Seismic Multiple Removal Techniques: Past, Present and Future
By: Eric Verschuur
Instructor
Dr Eric Verschuur
(Delft University of Technology, Netherlands)
Duration
23–25 October 2023:
9:00AM-1:00PM CEST
4 hours/day
Disciplines
Geophysics – Seismic Processing
Course Format
This course is part of the EAGE Education Tours (EET), the flagship education programme of the Association. EET courses are specifically designed to bring members the latest developments in geoscience and engineering through experienced instructors from industry and academia. In 2020 we are proud to introduce EET courses that can be attended remotely over two half-day sessions. Participants will have the possibility to interact live with the instructor and ask questions. EET courses are supported by the EAGE Education Fund for the benefit of members, who can register for special discounted fees.
Education Packages
To help you save on registration fees and better organize your learning path, we are offering Education Packages for all Interactive Online Short Courses and Online EETs. The packages are valid for a period of 12 months, choose between packages of 3, 5 and 10 credits.
Course Description
The main objective of this course is to provide the audience with an overview of the techniques in seismic multiple removal, starting with the deconvolution-based methods from the 1960s, via the moveout discrimination techniques of the 1980s and ending up with wave-equation based methods from the 1990s and their 3D extensions as developed in the 2000s. Furthermore, the current challenges in multiple removal and their relation with seismic imaging and inversion are treated. A secondary objective is to discuss more general processing concepts such as high-resolution seismic data transforms (Fourier, Radon), adaptive filtering techniques, wave-equation based forward and inverse wave propagation and the processing of seismic data in different transform domains. For each method some brief description of the theory in terms of mathematics is given. However, the emphasis in this course is not to thoroughly treat the mathematics but to present some understanding of the workings of each method.
Course Outline
The following steps in seismic data processing will be discussed:
• including the recently developed EPSI (Estimation of Primaries by Spares Inversion) methodology (Lecture 10)
• including an extensive discussion on using surface multiples in
Imaging (Lecture 10)
Participants' Profile
The target audience is composed of people involved in seismic processing, imaging and inversion. The mathematical content is kept to a minimum level with a strong link to the involved physical concepts, amplified by graphical illustrations. The audience is expected to have prior knowledge at a B.Sc./M.Sc. level on processing concepts such as convolution, correlation and Fourier transforms and some basic knowledge on wave theory.
Prerequisites
Participants should have a basic knowledge of:
• Basic signal processing (convolution, correlation, Fourier transform);
• Basic seismic processing (preprocessing, imaging);
• Basic knowledge on the acoustic wave equation and wave propagation.
About the Instructor
Dirk J. (Eric) Verschuur received his M.Sc. degree in 1986 and his Ph. D degree (honors) in 1991 from the Delft University of Technology (DUT), both in applied physics. From 1992 - 1997 he worked under a senior research fellowship from the Royal Dutch Academy of Art and Sciences (KNAW). In 1997 he became assistant professor and since 1999 he is an associate professor at the DUT at the laboratory of Acoustical Imaging and Sound Control. He is the project leader of the DELPHI research consortium in the area of Multiple Removal and Structural Imaging. His main interests are seismic modeling, processing and migration techniques. In 1997 he received SEG’s J. Clarence Karcher award. He is a member of SEG and EAGE.