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Record W2484950897 · doi:10.2118/2002-257

A Study of Flow Tortuosity in Locked Oil Sand

2002· article· en· W2484950897 on OpenAlexaffabout
R.C.K. Wong, L. Ko, R. Movassagh

Bibliographic record

VenueCanadian International Petroleum Conference · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTortuosityPetroleum engineeringFlow (mathematics)GeologyGeotechnical engineeringMechanicsPorosityPhysics

Abstract

fetched live from OpenAlex

Abstract Tortuosity factor exerts a major influence in fluid flow in porous medium. However, this factor is very difficult to quantify from experimental measurements particularly in deformable medium. It is commonly treated as an empirical or curve-fitting parameter in determination of permeability. This study attempts to use electrical resistivity measurement method as an analytical tool to study how changes in grain fabric affect changes in tortuosity. The first phase of the study concentrates on development of a framework on the flow tortuosity behaviour observed in idealized granular assemblies of regular packings with uniform spheres subjected to various types of grain fabric alteration, such as matrix dilation and grain rearrangement (rolling and overriding). Then, the framework is extended to interpret data measured in real random systems of intact and sheared oil sand specimens. It was found that the locked structure in intact oil sand specimens produce relatively high tortuosity factors as compared to those in the idealized packings. Shear deformation disrupts this intrinsic structure reducing the tortuosity factor to about one-fifth of the initial value. This peculiar behaviour implies that the permeability of oil sand is very sensitive to shear deformation or grain fabric alteration. Introduction The Athabasca oil sand deposit in northern Alberta, Canada, contains 200 billion m3 of bitumen in place (ERCB 1991). Oil sand is a very dense granular material with interlocked fabric (Dusseault and Morgenstern 1979; Wong 1999). The main mineral composition is dominated by quartz. Its in situ porosity varies from 32 to 35% whereas its maximum porosity can be as high as 45 to 47%. Viscous bitumen filling the intergranular spaces does not affect the geotechnical properties of the material. Steam stimulation is one of the viable methods to extract bitumen from the oil sand ore. Large volume of steam of high pressures (up to 10 MPa) and elevated temperatures (up to 300 °C) are injected into oil sand reservoirs for extraction. Because oil sands are dense uncemented sands, the resulting deformation induced during the recovery processes could cause significant changes in its hydraulic properties. The understanding of its hydraulic properties due to shear deformation is important for design of the steam stimulation recovery processes. Wong et al. (1991) conducted pulse-decay tests to determine changes in absolute and effective permeabilities (to water) of oil sand under conventional triaxial compression. Touhidi-Baghini (1998) used the constant flow rate method to quantify changes in absolute permeability of locked sands specimens under triaxial compressions along various stress paths. They observed that volumetric dilation in triaxial compression could be as high as up to 10% and the permeability could be increased by 5–6 times even though localized multiple shear bands were developed in the specimens. In these conventional permeability tests, the measured hydraulic properties are average responses of the test specimens subject to test boundary conditions, and are significantly influenced by the formation of localized shear bands. They are no longer unique, and become dependent of specimen dimension and test conditions.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.997

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)0.0030.000

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 head0.021
GPT teacher head0.281
Teacher spread0.261 · 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.

Study designObservational
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

Citations2
Published2002
Admission routes2
Has abstractyes

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