Joint PP and PS seismic inversion using predicted PS waves from deep learning.

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Title: Joint PP and PS seismic inversion using predicted PS waves from deep learning.
Authors: Fu, Xin1, Zhang, Feng2 zhangfeng@cup.edu.cn, Cao, Dan-Ping1
Source: Petroleum Science (KeAi Communications Co.). Nov2025, Vol. 22 Issue 11, p4573-4583. 11p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 190317955
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PubType: Academic Journal
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  Data: Joint PP and PS seismic inversion using predicted PS waves from deep learning.
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  Data: <searchLink fieldCode="AR" term="%22Fu%2C+Xin%22">Fu, Xin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Feng%22">Zhang, Feng</searchLink><relatesTo>2</relatesTo><i> zhangfeng@cup.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Cao%2C+Dan-Ping%22">Cao, Dan-Ping</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Petroleum+Science+%28KeAi+Communications+Co%2E%29%22">Petroleum Science (KeAi Communications Co.)</searchLink>. Nov2025, Vol. 22 Issue 11, p4573-4583. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190317955
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.petsci.2025.08.003
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 4573
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      – TitleFull: Joint PP and PS seismic inversion using predicted PS waves from deep learning.
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            NameFull: Fu, Xin
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            NameFull: Zhang, Feng
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            NameFull: Cao, Dan-Ping
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              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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            – TitleFull: Petroleum Science (KeAi Communications Co.)
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