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Record W4402668536 · doi:10.2118/221005-ms

Measuring Hydrogen Permeability of Salt Rock for Applications in Energy Storage

2024· article· en· W4402668536 on OpenAlexaff
Lin Yuan, Adel Najafi‐Marghmaleki, Hassan Dehghanpour

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPermeability (electromagnetism)Energy storageSalt (chemistry)GeologyPetroleum engineeringEnvironmental scienceChemistryThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Abstract This study investigates the hydrogen permeability of salt-rock plugs from the Lotsberg Salt Formation and its caprock, the Ernestina Formation. We employed a newly-developed pressure pulse decay (PPD) system, which is modified and extended from the existing systems for shale-rock characterization. A series of experiments were conducted on each salt rock to measure hydrogen permeability across an average pressure range of 100 to 1000 psi. The results highlight the significant impact of the Klinkenberg effect, where hydrogen slippage leads to an overestimation of measured permeability values. After correcting for this effect, the absolute permeabilities to hydrogen were determined to be 0.313 nD and 4.32 nD for the salt rocks from Ernestina and Lotsberg formations respectively. The interface between the grains of the Lotsberg marlstone provides hydrogen flow pathways, thereby increasing its permeability. The sample from Ernestina caprock, primarily composed of 92% anhydrite with minor dolomite and halite, has fewer crystal boundaries and grain interfaces, resulting in lower permeability.

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
Bibliometrics0.0010.000
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 head0.030
GPT teacher head0.275
Teacher spread0.245 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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Same venueSPE Annual Technical Conference and ExhibitionSame topicCO2 Sequestration and Geologic InteractionsFrench-language works237,207