Effect of Organic Facies and Maturation in Determining Free and Adsorbed Methane for Shale Gas Potential: Overview of the Mississippian Lacustrine Horton Group Sediments from New Brunswick and Nova Scotia, Eastern Canada
Bibliographic record
Abstract
The proposed regional resource assessment of the Mississippian Horton Group sediments (sandstones and shale) within basins of New Brunswick and Nova Scotia was based on unconventional petroleum system analysis and in conjunction with the regional geology, organic facies, geochemical fingerprinting, and heat flow histories related to major faults. The regional maturity and organic facies in relation to the mineralogy and geochemistry of the Mississippian Lacustrine/Terrestrial Horton Group sediments illustrated that they have a close relationship with the formation of microfracture patterns, the amount of the extractable liquid hydrocarbons, and eventual transformation of adsorbed and free gases within the shale network forming a major unconventional (complex hybrid shale gas and tight sands) and conventional resource plays. The preliminary petroleum system analysis of various physicochemical and geochemical parameters and the regional boundary between gas cell and oil cell zones of the Mississippian Horton Group lacustrine sediments (black and carbonates) from selected basins of New Brunswick and Nova Scotia, Eastern Canada have shown a close similarity with the Mississippian Barnett Shale of the Fort Worth Basin of Texas.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.000 | 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".