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Record W4408423313 · doi:10.5194/egusphere-egu25-2750

Fluid segregation and retention in deep‑seated rocks near percolation thresholds

2025· preprint· en· W4408423313 on OpenAlexaff
Michihiko Nakamura, Wakana Fujita, Kentaro Uesugi, Philipp Eichheimer, Marcel Thielmann, Gregor Golabek

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsNuclear Waste Management Organization
Fundersnot available
KeywordsPercolation (cognitive psychology)GeologyPetrologyGeochemistryPsychologyNeuroscience

Abstract

fetched live from OpenAlex

Fluid segregation in deep-seated rocks has profound implications for their physical and chemical properties. Gravity drives the segregation of fluids interconnected through grain edges and corners, along with the compaction of the rock matrix, whereas isolated fluids are retained in the rocks. For wetting fluids, the critical volume fraction (i.e., percolation threshold) separating these two cases is principally determined by the balance and anisotropy of solid-fluid interfacial tensions (i.e., dihedral angle and faceting effect); however, the processes controlling the percolation threshold for non-wetting fluids are unclear, despite their critical importance, especially in the amount of pore fluids down-dragged in subducting slabs to the Earth’s interior. Hence, we implemented a combined approach involving high-pressure rock synthesis, high-resolution synchrotron radiation X-ray computed microtomography (CT) imaging, and numerical permeability computation to better understand how the permeability decreases and fluids are retained at low fluid fractions. We chose quartzite as a well-studied natural rock analog that is simplified but does not lose its essence as a silicate polycrystalline aggregate. A mixture of finely ground quartz and amorphous silica powders was sealed in Pt-lined Ni capsules with C-O-H fluid sources at different fractions and compositions and hot-pressed using a piston-cylinder apparatus. The dihedral angles of the experimental systems were 52° and 61–71° for the wetting and non-wetting systems, respectively.In the wetting system, fluid connectivity rapidly decreased to approximately zero when the total fluid fraction decreased to 3.0–3.7 vol. %, mainly due to the grain faceting effect, consistent with the results of the previous study. In the non-wetting systems bearing CO2-rich fluids, the cutoff of fluid tubules isolated 4.8–6.2 vol. % of the fluid. A streamline computation based on the X-ray CT images of the experimental products revealed that the fluid flow just above this threshold focused on a few channels, establishing efficient channelized fluid pathways. These retained fluid fractions are higher than those in the previous assessment based solely on the dihedral angle, that is, the pinch-off condition for ideal (isotropic and homogeneous) fluid geometry and the equilibrium fluid fraction that minimizes the total interfacial energy of the fluid-rock system. Hence, the amount of aqueous fluids dragged down to the Earth’s interior could be higher than previously estimated, although the specific volume fraction depends on the anisotropy and heterogeneity of the system of interest.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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