Natural Gas Liquids Extraction Rights in Alberta: An Evolving Landscape
Bibliographic record
Abstract
Alberta’s natural gas liquids (NGLs) industry commenced development in the 1960s and, with the support of the Alberta government, expanded rapidly in the subsequent decades. Over time each of the major natural gas transmission systems in Alberta developed its own protocol in respect of NGL extraction entitlement and procedures. In the case of the NOVA Gas Transmission Ltd. (NGTL) pipeline system, such a protocol was developed by way of convention, and has never been formalized in the NGTL tariff. On several occasions the Alberta Energy and Utilities Board (EUB), and its predecessors, examined the issue of NGL ownership and associated extraction, but significant issues remained. In 2007, the EUB undertook an inquiry regarding matters relating to NGL ownership and extraction from the common stream of natural gas that flows through EUB regulated transmission systems and facilities. The EUB’s decision in this respect was released in February 2009. This article provides background information on the NGL extraction industry, outlines the regulatory history relating to NGL ownership and extraction, reviews the decision released by the EUB following the inquiry, considers related jurisdictional questions raised while the inquiry was ongoing, and considers the future of NGL ownership and extraction rights within the province of Alberta.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".