Development Of British Columbia’s Natural Gas Resources Via Lng
Bibliographic record
Abstract
In Northeast British Columbia, new shale formations with up to 2,000 TCF of gas-in-place have been identified. This discovery has brought British Columbia’s total supply of natural gas to approximately 3,000 TCF. Although the government of British Columbia is interested in the development of these natural gas resources via LNG, the liquefaction phase of the LNG process has the capacity to consume a large amount of energy and produce a large amount of CO2e emissions. This report uses information attained from newspaper articles, academic journals and company websites to analyze the CO2 production rates of operational LNG facilities across the globe to determine whether a combined use hydroelectricity and modern aero derivative turbine technology would help to satisfy the GHG intensity limit of 0.16 t CO2e/ t LNG defined in British Columbia’s Greenhouse Gas Industrial and Control Act. This research also sought to determine the megatonnes per annum of LNG production that British Columbia’s hydroelectric grid and modern aero derivative turbine technology can support in the framework of the GHG intensity limit defined.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".