Kinematic and Petroleum Modeling of the Alberta Foothills and Adjacent Forelant - West of Calgary
Bibliographic record
Abstract
This paper summarizes the main results of an integrated study using surface and subsurface geological data and IFP's basin modeling tools along a regional transect crossing the Alberta foothills and adjacent foreland between Banff and Calgary. Cretaceous subsidence history in the foreland and subsequent erosional profiles in both the autochthon and the allochthon were computed using 1D Genex-Gentec modeling on both real and fictive wells, calibrated by means of maturity ranks of the organic matter. Subsequently, 2D forward kinematic and thermal Thrustpack modeling was used to reconstruct: - intermediate geometries of the foothills from its initial, preorogenic architecture (Mid-Cretaceous), until Present, taking into account incremental Late Cretaceous-Paleocene deformation and thrusting, as well as subsequent uplift and erosion; - and maturity windows of potential Paleozoic and Mesozoic source rocks assuming purely conductive heat transfers. Geometric results of the Thrustpack forward modeling were ultimately used as intermediate boundary conditions for a regional 2D fluid flow modeling using the Ceres software. Ceres was also used to derive instant pore fluid pressures in potential reservoirs, and to compute the hydrocarbon migration and charge of frontal anticline and buried duplex structures. Results of the study help to better understand the timing of two petroleum systems accounting for the oil and gas charge of Cretaceous sandstone reservoirs and Devonian-Mississippian carbonate reservoirs from foothills prospects, from either Mesozoic, dominantly Cretaceous, or Devonian-Mississippian source rocks, respectively.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".