?Coping with the raise of data volume is becoming critical in almost all industries. In petroleum industry, especially in seismic where the tendency is to acquire denser data and migrate finer image, methods have to be put in place in order to mitigate this trend. In the paper we discuss about the use of lossy data compression in a Gaussian beam migration algorithm to handle smaller input volume and temporary data. To better represent seismic data, wavelet packet transform technics are used as a basis for the compression algorithm. Thanks to this technique we can achieve good compression ratio without affecting the data quality. Finally, the compression algorithm had to be redesigned to be able to run efficiently enough to highly compete to non-compressed data access.

Presentation Date: Wednesday, October 17, 2018

Start Time: 1:50:00 PM

Location: Poster Station 20

Presentation Type: Poster

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