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Record W4255194349 · doi:10.2523/84033-ms

Experimental Investigation of Foamy Oil Flow Using a High Pressure Etched Glass Micromodel

2003· article· en· W4255194349 on OpenAlexaffabout
Bora Rupam, Chakma Amit, Brij Maini

Bibliographic record

VenueProceedings of SPE Annual Technical Conference and Exhibition · 2003
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMicromodelCitationExhibitionEngineeringPetroleum engineeringComputer scienceLibrary scienceArchaeologyGeographyGeotechnical engineeringPorosityPorous medium

Abstract

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Experimental Investigation of Foamy Oil Flow Using a High Pressure Etched Glass Micromodel Rupam Bora; Rupam Bora University of Calgary Search for other works by this author on: This Site Google Scholar Amit Chakma; Amit Chakma University of Calgary Search for other works by this author on: This Site Google Scholar Brij B. Maini Brij B. Maini University of Calgary Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, October 2003. Paper Number: SPE-84033-MS https://doi.org/10.2118/84033-MS Published: October 05 2003 Connected Content Related to: Investigating Foamy-Oil Flow With a High-Pressure Etched-Glass Micromodel Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Bora, Rupam, Chakma, Amit, and Brij B. Maini. "Experimental Investigation of Foamy Oil Flow Using a High Pressure Etched Glass Micromodel." Paper presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, October 2003. doi: https://doi.org/10.2118/84033-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Annual Technical Conference and Exhibition Search Advanced Search AbstractA series of flow visualization experiments were carried out using a high-pressure etched glass micromodel to gain insight into the pore level processes involved in foamy oil flow. The micromodel incorporated a realistic heterogeneous pore network with well-defined pore size distribution and pore throat size distribution. Solution gas drive experiments were conducted using a crude heavy-oil, a deasphalted fraction of the same crude oil, a synthetic mineral oil and a much lighter crude oil. The experimental results show that the rate of pressure drawdown was the most important parameter that altered the flow behaviour in the pore scale level and induced "foaminess" during the solution gas drive process. The dispersed gas flow occurred only in high rate tests and the dispersion was created by break-up of mobilized gas ganglia.Mathematical expressions for nucleation rate were derived for various oil samples. A metering section at the downstream end of the micromodel was used to measure the volume of fluids expelled from the pore network. These volume measurements were used to estimate the total compressibility of the reservoir fluids before the formation of visible bubbles. The compressibility numbers were used to infer the presence or absence of micro-bubbles that would be too small to be seen but could contribute significantly to oil recovery. The estimated compressibility values suggest thatt some microbubbles were perhaps evolved during the depletion process. However, it appears that most of these microbubbles remained attached to the pore walls; only a handful became detached and grew into larger bubbles.IntroductionFoamy oil flow is considered to be an important contributing mechanism in the better than expected performance of solution gas drives in many Canadian and Venezuelan heavy oil reservoirs. The foamy flow occurs when the solution gas released during the depletion is able to flow through the sand while remaining dispersed in the oil. In laboratory depletion tests, it occurs when a high enough rate of pressure decline is used. Several laboratory studies have reported a dramatic effect of depletion rate on the performance of solution gas drive in heavy oil systems (Handy, 1958; Sheng et al.,1999; Pooladi-Darvish and Firoozabadi, 1999; Bayon et al. 2002). The recovery factor are reported to be much higher when higher rates of pressure decline are used. Several theories have been postulated to explain this dependence of recovery factor on rate of pressure decline (Firoozabadi, 2001; Shen and Batycky, 1996; Maini 1999; Smith 1988). The most plausible explanation appears to be based on the formation and flow of a gas-in-liquid dispersion that is often referred to as "foamy oil" (Maini, 2001). The dispersed flow of gas delays the formation of a continuous gas phase that would normally be able to flow at a higher rate and will eventually result in rapid depletion of the reservoir energy. This ability of gas to flow while remaining dispersed in the oil appears to be the mechanism that keeps the gas mobility low during depletion.The factors responsible for creating dispersed flow of gas are not well understood. Several authors have suggested that such dispersions are formed by nucleation of a very large number of bubbles (Arora and Kovscek, 2001; Claridge and Prats, 1995, Smith 1988). The term "explosive nucleation" has been employed by some to dramatize the situation (Gelikman et al., 1995). What happens beyond the nucleation stage has not been fully delineated. It has been suggested that these bubbles remain smaller than the pore-throat size and are produced with the oil (Smith, 1988). An alternate explanation considers the foamy oil flow to be simply a case of two-phase flow at high capillary number where the viscous forces are high enough to mobilize isolated gas ganglia (Maini, 2001). Keywords: nucleation rate, nucleation, bubble nucleation, experiment, reservoir surveillance, depletion, compressibility, solution gas drive, oil sample, production control Subjects: Well & Reservoir Surveillance and Monitoring, Reservoir Fluid Dynamics, Improved and Enhanced Recovery, Flow in porous media This content is only available via PDF. 2003. Society of Petroleum Engineers 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 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 score0.039
Threshold uncertainty score0.725

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 communication0.0000.001
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 head0.018
GPT teacher head0.238
Teacher spread0.220 · 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".

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Citations0
Published2003
Admission routes2
Has abstractyes

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