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Record W1991979627 · doi:10.2118/2007-120-ea

Experimental Study of Extent and Rate of Gravity Drainage of Oil From Matrix into Fractures in Presence of Miscible and Immiscible CO2

2007· article· en· W1991979627 on OpenAlexaff
K. Asghari, Farshid Torabi

Bibliographic record

VenueCanadian International Petroleum Conference · 2007
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsCitationDrainagePetroleum engineeringMatrix (chemical analysis)GeologyEngineeringLibrary scienceComputer scienceMaterials scienceBiologyComposite material

Abstract

fetched live from OpenAlex

Abstract Gravity drainage is the dominant production mechanism in fractured reservoirs, where injection of hydrocarbon gases is believed to improve oil recovery. This paper presents the results of an experimental study of the effect of injecting CO2 into fractured media and its influence on the performance of gravity drainage and ultimate oil production. Both miscible (i.e. high pressure) and immiscible (i.e. low pressure) schemes for CO2 are investigated in this study. The results obtained from these experiments are used to compare the effect of miscible versus immiscible gases, i.e. CO2, on gravity drainage. For these experiments a special stain steel holder was designed allowing an open space around a core of 30 cm long and 5 cm in diameter, simulating a matrix with surrounding fractures. Carbon dioxide and normal decane were used as solvent and oil, respectively. While all experiments were conducted at constant temperature of 35 °C, six series of experiments were carried out at 250, 500, 750, 1000, 1250, and 1500 psi. A high pressure calibrated glass-gauge was connected to the bottom of the fractured media model allowing the produced oil be collected and measured continuously under the pressure and temperature conditions of the experiments. Analyzing the results show that injecting CO2 at higher pressures improves the recovery factor of gravity drainage mechanism in fractured media, significantly. Introduction CO2 flooding has been considered an inefficient process for enhancing oil recovery from naturally fractured reservoir. This is mainly due early gas breakthrough through fractures and very low oil recovery. However, miscible CO2 injection can be used to improve oil recovery in such reservoirs. In fractured reservoirs, the main production mechanism is gravity drainage. The performance of this process in naturally fractured reservoirs is a function of a series of parameters such as fracture-matrix geometry, size, matrix-fracture flow interaction, and so on (1). In the case of application of miscible CO2 both viscosity and density of oil and injected CO2 play important roles. At highpressure conditions, the density of liquid CO2 is about the same and sometimes larger than the oil in-place (2). Therefore, since fractures are filled with dense CO2 during miscible CO2 injection, oil recovery may be reduced due to the presence of denser solvent around the matrix. However, significant reduction in interfacial tension and capillary pressure would lead to a better ultimate oil recovery (3). Several studies show that viscosity ratio, density differences, matrix permeability, and production rate have significant impact on oil recovery by miscible CO2 in fractured environments (4,5). Firoozabadi and Markeset used nC14 and nC10 to study miscible displacement in a fractured medium (6). Both of these solvents were liquid at room conditions, which leads to first contact miscible conditions between the solvent and oil in the matrix. In another study Jamshidnezhad et. al showed that displacement rate has a great impact on oil recovery from fractured reservoir under miscible conditions (7). It is clear that in a miscible displacement process in fractured reservoirs, oil is swept completely from fractures during the early stages of production.

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 score0.137
Threshold uncertainty score0.837

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 head0.009
GPT teacher head0.267
Teacher spread0.259 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

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