Viscoelastic modeling with simultaneous microseismic sources
Bibliographic record
Abstract
Various seismic sources including pressure source, vertical source, radial source, transverse source and explosive source have been widely used in exploration seismology. Double couple (DC) source and sources defined by general moment tensor are commonly used for simulation of earthquake and microseismic waves. Processing of the recorded data helps reconstruct the subsurface image and locate the microseismic events for better understanding and interpreting the geologic structures and formations. Individual sources excited at different times will form simultaneous sources. Implementation of simultaneous sources provide flexibility in survey geometries and increase spatial sampling via increased source sampling and vector-offset sampling (Hampson, et al., 2008). In this abstract, we describe the physical mechanisms of several typical seismic and microseismic sources and their impact on the synthetic wavefield. Microseismic modeling in viscoelastic media is discussed by using simultaneous sources with different source characteristics. Through the back propagation of the recorded data, the location of microseismic events can be imaged without picking the events.
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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 | 0.000 | 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) | 0.001 | 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".