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Record W4410400731 · doi:10.2118/226219-pa

Development and Application of a Method for Evaluating Hydrogen Permeability and Porosity of Salt Rocks

2025· article· en· W4410400731 on OpenAlexaffabout
Adel Najafi‐Marghmaleki, Lin Yuan, Hassan Dehghanpour

Bibliographic record

VenueSPE Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPorosityPermeability (electromagnetism)Salt (chemistry)GeologyPetroleum engineeringMaterials scienceGeotechnical engineeringChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Summary The pressure pulse decay (PPD) method is widely used for measuring permeability in tight porous media. However, it can overestimate the permeability of salt rocks to hydrogen due to gas leakage at the rock-sleeve interface, caused by hydrogen’s high diffusivity. In addition to this, the method is time-consuming, particularly for tight materials such as salt rocks, and the error in permeability measurements can be as high as 60%, making it less reliable for accurate assessments. We present a modified experimental setup and analytical approach for fast and more accurate determination of permeability and porosity of salt rocks with hydrogen. Our results demonstrate that this modified experimental configuration significantly improves the accuracy by at least 10 times and reduces the duration of experiments 4 times for measuring permeability and porosity compared with the conventional PPD method. We validated our experimental and analytical methodology through permeability and porosity measurements on salt rock samples sourced from the Lotsberg Formation (LSF) in Fort Saskatchewan, Alberta, Canada.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.171

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.019
GPT teacher head0.316
Teacher spread0.298 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2025
Admission routes2
Has abstractyes

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