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US 12,554,032 B2Granted
Method and system for seismic data compression and noise reduction
OwnerJonathan S. Abel, Sean A. Coffininventors
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OwnerJonathan S. Abel, Sean A. Coffininventors
Estimating the term…
In the field of seismic data collection and analysis, the problem of data compression is considered. It is desired to reduce the storage and transmission requirements of seismic data, such as associated with microseismic monitoring and processing, VSP (vertical seismic profile) surveys, and the like, for instance using a distributed acoustic sensor (DAS), which can generate in excess of 50 GB of data per hour on a survey that lasts days. A method and system for data compression that separates the data collected into additive signal and noise components, and compresses the estimated signal component for transmission, storage, and analysis, is described. The idea is that the signal component, which exhibits clear structure across the traces, may be accurately described with relatively few parameters, and therefore may be significantly compressed without loss of important information.
A method for processing a set of M seismic traces from an array of sensors so as to reduce its storage or transmission requirements, while reducing the presence of seismic background or noise in a reconstructed set of seismic signals, comprising:
A method for processing a set of M seismic traces from an array of sensors so as to reduce its storage or transmission requirements comprising:
A method for reducing the storage or transmission requirements of a set of M seismic traces from an array of sensors comprising:
Dependencies are inferred from the claim text.