Crustal and Petroleum Framework of the U.S. Chukchi Shelf as Interpreted from 9-km Long-Offset ArcticSPANTM 2-D Seismic Data*
Bibliographic record
Abstract
The U.S. Chukchi Shelf is a highly prospective petroleum province with estimated mean technically recoverable resources of more than 29 billion barrels of oil equivalent (MMS, 2006). Because of the remoteness of the area in the northwest Alaskan offshore and the cost of operations, the area has seen only one round of leasing and drilling which was almost 20 years ago. With high oil prices and new technology, industry has shown a renewed interest in the area. In response to this interest, ION Geophysical (GX Technology) acquired 3,132 km of 2-D long-offset seismic data in the area in late 2006. The program was designed to image down to the base of the crust with a 9 km-long cable, 18 second recording, and final depth processing (Prestack Depth Migration) to 40 km. The interpretation of these data has allowed us to regionally map the MOHO discontinuity and the top of the crystalline basement as well as to identify the major stratigraphic sequences which extend from the highly petroliferous North Slope of Alaska. We have also attempted to interpret the pre-Mississippian (prior to the opening of the Canada Basin) rifting and compressional history of the area based on these data. Interpretation highlights of the data set include: 1) The Chukchi Shelf is underlain by “normal ” continental crust (30-40 km thick) with some suggestion of an attenuated crust in the northern and north-western part of the area; 2) The North Chukchi Basin contains up to 12 km (40,000 ft) of apparent Cretaceous- and Tertiary-age sediments and should be considered quite prospective; 3) Part of the shelf is underlain by mildly deformed pre-Mississippian sediments and may be prospective for hydrocarbons; and 4) The interpretation of
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".