INNOVATIVE METHODOLOGY FOR DETECTION OF FRACTURE-CONTROLLED SWEET SPOTS IN THE NORTHERN APPALACHIAN BASIN
Bibliographic record
Abstract
The primary goal was to enter Phase 2 by analyzing geophysical logs and sidewall cores from a verification well drilled into the Trenton/Black River section along lineaments. However, the well has not yet been drilled; Phase 2 has therefore not been accomplished. Secondary goals, not dependent upon well drilling, were completed. In the structure task, the objectives for this reporting period were to: (1) add additional sites along the west side of Cayuga Lake where we had critical gaps in our data set, and (2) complete analyses of structure data along the west side of Cayuga Lake. We have completed data input and analyses for this goal, and discuss the results. The additional data from the 2003 field season (and additional revised data from the previous season) demonstrate that zones of closely-spaced NNW- and N-striking fractures (FIDs) occur west of Cayuga Lake. EarthSat (1997) did not recognize NNW- or N-striking Landsat lineaments in this area. Packets of E-and ENE-striking EarthSat (1997) lineaments coincide with FIDs observed in outcrop, but the bedrock FIDs are significantly more numerous than the lineaments. West of Cayuga Lake, NE-striking EarthSat (1997) were not confirmed by FIDs. It appears that Landsat lineaments (EarthSat, 1997) indicate parts of the structural fabric, but the ground-truthing reveals added significant complexity. The E-striking lineaments and FIDs are related to Alleghanian folds and faults (e.g., Firtree Anticline), and the ENE-striking lineaments and FIDs are probably related to reactivated Trenton/Black River faults. ASTER images, with an order of magnitude higher resolution than Landsat, are presently being analyzed for lineaments. The lineament patterns are more complex than the Landsat lineaments, and include a number of trends not observed in the Landsat data (EarthSat, 1997). These trends include NS, NNW and NNE. These data continue to demonstrate that integration of aeromagnetic and remote sensing lineaments, surface structure, soil gas and seismic allows us to extrapolate Trenton-Black River trends away from confirmatory seismic lines.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".