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Wettability Alteration of Basalt Induced by Carbon Mineralization Reactions

2025· article· en· W4411057170 on OpenAlexaff
Xiaomin Cao, Qi Li, Liang Xu, Yongsheng Tan

Bibliographic record

VenueEnergy & Fuels · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsGeomechanica (Canada)
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsBasaltMineralization (soil science)WettingGeochemistryCarbon fibersGeologyChemistryChemical engineeringMineralogyMaterials scienceSoil waterSoil scienceComposite material

Abstract

fetched live from OpenAlex

Carbon mineralization in basalt provides an effective approach to achieve rapid and permanent storage of anthropogenic CO 2 by converting it to stable carbonates. Wettability, a critical factor governing the migration behavior and trapping mechanisms of CO 2, would be impacted by dissolution and precipitation reactions of minerals. However, the evolution of basalt wettability during rock–fluid interaction process remains uncharacterized. In this work, CO 2 –basalt–fluid batch experiments were carried out. And the wettability alteration, surface geometry, and chemistry were characterized and comprehensively analyzed. The results showed the transition of basalt wettability from a weakly water-wet state to a strongly water-wet state as the reaction progressed. This transformation can be attributed to two factors. First, the increased surface roughness promoted a stronger water-wet rock surface, especially during the dissolution stage. Second, there was a decline in the abundance of hydrophobic minerals and an increase in those with hydrophilic properties as silicates dissolved and carbonates and clays precipitated, which further contributed to the hydrophilic wetting state during the dissolution–precipitation stage. This change in wettability leads to an increase in capillary entry pressure for CO 2, thus restricting its migration distance and reducing the potential for leakage. Moreover, this alteration promotes the effective trapping of CO 2 through structural and residual trapping, although additional research is required to fully understand its impact on mineral trapping.

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 categoriesInsufficient payload (model declined to judge)
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 score0.218
Threshold uncertainty score1.000

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)0.0010.000

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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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.

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

Citations9
Published2025
Admission routes1
Has abstractyes

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