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

G. Eisenberg-Klein; D.J. Verschuur; Shan Qu; E. Schünemann

doi:10.3997/2214-4609.201900035

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

G. Eisenberg-Klein, D.J. Verschuur, Shan Qu, E. Schünemann

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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.

Original language	English
Title of host publication	Proceedings of the Second EAGE/PESGB Workshop on Velocities
Publisher	EAGE
Number of pages	3
ISBN (Electronic)	9789462822856
DOIs	https://doi.org/10.3997/2214-4609.201900035
Publication status	Published - 2019
Event	Second EAGE/PESGB Workshop on Velocities - etc.venues Marble Arch, London, United Kingdom Duration: 4 Apr 2019 → 5 Apr 2019 https://events.eage.org/en/2019/Second%20EAGE%20PESGB%20Workshop%20on%20Velocities

Workshop

Workshop	Second EAGE/PESGB Workshop on Velocities
Country/Territory	United Kingdom
City	London
Period	4/04/19 → 5/04/19
Internet address	https://events.eage.org/en/2019/Second%20EAGE%20PESGB%20Workshop%20on%20Velocities

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title = "JMI-FWI: Cascading Workflow Using Joint Migration Inversion (JMI) and Full Waveform Inversion (FWI)",

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. ",

author = "G. Eisenberg-Klein and D.J. Verschuur and Shan Qu and E. Sch{\"u}nemann",

year = "2019",

doi = "10.3997/2214-4609.201900035",

language = "English",

booktitle = "Proceedings of the Second EAGE/PESGB Workshop on Velocities",

publisher = "EAGE",

note = "Second EAGE/PESGB Workshop on Velocities ; Conference date: 04-04-2019 Through 05-04-2019",

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AU - Verschuur, D.J.

AU - Qu, Shan

AU - Schünemann, E.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

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U2 - 10.3997/2214-4609.201900035

DO - 10.3997/2214-4609.201900035

M3 - Conference contribution

BT - Proceedings of the Second EAGE/PESGB Workshop on Velocities

PB - EAGE

T2 - Second EAGE/PESGB Workshop on Velocities

Y2 - 4 April 2019 through 5 April 2019

ER -

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

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Workshop

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