Debubbling seismic data using a generalized neural network

Volume: 87, Issue: 1, Pages: V1 - V14
Published: Nov 9, 2021
Abstract
Estimating the far-field source signature has always been an important part of seismic processing. However, estimating the source signature from an air-gun array is difficult because of the complex interaction between the air bubble oscillations from each air gun, the state of the sea surface, variations in air pressure, the air guns’ geometry, etc. Removing the bubble noise is important because proper seismic imaging requires a zero-phased,...
Paper Details
Title
Debubbling seismic data using a generalized neural network
Published Date
Nov 9, 2021
Journal
Volume
87
Issue
1
Pages
V1 - V14
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