Seismic lithology discrimination in complex fluvial stratigraphy: Tenerife 3D 3C Survey, Middle Magdalena Valley (Colombia).
Bibliographic record
Abstract
Middle Magdalena Basin is an active producing region in Colombia, that in last years has been chosen to be developed by water and steam flooding. However complex stratigraphy has prevented to have detailed reservoir static models. Tenerife 3D3C experiment was conducted in 2009 as a first integral (from acquisition design to interpretation) application of multicomponent technology to discriminate lithology (sand and clays) in a Colombian field. Acquisition design resulted in a 480.000 traces/Km2 density, 22.3 Km2 survey. Petrophysics showed that density is the best Vclay discriminant so the main objective was to obtain a good density estimation from surface seismic. Density from PP+PS joint inversion was more detailed and stable than density derived from PP simultaneous inversion and is currently guiding the location of new wells in the oilfield.
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 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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 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".