Frequency-domain Acoustic Wave Modelling through TI Media in Western Canada -Implications for Anisotropic FWI
Bibliographic record
Abstract
Summary We apply the joint analyses of anisotropic traveltime tomography and finite-difference frequency-domain wave modelling to crosswell seismic data from Western Canada using a transversely isotropic model with a vertical symmetry axis. The geology of the survey region consists of late Jurassic/ early Cretaceous-aged, horizontally-layered sandstone and shale units. The objective of the survey was to quantify reservoir connectivity by characterizing the sandstone channels and impermeable shale barriers through expected contrasts in seismic velocity. Best-fitting models of vertical seismic velocity and Thomsen’s anisotropy parameters were obtained from anisotropic traveltime tomography, which were then used as the starting models for transversely isotropic wave modelling. Time-domain snapshots and shot gathers were compared to previously obtained results that used an isotropic modelling method with a stretched coordinate system to simulate elliptical isotropy. The results show that the elliptical assumption is an oversimplification for these data. When compared to handpicked arrivals, the transversely isotropic model better predicts the arrivals, which has important implications for seismic full waveform inversion. We propose that the transversely isotropic finite-difference frequency-domain forward modelling technique will produce successful inversion results, as it is more representative of the wave propagation physics and is more compatible with the starting models from anisotropic tomography.
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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".