Seismic reprocessing contributes to development success at the Elang Field, Northern Bonaparte Basin
Bibliographic record
Abstract
The 3D data set over the Elang Field, Northern Bonaparte Basin, was reprocessed to provide greater confidence in mapping the structural configuration of the field and to investigate infield development opportunities. The original (1994) data set, which was acquired and processed in the inline (strike) direction, suffered from poor resolution and reflection coherency and multiple contamination at the reservoir level.The reprocessing strategy included rebinning and HVA analysis in the dip direction followed by radon demultiple applied close to the HVA velocities. The result was a significant improvement in resolution of reservoir horizons and faults. Interpretation of the reprocessed data yielded a simpler structural picture of the Elang Field with the crestal area interpreted as a simple rollover with little or no erosion of the reservoir section. The interpretation also confirmed significant attic oil potential in vicinity of Elang-1. This potential was tested in January 2000 by Elang-1/STl which intersected the reservoir 28 m up dip of Elang-1 and close to the prognosed depth. Production from the well has exceeded pre-drill predictions and added substantial incremental reserves to the field. This has increased value to the project and extended the life of the Elang production facility.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".