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Record W4254628545 · doi:10.2118/2003-049

An Integrated Experimental Study of Foamy Oil Flow During Solution Gas Drive

2003· article· en· W4254628545 on OpenAlexaff
A.N. Ostos, Brij Maini

Bibliographic record

VenueCanadian International Petroleum Conference · 2003
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCitationLibrary scienceComputer sciencePetroleumOperations researchPetroleum engineeringEngineeringChemistry

Abstract

fetched live from OpenAlex

Abstract One of the important mechanisms in the primary production of heavy oil reservoirs under solution gas drive is the foamy oil flow effect. This form of flow occurs only under certain combinations of capillary, viscous and gravity forces. Several studies have been carried out to examine this effect on the recovery process, but it remains poorly understood and difficult to model. The objective of this study was to examine the roles of capillary, viscous, and gravity forces in foamy oil flow. Primary depletion experiments were conducted in a twometer long sand-pack holder to measure the oil and gas production at different depletion rates. The effect of gravitational forces was investigated by comparing the experiments conducted in horizontal and vertical orientations of the 2-meter long sand-pack. In the vertical orientation, the solution gas drive performance was evaluated with the production from the bottom end of the sand-pack, as well as with production from the top end. The experimental results are presented in terms of the oil and gas production behavior affected by the capillary number and gravity forces. The results indicate that the gravity forces do not significantly influence the ultimate oil recovery when the oil is produced under foamy oil flow. Even at the lowest depletion rate used in these tests, when oil flow and gravity act in the same direction, gas gravity segregation did not improve the oil recovery significantly. Recovery efficiency and the critical gas saturation at which free gas flow starts are primarily dependent on the capillary number. Introduction Some of the heavy oil reservoirs in the world show anomalous primary production under solution gas drive. Smith1 was one of the first researchers who presented a detailed analysis of such unusual production behavior. Since then, it has been the subject of many studies, due to its importance in making reliable projections of future production and optimization of field operations. These studies can be divided into three categories. The first category focuses mainly on the geomechanical aspects.2,3 It is believed that the production of sand with oil improves the inflow performance by the creation of wormholes (high permeability channels). Experimental and theoretical studies3,4 have shown that the high pressure gradients present during cold production can overcome the cohesive strength of the sand matrix and this leads to the creation of wormholes. However, the mechanics of wormhole network development are not yet clear. The second category focuses on multiphase flow behavior, and can be further divided into two subcategories. First are the conventional two-phase flow models5,6 which suggest that solution gas drive, whether in light oils or in heavy oils, is describable by the critical gas saturation and oil-gas relative permeability. In these, the high oil recovery is attributed mainly to low gas mobility. However, a good field performance match is not obtained by using low gas mobility; it also requires enhanced permeability far from the wellbore due to sand production7. The second subcategory of multiphase flowbased models is based on foamy oil flow.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
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)0.0010.000

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 head0.011
GPT teacher head0.234
Teacher spread0.223 · 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 designBench or experimental
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

Citations5
Published2003
Admission routes1
Has abstractyes

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