JMI-FWI:使用联合迁移反演(JMI)和全波形反演(FWI)的级联工作流

Second EAGE/PESGB Workshop on Velocities Pub Date : 2019-04-04 DOI:10.3997/2214-4609.201900035

G. Eisenberg-Klein, E. Verschuur, S. Qu, E. Schünemann

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引用次数: 0

摘要

基于全波形反演的数据驱动速度模型构建(VMB)需要非常宽的频带，特别是低频数据内容来克服周期跳变问题。在本文中，我们展示了DELHPI联盟小组引入的联合偏移反演方法如何应用于级联工作流程，以产生高质量的速度模型，以启动和减少全波形反演的工作量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

Summary 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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Second EAGE/PESGB Workshop on Velocities

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