JMI-FWI: Cascading Workflow Using Joint Migration Inversion (JMI) and Full Waveform Inversion (FWI)

None, None; None, None; None, None; None, None

JMI-FWI: Cascading Workflow Using Joint Migration Inversion (JMI) and Full Waveform Inversion (FWI)

Conference Paper (2019)

Author(s)

G. Eisenberg-Klein (TEEC Geophysics)

D.J. Verschuur (ImPhys/Acoustical Wavefield Imaging )

Shan Qu (ImPhys/Acoustical Wavefield Imaging )

E. Schünemann (TEEC Geophysics)

ImPhys/Acoustical Wavefield Imaging

DOI related publication

https://doi.org/10.3997/2214-4609.201900035 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:105ca595-8e30-4d18-bd0b-787c101f57de

More Info

expand_more

Publication Year

2019

Language

English

ImPhys/Acoustical Wavefield Imaging

ISBN (electronic)

9789462822856

Event

Second EAGE/PESGB Workshop on Velocities (2019-04-04 - 2019-04-05), etc.venues Marble Arch, London, United Kingdom

Downloads counter

187

Abstract

Data driven Velocity Model Building (VMB) based on Full Waveform Inversion requires very broad band, especially low frequnecy data content to overcome the cycle skipping problem. In this paper we demonstrate how the Joint Migration Inversion method introduced by the DELHPI consortium group applied in a cascaded workflow to preduce a hich quality velocity model to start and reduce efforts in Full Waveform Inversion.