Potential field analysis of the East African Rift in eastern Tanzania – guiding seismic survey planning
Bibliographic record
Abstract
SummaryRecent oil discoveries in the Kenyan Lokichar Basin, along the eastern branch of the East African Rift system, have enhanced the oil and gas potential within the Tanzanian and Kenyan portions of the rift system. A combination of airborne gravity and magnetic surveying was completed over sections of the eastern branch of the East African Rift in eastern Tanzania to investigate the potential for thicker accumulations of Tertiary and Karoo sediments. The objective was to identify prospective basin areas warranting evaluation by seismic surveying. Interpretation and modelling of the regional aeromagnetic data identified major basement fault systems controlling basin formation and provided a qualitative assessment of depth to basement. Density contrasts typically expected for Precambrian basement and Karoo and Tertiary sedimentary sequences were used for forward modelling of the airborne gravity data. This showed the potential for up to 7 km thickness of basin sediments within the rift, and highlighted the possibility of Tertiary sediment within one of the identified sub-basins. Subsequent 2D seismic acquisition has refined the basin geometry, and identified an intra-basin structure of exploration interest.
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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 | 0.001 |
| 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) | 0.002 | 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".