Internal Multiple Removal - Status, challenges, and road ahead


22 October 2021
Room: E103
Conveners: Lele Zhang (Delft University of Technology)
Clement Kostov 
Pierre Hugonnet (CGG)
Matteo Ravasi (KAUST)

Workshop Description

In seismic processing, most imaging and inversion schemes are formulated under the assumption that single-scattered events are signal and all other events are noise. Within this paradigm, accurate removals of free-surface and internal multiples are required in the data conditioning steps. Recent advances in methods for internal multiples elimination have indicated potential for much improved imaging results in a variety of synthetic and field data scenarios. 

In other research developments, sub-events from multiples or sub-sets of multiples are considered as signal within imaging or inversion methods. While most of this work has focused on utilizing free-surface multiples as signal, there are also methods that aim to use internal multiples as signal in imaging, inversion or velocity model building.

In this workshop we will discuss recent research advances on internal multiples with the goal of understanding pre-requisites, potential, and limitations of current methods, with respect to both theoretical and practical aspects, as well as the interrelationship between current methods. We will have four mini-sessions in the workshop, starting with three sessions on advanced prediction methods (including Inverse Scattering series and Marchenko approaches; methods that make use of subsurface velocity models, and methods that jointly address multiples and velocity model building). The last mini-session of the workshop will focus on the inclusion of advanced prediction methods in practical workflows both in terms of operational challenges and in meeting requirements and expectations for improved quality of the results. 


Workshop Format

This full-day post-convention workshop will consist of four mini sessions, each including three to five oral presentations (20 min each) and time (20 min) for questions and discussion.




Workshop Programme

  
08:50 Opening
Chaired by: C. Kostov and M. Ravasi (KAUST)
09:00An overview of Marchenko methods
K. Wapenaar (Delft University of Technology)
09:20Marchenko multiple elimination
E. Slob (Delft University of Technology)
09:40The role of minimum phase in internal multiple removal
M. Dukalski (Aramco Overseas Company B.V.)
10:00Elastodynamic Marchenko method: advances and remaining challenges
C. Reinicke (Aramco Overseas Company B.V.)
10:20Data-driven internal multiple elimination applications using imperfectly sampled reflection data
J. Brackenhoff (ETH Zürich)
10:40Q&A and discussion 
11:00Coffee break
11:10Including internal multiples in imaging and velocity updating: Potential and Limitations
E. Verschuur (Delft University of Technology)
11:30Predicting internal multiples by inversion based imaging
M. Davydenko (Delft University of Technology)
11:50The use of multi-scattered energy in imaging and velocity model building
T. Alkhalifah (KAUST)
12:10Q&A and discussion time
12:30Lunch break
Chaired by: P. Hugonnet (CGG) and L. Zhang (Delft University of Technology)
13:30A new role for adaptive filters in Marchenko equation-based methods for the attenuation of internal multiples
M. Staring (Fugro)
13:50General overview of advanced internal multiple attenuation prediction methods and workflows
F. Xavier de Melo (Schlumberger)
14:10Internal Multiple Attenuation: using the low frequencies to protect the primaries
P. Hugonnet (CGG)
14:30Q&A and discussion time
14:50Coffee Break
15:00Multiples: towards a toolbox perspective on assumptions, challenges and options
A. Benjamin Weglein (University of Houston)
15:20Enhancing internal multiple prediction by using the inverse scattering series
J. Wu (Schlumberger)
15:40Q&A and discussion 
16:00Close


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