SEG Technical Program Expanded Abstracts 2009 2009
DOI: 10.1190/1.3255639
|View full text |Cite
|
Sign up to set email alerts
|

Moveout analysis by time‐warping

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
7
0

Year Published

2010
2010
2019
2019

Publication Types

Select...
6
2

Relationship

3
5

Authors

Journals

citations
Cited by 19 publications
(7 citation statements)
references
References 20 publications
0
7
0
Order By: Relevance
“…Predicted TWTT curve is obtained using the fact that TWTTs with the same zero-offset TWTT belong to the same wavefront. The procedure of predicting TWTT curves from the predicted zero-offset TWTTs is known as time warping (Burnett and Fomel, 2009b). The standard error around the exact curve is less than 0.1% in this example.…”
Section: Application To a Synthetic Data Examplementioning
confidence: 98%
“…Predicted TWTT curve is obtained using the fact that TWTTs with the same zero-offset TWTT belong to the same wavefront. The procedure of predicting TWTT curves from the predicted zero-offset TWTTs is known as time warping (Burnett and Fomel, 2009b). The standard error around the exact curve is less than 0.1% in this example.…”
Section: Application To a Synthetic Data Examplementioning
confidence: 98%
“…In this case, multiparameter moveout semblance analysis, predictive painting (Fomel, 2010), and time warping (Burnett and Fomel, 2009) are alternatives for extracting the traveltime residuals. The WT algorithm might be a useful tool for building complex velocity models, especially for subsalt structures and with strong lateral gradients.…”
Section: Discussionmentioning
confidence: 99%
“…For complex models with short-wavelength errors, the semblance analysis based on a single parameter moveout equation does not ensure a precise representation of traveltime residuals. In this case, multiparameter moveout semblance analysis, predictive painting (Fomel, 2010), and time warping (Burnett and Fomel, 2009) extracting the traveltime residuals. This is a subject for future research.…”
Section: Discussionmentioning
confidence: 99%