Pore Morphometrics and Thermal Evolution of Organic-Matter Microporosity, Colorado Group, Western Canada Foreland Basin
Bibliographic record
Abstract
Pores that develop within kerogen particles make a significant contribution to the network flow capacity and hydrocarbon storage of carbonaceous mudstone reservoirs. It has been suggested that development of Organic matter pores results from thermal degradation of kerogen. The range of thermal and subsidence histories of strata in the Western Canada Foreland Basin provide an excellent framework in which to evaluate the influence of thermal maturity on organic matter micropore morphometrics, and the opportunity to evaluate clay microfabric characteristics. Imaging and pore characterization of mudstone samples from the Upper Cretaceous (Cenomanian-Turonian) Colorado Group of the WCFB has been conducted using the focused ion beam/ scanning electron microscope system in the Western Nanofabrication Facility. Interparticle pores between grains and interparticle and intraparticle pores between /within clays contribute most of the porosity. Clay fabrics with abundant edge-to-edge and edge-to-face contacts are mostly observed in the forebulge and backbulge segments of the basin due to preservation from compactional reorientation. Intraclastic aggregates and organomineralic aggregates are recognizable across the basin. The shapes and spatial distribution of OM pores are highly heterogeneous, which is probably controlled by maceral type, possibly modified by surface interface chemical reactions with clay minerals. There is no correlation between the abundance of organic matter pores and thermal maturity. Organic matter pores in immature samples were probably produced during microbial degradation at relatively low temperatures. Additionally, widespread occurrence of intraclastic aggregates suggests prevalent conditions of seabed erosion and a relatively energetic depositional setting of the mudstones.
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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 | 0.001 |
| 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".