Coupled flexural-dynamic subsidence modeling approach for retro-foreland basins: Example from the Western Canada Sedimentary Basin
Bibliographic record
Abstract
Research Article| July 06, 2017 Coupled flexural-dynamic subsidence modeling approach for retro-foreland basins: Example from the Western Canada Sedimentary Basin Brandon C. Tufano; Brandon C. Tufano 1Department of Geological Sciences and Environmental Studies, Binghamton University, State University of New York, P.O. Box 6000, Binghamton, New York 13902, USA Search for other works by this author on: GSW Google Scholar Jeffrey T. Pietras Jeffrey T. Pietras † 1Department of Geological Sciences and Environmental Studies, Binghamton University, State University of New York, P.O. Box 6000, Binghamton, New York 13902, USA †jpietras@binghamton.edu Search for other works by this author on: GSW Google Scholar Author and Article Information Brandon C. Tufano 1Department of Geological Sciences and Environmental Studies, Binghamton University, State University of New York, P.O. Box 6000, Binghamton, New York 13902, USA Jeffrey T. Pietras † 1Department of Geological Sciences and Environmental Studies, Binghamton University, State University of New York, P.O. Box 6000, Binghamton, New York 13902, USA †jpietras@binghamton.edu Publisher: Geological Society of America Received: 02 Sep 2016 Revision Received: 13 Feb 2017 Accepted: 26 Apr 2017 First Online: 06 Jul 2017 Online Issn: 1943-2674 Print Issn: 0016-7606 © 2017 Geological Society of America GSA Bulletin (2017) 129 (11-12): 1622–1635. https://doi.org/10.1130/B31646.1 Article history Received: 02 Sep 2016 Revision Received: 13 Feb 2017 Accepted: 26 Apr 2017 First Online: 06 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Brandon C. Tufano, Jeffrey T. Pietras; Coupled flexural-dynamic subsidence modeling approach for retro-foreland basins: Example from the Western Canada Sedimentary Basin. GSA Bulletin 2017;; 129 (11-12): 1622–1635. doi: https://doi.org/10.1130/B31646.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGSA Bulletin Search Advanced Search Abstract This study presents a new analytical modeling approach to estimate the magnitudes of regional thrust load–controlled flexural subsidence and dynamic subsidence related to mantle flow within a retro-foreland basin, thereby providing a prediction of the present-day basin geometry. The Western Canada Sedimentary Basin, with a wealth of well data and previous studies, was used to constrain the approach. In contrast to previous studies, this model uses laterally variable lithospheric flexural rigidities. Constant flexural rigidity cannot produce acceptable matches to observed basin geometries, and it is geologically unreasonable in settings extending across several crustal terranes and thermal regimes.Dynamic subsidence estimates derived from this model agree with those based on mantle convection modeling of the subducting Farallon plate beneath North America. It is this dynamic component that led to regional accommodation more than 250 km beyond the thrust front in the Western Canada Sedimentary Basin, because the flexural component does not contribute to subsidence this far into the foreland. It follows then that initial subsidence in retro-foreland basins can be attributed to dynamic processes, and that the thrust load–related flexural component only contributes in areas within a few hundred kilometers of the thrust front, depending on the flexural rigidity of the lithosphere.The modeling approach developed here can be used in other retro-foreland basins to estimate overall basin geometries where minimal data are available. This has direct implications for predicting the regional distribution of facies in poorly constrained basins, since basin geometry is one of the fundamental controls. Additionally, regional subsidence models can be subtracted from the observed basin geometries in well-constrained basins to yield estimates of local accommodation. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".