Inversion of Seismic Data for Elastic Parameters: A Tool for Gas-Hydrate Characterization
Bibliographic record
Abstract
This paper reviews various seismic inversion techniques (amplitude-versus-offset [AVO], acoustic and elastic impedance, prestack waveform inversion) for assessing elastic parameters of sediments and more specifically hydrate-bearing sediments. Several theoretical approaches are described, and examples of the application of the inversion schemes to assess gas-hydrate deposits in three different geologic environments are compared. The first example is from a permafrost-related gas-hydrate deposit at Mallik, the second example is from the Blake Ridge offshore Carolina (location of Ocean Drilling Program Leg 164), and the third example is from the Gulf of Mexico (Atwater Valley and Keathley Canyon). The techniques used in these areas are band-limited acoustic impedance inversion (Mallik), poststack elastic impedance inversion (Blake Ridge), and a hybrid inversion scheme, utilizing prestack waveform inversion with poststack AVO inversion (Gulf of Mexico).
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".