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Record W4243002003 · doi:10.2118/2002-227

Modelling of Sand Production and Wormhole Propagation in an Oil Saturated Sand Pack Using Stabilized Finite Element Methods

2002· article· en· W4243002003 on OpenAlexaff
Richard Wan, J. Wang

Bibliographic record

VenueCanadian International Petroleum Conference · 2002
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsUniversity of Calgary
FundersU.S. Department of Energy
KeywordsFinite element methodOil sandsWormholePetroleum engineeringProduction (economics)Oil productionGeologyMaterials scienceEngineeringComposite materialPhysicsStructural engineering

Abstract

fetched live from OpenAlex

Abstract Sand production is a prevalent problem in the oil and gas industry. As sand particles are being dislodged from a sand matrix and transported into the produced fluid, they form cavities or so-called wormholes in the formation. The paper presents a finite element simulation of an experiment that involves sand production and wormhole propagation in a sand pack as fluid is drawn from it through a small orifice. The computations are based on a recently developed sand erosion model that describes the disaggregation of sand particles as a function of sand matrix strength and fluid flux. The writing of both particle and fluid transport equations then completes the hydrodynamics of the problem. Special numerical techniques such as stabilized finite element methods are developed to solve the resulting non-linear governing equations that include coupled fields such as fluidized sand concentration, fluid pressure and porosity. 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. Introduction Cold production is an economical mainstream process for heavy oil recovery in which oil and sand particles are produced together from unconsolidated formation with an abnormal higher rate up to 20 times than that predicted by Darcy's law based on typical reservoir parameters. However, the majority of operators report very high sand cuts from 10% to 40%. As massive sand is being produced, a variety of problems arise, i.e., erosion and plugging of facilities, ground settlement, and sand disposal. Since this prevalent phenomenon is not well understood, sand production and control (management) has been a research topic for more than five decades. Extensive studies have shown that the cause of the abnormality is a combination of many factors - notably, stresses, fluid flow, thermal, solution gas drive and reservoir heterogeneity in porosity. Even though it is well known that large amounts of sand accumulate into the well bore, their origin is still unclear. Based on tracer and injectivity tests, a common belief is that high-permeability channels - so-called cavities or wormholes in the petroleum geomechanics jargon - are formed after a period of time. In order to visualize the production process at the laboratory scale, Tremblay et al (1996, 1997, 1999) preformed sand pack experiments to model the production of oil, gas and sand into a perforation in a vertical well. A high-porosity channel was observed with the aid of X-ray computed tomography techniques. It was found that, besides hydromechanical effects, the solution gas drive enhanced the propagation of the wormhole as gas bubbles expand under a pressure decline. This in turn unlocks the sand grain structure so that the porosity of the skeleton increases, which in turn leads to a drop in its mechanical strength. Hence, the wormhole propagates further in regions where strength weakening takes place.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.076
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.255
Teacher spread0.213 · 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 teacher head, 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

Citations3
Published2002
Admission routes1
Has abstractyes

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