A Comprehensive Model for Life Cycle Assessment of Blue Hydrogen Production and Optimization Along with CO2 Enhanced Oil Recovery - Reservoirs in Alberta
Bibliographic record
Abstract
Abstract This study considers the generation of hydrogen by the conventional method of steam methane reforming using natural gas as feed. Natural gas extraction and transportation have been incorporated within the system boundaries of LCA. A base case has been assumed to account for the emissions related to the construction of necessary facilities. Calculations have been performed to determine the CO2 retention percentage based on the HCPV% of CO2 injected into the reservoir. Reservoir field segregation for CO2 sequestration and EOR have been carried out in three levels; initially with respect to location, then based on recovery potential (reserve in place), and finally narrowed down based on petrophysical parameters required for an economic EOR using CO2. The model is designed to perform sensitivity analysis for four major scenarios occurring during the process. This includes the location of the natural gas feed source, point of carbon capture, mode of CO2 transportation, and CO2 sink for sequestration and EOR.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".