Rock-Eval/TOC analysis of selected core intervals from the Beaufort-Mackenzie Basin, northern Canada -- their source rock potential
Bibliographic record
Abstract
A total of 134 samples collected from the dark-colored intervals of cores taken from oil and gas exploration wells in the Beaufort-Mackenzie Basin were analyzed using Rock-Eval/TOC technique. The aim of the project was to determine the petroleum source rock potential of selected Tertiary, Cretaceous and Jurassic intervals based on their organic richness, type of organic matter and their thermal maturity. This Rock-Eval reconnaissance will provide guidance for further oil-source correlation studies to better understand the petroleum systems in the Beaufort-Mackenzie Basin. Well cores were selected based on core description by Dixon (2002) and visual observation of the cores. Care has been taken to avoid intervals with possible drilling mud contamination. Rock-Eval analytical results indicate that the Tertiary mudstone and coal measures contain immature to marginally mature Type III organic matter. TOC content of the Tertiary mudstone and shale sections can be as high as 5%. Its hydrocarbon potential is apparently lower than that of the Cretaceous and Jurassic rocks that appear to contain both Type III and Type II organic matter at similar or higher content. Thermal maturity of the Cretaceous and Jurassic potential source rocks ranges from marginally mature to over-mature, depending on their location in the basin. These results indicate that the Cretaceous and Jurassic source rocks have made significant contribution to oil and gas accumulations in the Beaufort-Mackenzie Basin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".