Crosswell seismic tomography without ray tracing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A tomographic inversion algorithm is applied to invert three crosswell seismic surveys acquired in the Glenn Pool field, Oklahoma. Instead of calculating the raypaths and traveltimes explicitly by standard ray tracing, this algorithm uses a finite-difference eikonal equation solver and minimises the traveltime differences between the observed and calculated P-wave traveltimes in a least square sense. The model is updated by an SIRT-like algorithm. A dynamic a-trimmed mean filter is applied to the cost-function gradient after each iteration. Three constructed velocity tomograms showed good correlation with each other as well as with the sonic logs. However, certain anisotropy artefacts due to the interpreted shale layers were also identified from the residual traveltime maps. This study demonstrated the great potential of crosswell seismic imaging in reservoir development.
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.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 it