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Record W4234609787 · doi:10.2118/2009-169

Effect of Connate-Water Saturation, Oil Viscosity, and Matrix Permeability on Rate of Gravity Drainage during Immiscible and Miscible Displacement Tests in Matrix-Fracture Experimental Model

2009· article· en· W4234609787 on OpenAlexaff
F. Torabi, K. Asghari

Bibliographic record

VenueCanadian International Petroleum Conference · 2009
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPetroleum engineeringCitationSaturation (graph theory)ViscosityPermeability (electromagnetism)GeologyGeotechnical engineeringMaterials scienceChemistryComputer scienceMathematicsComposite materialWorld Wide WebCombinatorics

Abstract

fetched live from OpenAlex

Abstract Miscible injection of carbon dioxide (CO2) has seen a significant increase in interest for the purpose of enhanced oil recovery in conventional oil reservoirs. However, naturally fractured reservoirs, which are among the largest oil reserves in the world, are considered poor candidates for this process due to presumed low performance efficiency. This paper presents the results of an experimental study on the effect of connate water saturation, matrix permeability, and oil viscosity on the performance of gravity drainage from matrix (into fracture) when it is surrounded by a CO2-filled fracture. Experiments were performed in an experimental model under different operating pressures to cover both immiscible and miscible conditions. Experiments were conducted using synthetic oil (nC10) and light crude oil in two Berea cores having large differences in permeability. In addition, the effect of connate water saturation was studied by performing experiments in an initially brine saturated Berea core and comparing the results with those obtained when the core was 100% saturated with oil. The experimental results showed that matrix permeability had a significant effect on the rate of gravity drainage when CO2 was injected under immiscible conditions. When experiments were performed at immiscible conditions, production rate by gravity drainage was nearly 5 times greater in the Berea core with 1000 md permeability compared to the core with permeability of 100 md. The ratio of production rate was not similar to the permeability ratio, indicating the important role of capillary pressure in the gravity drainage mechanism. However, ultimate oil recovery was less sensitive to the matrix permeability at pressures near or above minimum miscibility pressure. The observations were more interesting when experiments were performed in the presence of connate water saturation. The ultimate oil recovery from a core saturated with oil in the presence of connate water saturation was less at immiscible conditions. However, at near miscible and miscible conditions, the presence of connate water was beneficial to the gravity drainage mechanism in that it lead to higher ultimate oil recovery. This study also shows that miscible CO2 injection in fractured reservoirs is a viable option for both oil recovery and storage purposes. However, under immiscible conditions, when CO2 is injected at pressures below the minimum miscibility pressure (MMP) and above the supercritical condition, it is not beneficial for improving oil recovery via gravity drainage. This was clearly seen when gravity drainage experiments using crude oil were performed and MMP was not achieved at the maximum possible operating pressures. The results obtained from this study address the knowledge gap in the best practices for utilizing CO2 for improving oil recovery from fractured reservoir environments and demonstrate the effects of key parameters on the gravity drainage mechanism. Introduction Primary production of light crude oils by natural energy of the reservoirs may produce up to one third of the recoverable oil. Secondary oil recovery processes including gas and waterflooding methods may increase the oil recovery to two thirds of initial recoverable oil-in-place in non-fractured reservoirs if applied adequately.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.867

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 head0.005
GPT teacher head0.245
Teacher spread0.240 · 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 designSimulation or modeling
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

Citations6
Published2009
Admission routes1
Has abstractyes

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