Inversi Seismik Model Based (AI) untuk Karakterisasi Reservoar Sub-Formasi SAND4 Lapangan Penobscot, Kanada
Bibliographic record
Abstract
Prospek Lapangan Penobscot berlokasi di Sub-basin Sable di Utara Pulau Sable. Pada lapangan ini didukung oleh sumur L-30. Meskipun pada Lapangan Penobscot ini telah diketahui perkiraaan kedalaman lapisan sandstone pada Formasi Mississauga, data ini masih terlalu lemah untuk dijadikan acuan perkiraan persebaran lapisan reservoir sandstone yang ada. Maka dari itu perlu dilakukan seismik inversi (Model based) untuk menghasilkan volume acoustic impedance, volume porositas dan volume densitas sebagai landasan dalam mengambil tindakan terhadap reservoar. Zona target berada di Formasi Mississauga pada sub-formasi Sand4. Pada proses inversi acoustic impedance didapat nilai korelasi sebesar 0.951745 dan error 0.312563. Berdasarkan hasil inversi seismik menunjukkan zona sandstone memiliki nilai acoustic impedance rendah (7874 - 8923 (m/s)*(g/cc)) dan pada penampang volume porositas yang dihasilkan terlihat bahwa zona sandstone memiliki porositas relatif tinggi yaitu 22 – 26.3 %, serta pada penampang volume densitas menggambarkan zona sandstone memiliki densitas yang rendah berkisar 2.23 – 2.37 g/cc.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".