1. NExT
  2. SLB Software
  3. Signal Analysis in Seismic Data Processing
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Signal Analysis in Seismic Data Processing

Level: Skill | Type: Classroom | Discipline: Omega

This three-day course is designed to introduce the student to signal analysis in seismic data processing.  The course will cover sampling and wavelet processing theory, including generation of phase and amplitude spectra and manipulation of the wavelet. The student will learn how these are applied in typical processing environments, before covering the entire workflow in Omega.


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o   Sampling and Wavelet processing theory

o   Filtering, transforms, the convolutional model and application to demultiple and regularization

o   Omega overview and practice


This course is intended for seismic data processors with processing experience or advanced users who require a refresher in wavelet processing.


An understanding of the concepts underlying seismic data processing and common data processing challenges. Participants without any prior knowledge of Omega must have taken the Fundamentals of Omega class before enrolling for this class.

Currently there are no scheduled classes for this course.

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