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Record W2010700062 · doi:10.1190/1.2792883

A modeling study for imaging in structurally complex media: Case history

2007· article· en· W2010700062 on OpenAlexaff
Hesham Moubarak, John C. Bancroft, Don C. Lawton, Helen Isaac, Larry Mewhort, David Emery, Bart Scott

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsHusky Energy (Canada)University of Calgary
Fundersnot available
KeywordsPrestackSection (typography)GeologyInversion (geology)SeismologyEnergy (signal processing)Computer sciencePhysicsTectonics

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.051
GPT teacher head0.262
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2007
Admission routes1
Has abstractyes

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