Trenton-Black River hydrothermal dolomite reservoirs in Ontario : an assessment of remaining potential after 100 years of production
Bibliographic record
Abstract
More than 19.5 million barrels of oil and 35 billion cubic feet of natural gas have been produced from the Trenton-Black River hydrothermal dolomite reservoirs in Ontario since 1900. This presentation assessed the Ordovician recoverable oil and gas reserves in southwestern Ontario. It involved the use of a truncated discovery process model to evaluate the geological delineation and statistics of the mature play. It was revealed that the total Middle Ordovician recoverable gas and oil resource is about 281 bcf and 39.7 MMbbls respectively. Of this gas and oil volume, 85 per cent and 43 per cent respectively remains to be discovered, suggesting that there is still vast potential for undiscovered oil and gas volumes, especially in the area between the current exploration and development area and the eastern point of the Niagara escarpment. Oil and gas pools are trapped in Ordovician carbonates of the Trenton and Black River groups. The linear hydrothermal dolomite reservoir is up to 14 km long and 1200 km wide. The proven recoverable reserves in individual pools are estimated at 6 million bbl of oil and 13.6 bcf of natural gas. This presentation reviewed the history of the resource play, tectonic framework, regional stratigraphy, and resource assessment procedures. It also presents a geological play definition, compilation of play data, a discovery process mode, well and pool size distributions, and an estimate of play potential in these prolific oil and gas reservoirs. 51 refs., 11 tabs., 15 figs.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".