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Record W2051183262 · doi:10.2118/07-04-01

Role of Asphaltenes in Foamy Oil Flow

2007· article· en· W2051183262 on OpenAlexaff
I. Adil, Brij Maini

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2007
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAsphaltenePetroleum engineeringViscosityTolueneCrude oilLight crude oilFlow (mathematics)Fossil fuelChemistryChemical engineeringMaterials scienceGeologyOrganic chemistryEngineeringComposite materialMechanics

Abstract

fetched live from OpenAlex

Abstract It has been suggested in several studies that there may be a link between the presence of high asphaltenes content and the foam-ability of oil. However, a systematic examination of the impact of asphaltenes on the performance of solution gas drive, in connection with foamy oil flow, has not been reported. This paper presents an experimental study that addresses this issue. The objective of this work was to examine whether or not the presence of asphaltenes has a strong influence on the performance of foamy solution gas drive. To this end, parallel solution gas drive experiments were conducted using a heavy crude oil from the Lloydminster area and a deasphalted version of the same oil. To eliminate the influence of oil viscosity, the viscosity of the crude oil was reduced to the same level as that of the deasphalted oil by diluting it with a 50–50 mixture of heptanes and toluene. The experiments were carried out in a visual sandpack that permits observation of bubble formation in the sand. The results show that the presence of asphaltenes significantly promotes foamy oil flow. Introduction Noticeable progress in understanding the high efficiency of solution gas drive in heavy oil reservoirs has been made in recent years. However, basic mechanisms and reservoir engineering parameters are still being evaluated(1). Some authors attribute the high efficiency of solution gas drive in heavy oil reservoirs to foam, and the term foamy oil is used to describe the process. The question of how the foam forms and how it helps in improving the production performance remains to be fully answered. In order to explain this high primary production, two main mechanisms have been proposed(1, 2). The first is the increase of the drainage radius of the well by the formation of high permeability channels, called wormholes(3). The second mechanism is the low gas mobility in heavy oil leading to gas retention that helps in maintaining high pressures in the reservoirs. Low gas mobility is explained by the high oil viscosity and its foamy nature. Smith(4) was the first to propose a model in which the gas flow was in the form of micro bubbles dispersed in the oil phase. Subsequently, Maini et al.(5) experimentally observed this dispersed gas phase and called it Foamy Oil. This leads to the discussion of how the foam is formed and its nature, stability and movement in the formation rock. Although the foamy oil flow occurs in all viscous oil systems, irrespective of whether or not the oil contains asphaltenes, it has been suggested that asphaltenes enhance foaminess. Claridge and Prats(6) proposed that bubble stability is related to the asphaltenes adsorption at the gas-oil interface, which protects bubbles against coalescence. However, experimental results on the effect of asphaltenes are conflicting. In micromodel experiments, Bora et al.(7) observed that asphaltenes lower coalescence rates. Tang and Firoozabadi(8) did not observe any differences in comparing crude oil and silicon oil with similar viscosity. Other authors have suggested that foaming and surface properties of crude oils change with the asphaltenes concentration(9–12).

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.003
GPT teacher head0.192
Teacher spread0.188 · 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

Citations17
Published2007
Admission routes1
Has abstractyes

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