Natural Gas Potential in the Saint Lawrence Lowlands of Quebec: A Case Study
Bibliographic record
Abstract
Abstract Since the announcement made in April 2008 concerning the shale gas potential of the Southern Quebec Lowlands, almost 15 new wells have been drilled in the area. The calcareous and organic-rich Middle Ordovician Utica Shale is the main target of this recent exploration effort. Current knowledge of the area's geology have led operators subdivide the shale gas potential into different play types. To date, most operations have been performed in approximately 1/3 of the shale basin in the medium to deep thermogenic shale gas play (1,000-2,000 meters), located in the central part of the Saint Lawrence Lowlands. With OGIP estimates ranging from 120 to 160 Bcf per section, the deep play is considered to be promising. Current efforts focus on determining the highest gas prone unit within the Utica. The remaining 2/3 of the shale basin has not been largely tested yet, but the potential remains promising. Based on exploration work carried out over the past five years in Southern Quebec, four other play types have been described: 1) shallow to medium depth thermogenic shale gas; 2) overthrusted shale gas; 3) biogenic shale gas; 4) Intra-Appalachians sub-basin shale gas. They are less explored than the deep shale play, but also present interesting potential. This paper describes the above mentioned plays using basin geology, shale mineralogy, organic matter type, gas geochemistry, structural style and infrastructure access. The characteristics of the above plays are reviewed from geological, geochemical, structural and production perspectives. Results of evaluations using the concept of flow units, and volumes of original-gas-in-place calculated by various organizations are compared with a recent evaluation using the Petroleum Resources Management System (PRMS). It is concluded that there is promising hydrocarbon potential in the Saint Lawrence Lowlands of Quebec that continue to stimulate operators to pursue the exploration and development of these plays.
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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 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".