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Record W1999115395 · doi:10.2118/2004-091

Dynamics of Spontaneous Counter-Current Imbibition for Different Matrix Shape Factors, Interfacial Tensions, Wettabilities and Oil Types

2004· article· en· W1999115395 on OpenAlexafffund
Can Hatiboglu, Tayfun Babadagli

Bibliographic record

VenueCanadian International Petroleum Conference · 2004
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsImbibitionDynamics (music)Matrix (chemical analysis)Current (fluid)MechanicsMaterials sciencePhysicsComposite materialThermodynamicsAcoustics

Abstract

fetched live from OpenAlex

Abstract Matrix-fracture interaction due to capillary forces (spontaneous imbibition) is a commonly encountered process in fractured subsurface reservoirs during oil, gas, and geothermal fluid recoveries and contaminant transport. It occurs in counter-current manner if the interaction between matrix and fracture takes place from the same side. In this study, the effects of the matrix shape factor, wettability, and interfacial tension on the rate of imbibition and development of residual non-wetting phase saturation were studied experimentally. To achieve this, experiments were conducted on Berea sandstone samples. Cylindrical samples with different shape factors were obtained by cutting the plugs _, 1 and 2 inch in diameter and 2, 4, and 6 inches in length. All sides were coated with epoxy except one end. Static imbibition experiments were conducted on vertically and laterally situated samples where the imbibition took place upward and lateral directions, respectively. Water-air, brine-kerosene, brine-mineral oil and surfactant solution-mineral oil pairs were used as fluids. The rate of imbibition was evaluated for different matrix size, shapefactor, wetting/non-wetting phase types and IFT. Conditions at which the shape factor controls the residual oil development were identified. Introduction Capillary imbibition can be an effective recovery mechanism if matrix is water wet and enough amount of water exists in fractures of naturally fractured reservoirs. Mechanism is counter-current, i.e., displacement of non-wetting phase by wetting phase takes place from the same side of the matrix, if the boundary conditions physically restricting the contact of wetting phase with matrix from the other sides exist. Despite the recognition of the process for quite a long time [1–5], yet many issues are unanswered in regards to the dynamics of the spontaneous counter-current interaction between matrix and fracture. Some of these issues include the effect of the matrix shape factor, wettability, and IFT (when surfactants are used as the wetting phase) on the rate of imbibition (progress of the front) and the development of residual oil saturation in both swept and unswept zones. Previous studies mostly dealt with counter-current imbibition in uncoated matrices (all surfaces open to flow). Ma et al. [6] conducted counter-current imbibition experiments both with all surfaces open and partially coated cores. They used coated cores ranging between 4 and 6 cm in length and a fixed 11/2 inch in diameter and were able to apply scaling equations first proposed by Mattax and Kyte [5]. Babadagli [2] used various configurations of matrix shape. He investigated co- and counter-current flow for surfactant and polymer solutions, and concluded that the modified form of Mattax and Kyte's scaling group is applicable for high-IFT cases. Bourbiaux and Kalaydjian [4] conducted counter-current imbibition experiments and estimated the relative permeabilities using numerical simulations. They observed that the relative permeabilities to the phases are smaller when compared to the ones for co-current flow. They stated that, although experimental and numerical results are consistent with the proposed theory, further investigation on counter-current interaction is needed. Schembre et al. [7] performed CT scanning experiments using Berea sandstone and diatomite.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.881

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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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

Citations13
Published2004
Admission routes2
Has abstractyes

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