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Record W2332204626 · doi:10.1021/ef402003r

Optimum Timing for Miscible CO<sub>2</sub>-EOR after Waterflooding in a Tight Sandstone Formation

2013· article· en· W2332204626 on OpenAlexafffund
Zeya Li, Yongan Gu

Bibliographic record

VenueEnergy & Fuels · 2013
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsPetroleum Technology Research CentreUniversity of Regina
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBrinePetroleum engineeringLight crude oilEnhanced oil recoveryDissolutionMiscibilitySaturation (graph theory)Drop (telecommunication)Petroleum reservoirChemistryGeology

Abstract

fetched live from OpenAlex

In this paper, CO 2 dissolution into a light oil/reservoir brine and optimum timing for CO 2 enhanced oil recovery (CO 2 -EOR) after waterflooding in a tight sandstone formation are experimentally studied. First, the gas–oil ratio (GOR) of CO 2 -saturated light oil and the gas–water ratio (GWR) of CO 2 -saturated reservoir brine are measured by using a PVT system. The measured GOR is found to be approximately six times of the measured GWR at the same pressure and temperature. Second, the equilibrium interfacial tensions (IFTs) between the light oil/reservoir brine and CO 2 are measured at different equilibrium pressures and the actual reservoir temperature by applying the axisymmetric drop shape analysis (ADSA) technique for the pendant drop case. The measured equilibrium IFT between the light oil and CO 2 is about one-third to one tenth of that between the reservoir brine and CO 2 under the same test conditions. Third, the minimum miscibility pressure (MMP) between the light oil and CO 2 is determined to be 11.0 MPa from the measured equilibrium IFTs by using the vanishing interfacial tension (VIT) technique. Lastly, a total of five coreflood tests are performed to determine the optimum timing for miscible CO 2 -EOR after waterflooding. All five tests are conducted at the same production pressure of 12.0 MPa to ensure that CO 2 flooding is miscible. In comparison with CO 2 secondary flooding, CO 2 tertiary flooding has a much delayed CO 2 breakthrough (BT) because the initially injected water substantially reduces the mobility of the subsequently injected CO 2 . Accordingly, the oil recovery factor (RF) of CO 2 flooding in terms of the residual-oil-in-place (ROIP) is much higher. By comparing the total oil RF of waterflooding and CO 2 flooding in terms of the original-oil-in-place (OOIP), the oil RF of CO 2 flooding in terms of the ROIP, and the pore volume (PV) of CO 2 BT from the beginning of CO 2 flooding, it is found that the optimum timing for starting miscible CO 2 tertiary flooding is when waterflooding reaches half of its maximum secondary oil RF.

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 score0.077
Threshold uncertainty score0.804

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 head0.009
GPT teacher head0.213
Teacher spread0.205 · 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

Citations40
Published2013
Admission routes2
Has abstractyes

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