A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf
.
Automatic event picking in pre-stack migrated gathers using a probabilistic neural network
[report]
1996
unpublished
We describe algorithms for automating the process of picking seismic events in prestack migrated common depth image gathers. The approach uses supervised learning and statistical classification algorithms along with advanced signal/image processing algorithms. No model assumption is made such as hyperbolic moveout. We train a probabilistic neural network for voxel classification using event times, subsurface points and offsets (ground truth information) picked manually by expert interpreters.
doi:10.2172/394450
fatcat:ougaasd5qrgxnprsx76o2fqfdm