Using seismic data to delineate tectonic and depositional features within the Springer Formation, Blaine, Canadian and Caddo counties, Oklahoma
Bibliographic record
Abstract
The Springer interval in an area of the eastern Anadarko Basin was analyzed using a 3D seismic dataset. The purpose was to determine if 3D could effectively image the rock volume between well control points. Specifically the study was designed to test the ability of 3D seismic to delineate tectonic features such as faults and depositional features such as thick sandstone bodies that are potential gas reservoirs. Seismic was also utilized to improve the stratigraphic framework by utilizing extensive marine shale deposits and the truncation of the Springer section against the Pennsylvanian unconformity. Synthetic seismograms were created and found to be effective in correlating to several different stratigraphic units. Seismic data was able to effectively define structural attitude of beds, and was able to identify faults, internal stratigraphic thickness and channel-like features. RMS amplitudes were able to identify features seen on isochron maps and enhanced the view of the channel-like features. Channel-like features in the Chester Limestone to Morrow Base interval have a northwest to southeast trend, whereas in the Morrow Base to Novi Limestone interval, the channel-like features trend northeast to southwest. Channels were confirmed using seismic sections and well logs. Seismic sections show the apparent angular unconformity at the Morrow Base. Subsequent basinal subsidence may have affected the trends of Morrow channels.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".