A modeling study for imaging in structurally complex media: Case history
Bibliographic record
Abstract
Two dimensional finite difference seismic modeling of a complex geologic structure on the Muskwa area (See figure 1) was used to aid in seismic interpretation and the optimization of future acquisition and processing parameters. The depth/velocity model was derived from a balanced geological section in North Eastern British Columbia foothill inferred from a 1998 2D-seismic line (See Figure 2) , acquired by Husky Energy Corporation, and 5 adjacent wells drilled from 1981 to 2003. The model contains a velocity inversion, rough topography and characteristic structures found in North Eastern British Columbia. Both acoustic and elastic finite difference modeling techniques were used to simulate waves propagating in the complex medium and the most difficult structural styles to image were investigated. Eight locations in the model (see Figure 3) were studied, using single event Prestack Kirchhoff migration for both first arrival and maximum energy event criteria. The synthetic shot gathers were prestack depth migrated to investigate which migration algorithms would produce the best images in such a complex environments. Long offsets gave a better migrated image when the complexities of the near surface geology were minimal. When the near surface geology becomes more complex, the value of the long offset information in enhancing the image was more limited. Additionally, fine source & geophone spacing gave a some what better image, but reasonable images could still be obtained providing the spatial sampling was adequate and the known velocity/depth model was used for the migration. The synthetic model contains three noteworthy geological features: a box-fold on the west separated from a fault propagation fold on the east by a central syncline. To test if expanding the aperture could aid in imaging steep dips in the presence of the inverted velocity profile, the model was expanded a few kilometers to the west (See Figure 2). Imaging the more complex geology in the central part of the model, has to date only been successful in imaging geological dips of less than 30°. The imaging potential of prestack depth Kirchhoff migration using maximum energy or maximum energy event criteria can be predicted. Inadequate aperture or spatial sampling will distort the point diffractors on a depth section. We will demonstrate the effectiveness of prestack depth Kirchhoff migration using first arrival and maximum energy traveltime in processing the Husky line.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".