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Evaluating Fluid/Rock Interactions for Energy Storage in Salt Caverns: Part I: Brine–Rock Salt Interactions

2024· article· en· W4403624082 on OpenAlexafffund
Adel Najafi‐Marghmaleki, Hassan Dehghanpour

Bibliographic record

VenueEnergy & Fuels · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of Alberta
FundersAlberta InnovatesNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsBrineSalt (chemistry)GeologyMineralogyPetroleum engineeringGeotechnical engineeringGeochemistryChemistry

Abstract

fetched live from OpenAlex

Understanding the interaction between brine and impure salt rock is essential for the long-term stability of salt caverns used in energy storage. This knowledge is crucial for optimizing the design and ensuring the structural integrity of storage systems in bedded salt formations. We conducted immersion and batch reaction experiments to investigate the effect of brine on the integrity of the impure salt rock. We evaluated the interaction between impure salt rock and brine with salinities of 0 ppm, 50,000 ppm, 150,000 ppm, and 250,000 ppm over a 30 day period and observed significant weakening and cracking of the samples. Based on acquired SEM images of identical spots before and after reactions with brine, we observed that the presence of brine creates oversized pores of up to 50 μm. The results suggest that the damage to impure salt rock is attributed to (1) the combined dissolution and detachment of embedded halite crystals and (2) the combined dissolution and detachment of calcite and dolomite grains.

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 score0.007
Threshold uncertainty score0.014

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 head0.041
GPT teacher head0.332
Teacher spread0.292 · 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

Citations13
Published2024
Admission routes2
Has abstractyes

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