1887

Abstract

Automatic detection of geological discontinuities, eg., faults, is a crucial problem in the interpretation of 3D seismic data. We present a new fault detection technique based on the nonstationary similarity attribute. We use local dip pattern to form a structural prediction of seismic traces from neighboring traces. Local similarity between original data and predicted data enhances the coherency-type analysis with identification. In comparison with coherency attribute using slide-window correlation, nonstationary similarity indicates local measurement of fault. Numerical tests using field data in 2D and 3D confirm the effectiveness of the proposed technique for 3D fault detection.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.20148245
2012-06-04
2024-03-28
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20148245
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error