Crustal architecture, thermal evolution and energy resources of compressional basins (André Dumont medallist lecture 2013)
Bibliographic record
Abstract
Our understanding of sedimentary basins, orogens and links between deep and surface processes has greatly benefited from recent improvement of imagery techniques, including crustal scale reflection seismic and mantle tomography. ECORS profiles across the Pyrenees, the Alps and the Paris Basin for instance provide a unique control on the crustal architecture of both Cenozoic and Paleozoic orogens in western Europe. Alternatively, mantle tomography and deep focal mechanisms in the southeastern Carpathians and the western and central Mediterranean outline the progressive delamination at the Moho level of the continental lithosphere of Moesia and Adria, only its mantle part being actually recycled into the asthenosphere during the roll-back of the subduction associated with the southeastward shift of the Carpathians and Apenninic-Maghrebian arcs. This paper describes also, using various case studies from the Apennines, Albania and Venezuela, the integrated workflow developed at IFP-EN to reconstruct the kinematic and thermal evolution of fold-and-thrust belts (foothills) and adjacent forelands, and the way numerical modelling and analytical work can improve our predictions in terms of energy resources, hydrocarbon potential and reservoir risk assessment. Ultimately, key examples from the North American Cordillera, from the Arctic to the Gulf of Mexico, are used to document the controls of mantle dynamics on lithosphere thickness and thermicity, continental topography, post-orogenic unroofing and foreland unflexing, and the related changes observed in drainage areas and petroleum systems. Lateral changes observed in the lithosphere thickness between the Canadian Rockies and their foreland are also compared further with similar changes observed across the Tornquist-Teisseyre Line in the architecture, thermicity, rheology and deformation pattern of the European lithosphere.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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".