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Record W4405527515 · doi:10.1016/j.geoen.2024.213630

Experimental and theoretical determination of relative permeability together with microscopic remaining oil distribution based on pore-throat structures

2024· article· en· W4405527515 on OpenAlexafffund
Zechuan Wang, Jianbo Chen, Lei Zhang, Kai Kang, Jiaxin Wang, Daoyong Yang, Lili Jiang

Bibliographic record

VenueGeoenergy Science and Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Regina
FundersMinistry of Science and Technology of the People's Republic of ChinaNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsThroatDistribution (mathematics)Permeability (electromagnetism)Relative permeabilityMaterials sciencePetroleum engineeringMineralogyChemistryGeologyMathematicsComposite materialMathematical analysisAnatomyPorosityMedicineMembrane

Abstract

fetched live from OpenAlex

In this work, experimental and theoretical techniques have been developed to examine the effects of pore-throat structure on the flow seepage behaviour and thus the oil-water relative permeability together with microscopic remaining oil distribution. Experimentally, high-pressure mercury injection (HPMI) tests have been performed to microscopically characterize the pore-throat structures in core samples under various conditions. By simulating microscopic seepage phenomenon in a flow model generated from scanning electron microscope (SEM) images, the traditional capillary bundle model is theoretically modified and generalized to incorporate the pore-throat structures together with microscopic remaining oil distribution by taking the crossflow and bypassing flow into account. Starting from the pore-scale to core-scale and then reservoir-scale, effects of pore-throat structures on the relative permeability curves and microscopic remaining oil distribution are then comprehensively examined and analyzed, while waterflooding efficiency as a function of relative permeability has been evaluated. With the newly defined cutoff throat radius, the pore-throat structure is found to impose a significant impact on exploitation efficiency in a given reservoir, depending on both relative permeability and remaining oil distribution. In an area with relatively high permeability, the crossflow and bypassing flow through large throats dictate the remaining oil saturation, most of which is mainly controlled by relatively medium throats, indicating that oil recovery can be preferably achieved by reducing the viscous force. For an area with relatively low permeability, its remaining oil is controlled by small throats due to the capillary force and viscous force. By selecting appropriate development strategies based on the microscopic remaining oil distributions, field practices show that the daily production of single wells can be increased by more than 60%, with a potential increase of more than 10% in the ultimate oil recovery. • Traditional capillary bundle model is improved by considering micro crossflow, bypassing flow and pore-throat structures. • A theoretical model is generalized for relative permeability and microscopic remaining oil distribution conditioned to lab tests. • Effects of pore-throat structures on relative permeability and displacement efficiency are examined. • Cutoff throat radius is introduced to connect microscopic remaining oil distribution and pore-throat structures. • Microscopic remaining oil distribution in different reservoirs and their production-boosting measures are differentiated.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.216
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2024
Admission routes2
Has abstractyes

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