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Record W4413765094 · doi:10.1016/j.petsci.2025.08.028

Real-time NMR experimental study of displacement–imbibition coupling in tight/shale oil reservoirs: Lithological variations, influencing factors, and key insights

2025· article· en· W4413765094 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePetroleum Science · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsUniversity of Calgary
FundersScience Foundation of China University of Petroleum, BeijingChina Scholarship CouncilChina University of Petroleum, BeijingNational Natural Science Foundation of ChinaUniversity of Calgary
KeywordsImbibitionOil shalePetroleum engineeringDisplacement (psychology)Key (lock)GeologyCoupling (piping)Shale gasPetrologyEngineeringComputer sciencePaleontologyMechanical engineeringPsychology

Abstract

fetched live from OpenAlex

Displacement–imbibition coupling production is a pivotal technology for enhancing oil recovery (EOR) in waterflooded tight/shale oil reservoirs. However, the microscopic fluid transport mechanisms across different pore scales remain inadequately understood. This study presents an innovative real-time nuclear magnetic resonance (NMR) experimental system integrated with MRI-based image processing to dynamically monitor oil–water distribution and quantify local oil saturation during injection–shut-in–production. This approach enables quantitative evaluation of pore utilization across different pore size ranges and reveals the impacts of various driving forces on oil displacement efficiency. The results show that displacement–imbibition coupling production employs multiple mechanisms to achieve balanced contributions from pores of all size scales. The displacement–imbibition oil production mainly consists of three stages: displacement-dominated injection, capillary-driven imbibition during shut-in, and displacement–imbibition coupling effects during production. Pressure oscillations significantly enhance matrix–fracture exchange by lowering pore-throat entry thresholds and redistributing pressure fields. Quantitative analysis shows that large pore dominate early displacement, while small pore contribute more during imbibition. Lithology and pore-throat connectivity critically influence displacement efficiency; vitric tuff outperforms argillaceous siltstone by up to 11.8%. Notably, greater fracture complexity increases the oil–water contact area, enhancing capillary imbibition, reducing reliance on displacement forces, and increasing the contribution of displacement–imbibition coupling effects to oil displacement efficiency by 15.35%. Artificially modifying the pressure field to induce pressure oscillations, effectively utilizing the high conductivity of fractures, and fully leveraging the displacement–imbibition coupling effects within matrix pores are crucial for achieving optimal EOR. Lastly, a new concept of nonlinear flow zoning is introduced to describe spatial variations in flow behavior under complex coupling conditions. These experimentally validated insights into matrix–fracture interactions provide theoretical support for designing improved waterflooding strategies and optimizing oil recovery in tight and shale reservoirs.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.324
Teacher spread0.312 · 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