  Seismologists often need to gather information about the subsurface structure
of a location to determine if it is fit to be drilled for oil. However, there
may be electrical noise in seismic data which is often removed by disregarding
certain portions of the data with the use of a notch filter. Instead, we use a
convolutional encoder decoder network to remove such noise by training the
network to take the noisy shot record as input and remove the noise from the
shot record as output. In this way, we retain important information about the
data collected while still removing coherent noise in seismic data.
