Seismic Multiple Removal Techniques: Past, Present and Future
By: Eric Verschuur
Instructor
Dr Eric Verschuur
(Technical University Delft, The Netherlands)
Duration
7–9 July 2021:
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 EAGE online courses. The packages are valid for a period of 12 months and give you credits (3, 5 or 10) to spend on courses of your choice.
Course Description
The main objective of this course is to give the audience an overview of the techniques in seismic multiple removal, starting with the deconvolution-based methods from the 1960s, via the move-out 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 inversion methodologies.
Course Objectives
This EET course, now available in online format, covers the content of the 1-day face-to-face programme and introduces new exercises included via an online Jupyter Notebook (in Python).
The contents and accompanying exercises are as follows:
Day 1:
- Lectures 1 – 4
- Exercise on (high-res) parabolic Radon
- Exercise on multiple prediction by wavefield extrapolation
Day 2:
- Lectures 5 – 7
- Exercise on 1D SRME
- Exercise on 2D SRME
Day 3:
- Lectures 8 – 10
- Exercise on Adaptive subtraction
- Exercise on Imaging of multiples
- Lecture 1: Multiples ... what’s the problem?
- Classification of multiple reflections
- Characteristics of multiples
- Impact on seismic imaging and interpretation
- Categories of multiple removal methods
- Lecture 2: Multiple removal based on move-out and dip discrimination
- Principle of multiple removal by move-out discrimination
- Generalized Radon transforms
- Multiple removal by filtering in the Radon domain
- Towards high-resolution Radon transforms
- Limitations of multiple removal by move-out discrimination
- Lecture 3: Predictive deconvolution
- Designing adaptive filters by least-squares optimization
- Predictive deconvolution basics
- Predictive deconvolution in the linear Radon domain
- Lecture 4: Multiple removal by wave field extrapolation
- Forward and inverse wave field extrapolation
- Multiple prediction by wave field extrapolation
- Source- and receiver-side reverberations*
- Lecture 5: Principles of surface-related multiple elimination
- Derivation of SRME for the 1D situation
- Including the source characteristics
- Iterative implementation of SRME
- Formulation of SRME for the 2D situation
- Shallow water hybrid solutions: SWD, MWD, image-driven multiple prediction*
- Comparison of multiple prediction methods
- Lecture 6: Practical considerations for surface-related multiple elimination
- Effect of missing data on SRME
- Interpolation of missing near offsets
- Shallow water multiple removal strategy
- Multiple removal for land data*
- Lecture 7: Adaptive subtraction of predicted multiples
- Least squares and L1-norm subtraction
- Multiple subtraction via the curvelet domain
- Lecture 8: Towards 3D multiple removal
- Multiples in complex 3D environments
- 3D SRME: theory and practice
- 3D SRME: solutions via data interpolation
- 3D hybrid multiple removal solutions*
- Lecture 9: Internal multiple removal
- Internal multiple removal by move-out discrimination
- Extending the SRME concept to internal multiples
- Internal multiple removal by inverse scattering
- CMP-oriented strategies*
- Lecture 10: Removing or using multiples?
- Estimation of primaries by sparse inversion (EPSI)
- Including multiples in the migration process
- Towards using primaries and multiples in full waveform inversion*
Course Material
Prior to the course, participants will receive the link to the e-book of the course.
Click here to visit the e-book website to get more details of the content of the book!
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 with the involved physical concepts, amplified by graphical illustrations.
Prerequisites
The audience is expected to have prior knowledge at B.Sc./M.Sc. level on processing concepts as convolution, correlation and Fourier transforms and some basic knowledge on wave theory.
About the Instructor
Dirk J. (Eric) Verschuur
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 Department of Imaging Physics. He is the director of the Delphi research consortium on geo-imaging. His main interests are seismic modeling, processing, migration and inversion techniques. In 1997 he received SEG's J. Clarence Karcher award and he is the recipient of SEG’s Virgil Kauffman Medal in 2006. He is a member of SEG and EAGE.