth under Combined Axial and Radial Flow." Paper presented at the SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference, Calgary, Alberta, Canada, November 2002. doi: https://doi.org/10.2118/80139-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Thermal Operations and Heavy Oil Symposium Search Advanced Search AbstractThe paper investigates the phenomenon of sand production in both axial and radial flow conditions using a coupled particle erosion-fluid transport-stress model that has been developed recently by the authors. We first examine sand production and wormhole growth in a sand pack as heavy oil is being drawn from it through a small orifice. Numerical results are in close agreement with experimental data available for the sand pack experiment. In particular, the computed porosity field and its temporal evolution during wormhole propagation match very well with available CT scan images of the sand pack. Then, we model a sand production hollow cylinder test in which sand is being produced under combined axial and radial flow of light oil in a sandstone specimen. Aspects such as sand flux and porosity evolutions, as well as erosion growth around the inner wall of the cylinder are investigated using the numerical model.IntroductionSand is produced in a porous granular material whenever sand particles are being dislodged from the matrix as a result of very high fluid pressure gradients, and thus leaving behind mechanically damaged zones. From a broader perspective, this phenomenon can be viewed as a particle fluidization and erosion process by which a sand matrix is disaggregated due to a combination of stress changes and fluid flow when fluid is aggressively pumped from a porous medium. By virtue of the complexity of the physics of the problem, several challenges are encountered in any numerical modelling endeavour.Various researchers have attempted to model the above-mentioned physical phenomenon using numerical techniques based on the discrete element method, Jensen et al.1. However, a continuum mechanics approach can also be adopted in which mass balance is applied to a three-phase system comprised of solid, fluid and fluidized solid, see Vardoulakis et al. 2. This approach was subsequently extended by Wan &Wang3,4 in order to include the deformation of the solid matrix and address general boundary value problems. As such, a standard finite element technique combined with Newton-Raphson method was used with some success for the solution of resulting non-linear equations which involve fluidized solid concentration, fluid pressure and porosity as main variables. It was found that numerical results were corrupted with instabilities in the form of node-to-node oscillations or wiggles whenever the solved field variables suffered tremendous distortions with high gradients during sand production. In view of addressing the above-mentioned numerical difficulty, Wan &Wang5 have recently introduced new numerical techniques which are akin to stabilization methods known as Streamline Upwind/Petrov-Galerkin (SUPG) and Galerkin Least Squares (GLS) formulations, see Brooks &Hughes6, and Hughes et al. 7. In Wan &Wang5, local field variables such as density, flux, and stress found in the governing equations are expanded into a Taylor series for a finite size domain. An optimized local mean technique was introduced based on concepts of Finite Increment Calculus8 and 2nd gradient theories9. As such, the original form of the governing equations describing the physics of problem is preserved, while additional terms leading to numerical stabilization naturally emerge during the numerical process. Thus, a fundamental explanation of the ad-hoc terms (numerical diffusion) used in traditional stabilized numerical methods can be given. Numerical solutions pertaining to sand production that are free of oscillations are eventually obtained; see Wan &Wang10.The ModelThe theoretical background relating to the numerical model used in this paper has been extensively covered in a number of publications such as in Wan &Wang3,4,5,10. In order to aid the reader, the essential features of the model are recalled. Keywords: concentration, flow in porous media, inner hole, experiment, engineering, gradient, sand production rate, evolution, porosity, fluid dynamics Subjects: Reservoir Fluid Dynamics, Flow in porous media This content is only available via PDF. 2002. SPE/PS-CIM/CHOA You can access this article if you purchase or spend a download.

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 score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.025
GPT teacher head0.188
Teacher spread0.163 · 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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Citations1
Published2002
Admission routes2
Has abstractyes

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