Deformation, Fluid Flow, and Reservoir Appraisal in Foreland Fold and Thrust Belts
Bibliographic record
Abstract
Abstract Several topics are covered including: *the use of hydrocarbon-bearing fluid inclusions and apatite fission tracks as paleothermometers for reconstructing P-T evolution of subthrust reservoirs *the use of hydrocarbon-bearing fluid inclusions and apatite fission tracks as paleothermometers for reconstructing P-T evolution of subthrust reservoirs *the coupling of kinematic and thermal modeling performed to trace the burial (P-T) evolution of potential source rocks and reservoirs in three cases studies in the southern Apennines, Colombia, and Pakistan *analytical results and integrated studies, which link deformation and fluid circulation in various fold and thrust belts, with the Sierra Madre in Mexico, the Central Brooks Range, the Arctic in Alaska, the Coastal belt in northern Spain, and the Ukraine featured. Links between deformation, fluid flow, diagenesis, and reservoir characteristics are discussed in depth and descriptions of petrographic techniques integrated with basin modeling are discussed in case studies for carbonate reservoirs in the Apennines, the Canadian Rockies, and the Polish Carpathians, and for sandstone reservoirs in Eastern Venezuela. Sixteen of the twenty-one chapters illustrate the influence of thrust-belt evolution on regional petroleum systems. The petroleum potential in the Tunisian Atlas and in Sicily, close to where the Hedberg Conference and post-conference field trip were held, is described. An older example is documented, for the Gaspé Appalachians, where multiphase Paleozoic deformation had a strong control on the burial history of potential source rocks, petroleum generation and migration, and oil charge of the traps. As the first in the brand-new Hedberg Series of publications, this volume is a comprehensive look at understanding petroleum systems in fold and thrust belts.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".