Effect of H2 on Salt Caverns During Fast Cycling Injection-Production: Laboratory Characterization & Storage Integrity Workflow
Bibliographic record
Abstract
Abstract The expanding global population and clean energy demand suggests utilizing renewable energy from sources such as wind, solar, biomass, geothermal, hydro and biofuel. The intermittent nature of such sources has propelled a need for efficient storage. Hydrogen (H2), being a carbon-free energy carrier, emerged as a potential solution, but it will require large volume to be stored to meet the demand. Underground hydrogen storage (UHS) is preferred given its low cost, tightness, and safety. Although existing UHS facilities have safely operated for over 40 years, the expected demand growth will require frequent injection-withdrawal cycles. This review provides an examination of the processes involved during H2 cycling. Firstly, the different cyclic tests are classified based on loading path, frequency, type and environment conditions. Then the behavior of rock salt under cyclic loading is discussed. Detailed attention is given to the chemical interaction between H2 and salt, covering experimental research concerning UHS in salt caverns. The review ends by presenting a laboratory experimental workflow involving the coupled processes within UHS operations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".