An efficient elastic full‐waveform inversion of multiple parameters with ocean‐bottom seismometer data

Author:

Huang Xinquan1ORCID,Liu Yuzhu12

Affiliation:

1. School of Ocean and Earth Science Tongji University Shanghai China

2. State Key Laboratory of Marine Geology Tongji University Shanghai China

Abstract

AbstractDetailed knowledge of the subsurface elastic properties might provide much‐needed insight into the subduction‐zone structure and the estimation of reservoir parameters. Compressional and shear wave velocities can be inverted by elastic full‐waveform inversion using multicomponent ocean‐bottom seismometer data. However, this process is computationally intensive, requiring massive, repeated simulations scaling with the number of sources. Although source–receiver reciprocity can streamline elastic full‐waveform inversion, it cannot be applied by directly interchanging the positions of sources and ocean‐bottom seismometers. To reduce the computational cost, we develop a source–receiver reciprocal elastic full‐waveform inversion, in which the reciprocity in multicomponent data can be accomplished by transforming the data matching from the original geometry to a specific form under the reciprocal geometry. This approach significantly reduces computational costs from twice the number of sources, as seen in conventional elastic full‐waveform inversion, to a scale with the count of ocean‐bottom seismometers. The tests on synthetic data verify that the proposed reciprocal elastic full‐waveform inversion maintains accuracy while improving computational efficiency, and further application on the field data from East China Sea also showcases the efficiency of the proposed method, resulting in a speed‐up of 10 times.

Funder

National Natural Science Foundation of China

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3