<?xml version="1.0" encoding="UTF-8"?>
<crossref_result xmlns="http://www.crossref.org/qrschema/3.0" version="3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/qrschema/3.0 http://www.crossref.org/schemas/crossref_query_output3.0.xsd">
  <query_result>
    <head>
      <doi_batch_id>none</doi_batch_id>
    </head>
    <body>
      <query status="resolved">
        <doi type="journal_article">10.1190/geo2022-0721.1</doi>
        <crm-item name="publisher-name" type="string">Society of Exploration Geophysicists</crm-item>
        <crm-item name="prefix-name" type="string">Society of Exploration Geophysicists</crm-item>
        <crm-item name="member-id" type="number">186</crm-item>
        <crm-item name="citation-id" type="number">155071976</crm-item>
        <crm-item name="journal-id" type="number">5981</crm-item>
        <crm-item name="deposit-timestamp" type="number">2025121212590840300</crm-item>
        <crm-item name="owner-prefix" type="string">10.1190</crm-item>
        <crm-item name="last-update" type="date">2025-12-12T17:59:16Z</crm-item>
        <crm-item name="created" type="date">2023-11-15T08:27:02Z</crm-item>
        <crm-item name="citedby-count" type="number">1</crm-item>
        <doi_record>
          <crossref xmlns="http://www.crossref.org/xschema/1.1" xsi:schemaLocation="http://www.crossref.org/xschema/1.1 http://doi.crossref.org/schemas/unixref1.1.xsd">
            <journal>
              <journal_metadata language="en">
                <full_title>Geophysics</full_title>
                <issn media_type="print">0016-8033</issn>
                <issn media_type="electronic">1942-2156</issn>
              </journal_metadata>
              <journal_issue>
                <publication_date media_type="print">
                  <month>03</month>
                  <day>01</day>
                  <year>2024</year>
                </publication_date>
                <journal_volume>
                  <volume>89</volume>
                </journal_volume>
                <issue>2</issue>
              </journal_issue>
              <journal_article publication_type="full_text">
                <titles>
                  <title>Bayesian reverse time migration with quantified uncertainty</title>
                </titles>
                <contributors>
                  <person_name sequence="first" contributor_role="author">
                    <given_name>Shuang</given_name>
                    <surname>Wang</surname>
                    <affiliations>
                      <institution>
                        <institution_name>Jilin University 1 , Changchun 130026, China. swang21@mails.jlu.edu.cn</institution_name>
                      </institution>
                    </affiliations>
                    <ORCID>http://orcid.org/0000-0003-2976-8323</ORCID>
                  </person_name>
                  <person_name sequence="additional" contributor_role="author">
                    <given_name>Xiangbo</given_name>
                    <surname>Gong</surname>
                    <affiliations>
                      <institution>
                        <institution_name>Jilin University 1 , Changchun 130026, China. gongxb@jlu.edu.cn</institution_name>
                      </institution>
                    </affiliations>
                    <ORCID>http://orcid.org/0000-0002-1628-5210</ORCID>
                  </person_name>
                  <person_name sequence="additional" contributor_role="author">
                    <given_name>Xingguo</given_name>
                    <surname>Huang</surname>
                    <affiliations>
                      <institution>
                        <institution_name>Jilin University 1 , Changchun 130026, China. xingguohuang@jlu.edu.cn (corresponding author)</institution_name>
                      </institution>
                    </affiliations>
                    <ORCID>http://orcid.org/0000-0001-9719-6297</ORCID>
                  </person_name>
                  <person_name sequence="additional" contributor_role="author">
                    <given_name>Jing</given_name>
                    <surname>Rao</surname>
                    <affiliations>
                      <institution>
                        <institution_name>Beihang University 2 , Beijing, China. jingrao@buaa.edu.cn</institution_name>
                      </institution>
                    </affiliations>
                    <ORCID>http://orcid.org/0000-0002-3105-7259</ORCID>
                  </person_name>
                  <person_name sequence="additional" contributor_role="author">
                    <given_name>Kristian</given_name>
                    <surname>Jensen</surname>
                    <affiliations>
                      <institution>
                        <institution_name>Metis Privatistskole 3 , Bergen, Norway. kristian.jensen@metis.no</institution_name>
                      </institution>
                    </affiliations>
                    <ORCID>http://orcid.org/0000-0002-9002-6591</ORCID>
                  </person_name>
                  <person_name sequence="additional" contributor_role="author">
                    <given_name>Li</given_name>
                    <surname>Han</surname>
                    <affiliations>
                      <institution>
                        <institution_name>Jilin University 1 , Changchun 130026, China. hanli19@mails.jlu.edu.cn</institution_name>
                      </institution>
                    </affiliations>
                    <ORCID>http://orcid.org/0000-0002-4488-5870</ORCID>
                  </person_name>
                  <person_name sequence="additional" contributor_role="author">
                    <given_name>Naijian</given_name>
                    <surname>Wang</surname>
                    <affiliations>
                      <institution>
                        <institution_name>BGP Inc. 4 , CNPC, Acquisition Technology Institute, Hebei Seismic Acquisition Technology Institute, Zhuozhou, China and , Zhuozhou, China. wangnaijian@cnpc.com.cn</institution_name>
                      </institution>
                      <institution>
                        <institution_name>Hebei Seismic Acquisition Technology Institute 4 , CNPC, Acquisition Technology Institute, Hebei Seismic Acquisition Technology Institute, Zhuozhou, China and , Zhuozhou, China. wangnaijian@cnpc.com.cn</institution_name>
                      </institution>
                    </affiliations>
                  </person_name>
                  <person_name sequence="additional" contributor_role="author">
                    <given_name>Xuliang</given_name>
                    <surname>Zhang</surname>
                    <affiliations>
                      <institution>
                        <institution_name>BGP Inc. 4 , CNPC, Acquisition Technology Institute, Hebei Seismic Acquisition Technology Institute, Zhuozhou, China and , Zhuozhou, China. zhangxuliang@cnpc.com.cn</institution_name>
                      </institution>
                      <institution>
                        <institution_name>Hebei Seismic Acquisition Technology Institute 4 , CNPC, Acquisition Technology Institute, Hebei Seismic Acquisition Technology Institute, Zhuozhou, China and , Zhuozhou, China. zhangxuliang@cnpc.com.cn</institution_name>
                      </institution>
                    </affiliations>
                  </person_name>
                </contributors>
                <jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1">
                  <jats:title>ABSTRACT</jats:title>
                  <jats:p>Reverse time migration (RTM) has been proven capable of producing high-quality images of subsurface structures. However, limited subsurface illumination combined with inaccurate forward modeling and migration velocities all lead to uncertainty in the seismic images. We quantify the migration uncertainty of RTM using an iterative inversion method based on a Bayesian inference framework. The posterior covariance matrix, computed at the maximum a posteriori (MAP) model, provides the foundation for estimating uncertainty. In the Bayesian inference framework, we combine an explicit sensitivity matrix based on a Green’s function representation with an iterative extended Kalman filter method. This enables us to determine the MAP solution of RTM and an estimate of its uncertainty. Numerical examples using synthetic data demonstrate how well the method can measure RTM uncertainty and produce reliable imaging results.</jats:p>
                </jats:abstract>
                <publication_date media_type="online">
                  <month>01</month>
                  <day>29</day>
                  <year>2024</year>
                </publication_date>
                <publication_date media_type="print">
                  <month>03</month>
                  <day>01</day>
                  <year>2024</year>
                </publication_date>
                <publication_date media_type="online">
                  <month>11</month>
                  <day>15</day>
                  <year>2023</year>
                </publication_date>
                <pages>
                  <first_page>S145</first_page>
                  <last_page>S154</last_page>
                </pages>
                <fr:program xmlns:fr="http://www.crossref.org/fundref.xsd" name="fundref">
                  <fr:assertion name="fundgroup">
                    <fr:assertion name="funder_name">
                      China National Petroleum Corporation
                      <fr:assertion name="funder_identifier">http://dx.doi.org/10.13039/501100002886</fr:assertion>
                    </fr:assertion>
                    <fr:assertion name="award_number">13-03-2022</fr:assertion>
                  </fr:assertion>
                  <fr:assertion name="fundgroup">
                    <fr:assertion name="funder_name">
                      National Natural Science Foundation of China
                      <fr:assertion name="funder_identifier">http://dx.doi.org/10.13039/501100001809</fr:assertion>
                    </fr:assertion>
                    <fr:assertion name="award_number">42374149</fr:assertion>
                    <fr:assertion name="award_number">42074151</fr:assertion>
                  </fr:assertion>
                </fr:program>
                <crossmark>
                  <crossmark_version>1</crossmark_version>
                  <crossmark_policy>10.1190/crossmark-policy</crossmark_policy>
                  <crossmark_domains>
                    <crossmark_domain>
                      <domain>library.seg.org</domain>
                    </crossmark_domain>
                  </crossmark_domains>
                  <crossmark_domain_exclusive>true</crossmark_domain_exclusive>
                  <custom_metadata>
                    <assertion name="received" label="Received" group_name="publication_history" group_label="Publication History" order="0">2022-12-14</assertion>
                    <assertion name="revised" label="Revised" group_name="publication_history" group_label="Publication History" order="1">2023-08-20</assertion>
                    <assertion name="accepted" label="Accepted" group_name="publication_history" group_label="Publication History" order="2">2023-10-20</assertion>
                    <assertion name="published" label="Published" group_name="publication_history" group_label="Publication History" order="3">2024-01-29</assertion>
                    <fr:program xmlns:fr="http://www.crossref.org/fundref.xsd" name="fundref">
                      <fr:assertion name="fundgroup">
                        <fr:assertion name="funder_name">
                          China National Petroleum Corporation
                          <fr:assertion name="funder_identifier">http://dx.doi.org/10.13039/501100002886</fr:assertion>
                        </fr:assertion>
                        <fr:assertion name="award_number">13-03-2022</fr:assertion>
                      </fr:assertion>
                      <fr:assertion name="fundgroup">
                        <fr:assertion name="funder_name">
                          National Natural Science Foundation of China
                          <fr:assertion name="funder_identifier">http://dx.doi.org/10.13039/501100001809</fr:assertion>
                        </fr:assertion>
                        <fr:assertion name="award_number">42374149</fr:assertion>
                        <fr:assertion name="award_number">42074151</fr:assertion>
                      </fr:assertion>
                    </fr:program>
                  </custom_metadata>
                </crossmark>
                <doi_data>
                  <doi>10.1190/geo2022-0721.1</doi>
                  <resource>https://pubs.geoscienceworld.org/geophysics/article/89/2/S145/633825/Bayesian-reverse-time-migration-with-quantified</resource>
                  <collection property="syndication">
                    <item>
                      <resource mime_type="application/pdf" content_version="vor">https://pubs.geoscienceworld.org/seg/geophysics/article-pdf/89/2/S145/6305462/geo-2022-0721.1.pdf</resource>
                    </item>
                  </collection>
                  <collection property="crawler-based">
                    <item crawler="iParadigms">
                      <resource>https://pubs.geoscienceworld.org/seg/geophysics/article-pdf/89/2/S145/6305462/geo-2022-0721.1.pdf</resource>
                    </item>
                  </collection>
                  <collection property="list-based" multi-resolution="unlock">
                    <item label="geoscienceworld" setbyID="silver_mr">
                      <resource>https://pubs.geoscienceworld.org/geophysics/article/89/2/s145/633825/bayesian-reverse-time-migration-with-quantified</resource>
                    </item>
                  </collection>
                </doi_data>
                <citation_list>
                  <citation key="2025121212590840300_r1">
                    <journal_title>Computers &amp; Geosciences</journal_title>
                    <author>Barbosa</author>
                    <volume>145</volume>
                    <cYear>2020</cYear>
                    <doi provider="crossref">10.1016/j.cageo.2020.104615</doi>
                    <article_title>A workflow for seismic imaging with quantified uncertainty</article_title>
                  </citation>
                  <citation key="2025121212590840300_r2">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Baysal</author>
                    <volume>48</volume>
                    <first_page>1514</first_page>
                    <cYear>1983</cYear>
                    <doi provider="crossref">10.1190/1.1441434</doi>
                    <article_title>Reverse time migration</article_title>
                  </citation>
                  <citation key="2025121212590840300_r3">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Bednar</author>
                    <volume>70</volume>
                    <issue>3</issue>
                    <first_page>3MJ</first_page>
                    <cYear>2005</cYear>
                    <doi provider="crossref">10.1190/1.1926579</doi>
                    <article_title>A brief history of seismic migration</article_title>
                  </citation>
                  <citation key="2025121212590840300_r4">
                    <issn>0018-9286</issn>
                    <journal_title>IEEE Transactions on Automatic Control</journal_title>
                    <author>Bell</author>
                    <volume>38</volume>
                    <first_page>294</first_page>
                    <cYear>1993</cYear>
                    <doi provider="crossref">10.1109/9.250476</doi>
                    <article_title>The iterated Kalman filter update as a Gauss-Newton method</article_title>
                  </citation>
                  <citation key="2025121212590840300_r5">
                    <issn>0165-2125</issn>
                    <journal_title>Wave Motion</journal_title>
                    <author>Beylkin</author>
                    <volume>12</volume>
                    <first_page>15</first_page>
                    <cYear>1990</cYear>
                    <doi provider="crossref">10.1016/0165-2125(90)90017-X</doi>
                    <article_title>Linearized inverse scattering problems in acoustics and elasticity</article_title>
                  </citation>
                  <citation key="2025121212590840300_r6">
                    <doi provider="crossref">10.1190/segam2017-17680416.1</doi>
                    <unstructured_citation>Biswas
              R.
            
            
              Sen
              M.
            
          , 2017, 2D full-waveform inversion and uncertainty estimation using the reversible jump Hamiltonian Monte Carlo: 87th Annual International Meeting, SEG, Expanded Abstracts, 1280–1285, doi: http://dx.doi.org/10.1190/segam2017-17680416.1.</unstructured_citation>
                  </citation>
                  <citation key="2025121212590840300_r7">
                    <author>Biswas</author>
                    <cYear>2022</cYear>
                    <article_title>Transdimensional 2D full-waveform inversion and uncertainty estimation</article_title>
                  </citation>
                  <citation key="2025121212590840300_r8">
                    <issn>1064-8275</issn>
                    <journal_title>SIAM Journal on Scientific Computing</journal_title>
                    <author>Bui-Thanh</author>
                    <volume>35</volume>
                    <first_page>A2494</first_page>
                    <cYear>2013</cYear>
                    <doi provider="crossref">10.1137/12089586X</doi>
                    <article_title>A computational framework for infinite-dimensional Bayesian inverse problems. Part I: The linearized case, with application to global seismic inversion</article_title>
                  </citation>
                  <citation key="2025121212590840300_r9">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Bunks</author>
                    <volume>60</volume>
                    <first_page>1457</first_page>
                    <cYear>1995</cYear>
                    <doi provider="crossref">10.1190/1.1443880</doi>
                    <article_title>Multiscale seismic waveform inversion</article_title>
                  </citation>
                  <citation key="2025121212590840300_r10">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Chang</author>
                    <volume>52</volume>
                    <first_page>1365</first_page>
                    <cYear>1987</cYear>
                    <doi provider="crossref">10.1190/1.1442249</doi>
                    <article_title>Elastic reverse-time migration</article_title>
                  </citation>
                  <citation key="2025121212590840300_r11">
                    <volume_title>Statistical data analysis</volume_title>
                    <author>Cowan</author>
                    <cYear>1998</cYear>
                    <doi provider="crossref">10.1093/oso/9780198501565.001.0001</doi>
                  </citation>
                  <citation key="2025121212590840300_r12">
                    <doi provider="crossref">10.1190/1.3513494</doi>
                    <unstructured_citation>Dai
              W.
            
            
              Boonyasiriwat
              C.
            
            
              Schuster
              G. T.
            
          , 2010, 3D multi-source least-squares reverse time migration: 80th Annual International Meeting, SEG, Expanded Abstracts, 3120–3124, doi: http://dx.doi.org/10.1190/1.3513494.</unstructured_citation>
                  </citation>
                  <citation key="2025121212590840300_r13">
                    <issn>0016-8025</issn>
                    <journal_title>Geophysical Prospecting</journal_title>
                    <author>Dai</author>
                    <volume>60</volume>
                    <first_page>681</first_page>
                    <cYear>2012</cYear>
                    <doi provider="crossref">10.1111/j.1365-2478.2012.01092.x</doi>
                    <article_title>Multi-source least-squares reverse time migration</article_title>
                  </citation>
                  <citation key="2025121212590840300_r14">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Dai</author>
                    <volume>78</volume>
                    <issue>4</issue>
                    <first_page>S165</first_page>
                    <cYear>2013</cYear>
                    <doi provider="crossref">10.1190/geo2012-0377.1</doi>
                    <article_title>Plane-wave least-squares reverse-time migration</article_title>
                  </citation>
                  <citation key="2025121212590840300_r15">
                    <doi provider="crossref">10.3997/2214-4609.201700353</doi>
                    <unstructured_citation>Eikrem
              K.
            
            
              Jakobsen
              M.
            
            
              Nævdal
              G.
            
          , 2017, Bayesian inversion of time-lapse seismic waveform data using an integral equation method: IOR 19th European Symposium on Improved Oil Recovery, cp-511-00120, doi: http://dx.doi.org/10.3997/2214-4609.201700353.</unstructured_citation>
                  </citation>
                  <citation key="2025121212590840300_r16">
                    <issn>0016-8025</issn>
                    <journal_title>Geophysical Prospecting</journal_title>
                    <author>Eikrem</author>
                    <volume>67</volume>
                    <first_page>379</first_page>
                    <cYear>2019</cYear>
                    <doi provider="crossref">10.1111/1365-2478.12730</doi>
                    <article_title>Iterated extended Kalman filter method for time-lapse seismic full-waveform inversion</article_title>
                  </citation>
                  <citation key="2025121212590840300_r17">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Ely</author>
                    <volume>83</volume>
                    <issue>2</issue>
                    <first_page>R63</first_page>
                    <cYear>2018</cYear>
                    <doi provider="crossref">10.1190/geo2017-0321.1</doi>
                    <article_title>Assessing uncertainties in velocity models and images with a fast nonlinear uncertainty quantification method</article_title>
                  </citation>
                  <citation key="2025121212590840300_r18">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Feng</author>
                    <volume>82</volume>
                    <issue>2</issue>
                    <first_page>S143</first_page>
                    <cYear>2017</cYear>
                    <doi provider="crossref">10.1190/geo2016-0254.1</doi>
                    <article_title>Elastic least-squares reverse time migration</article_title>
                  </citation>
                  <citation key="2025121212590840300_r19">
                    <journal_title>Journal of Geophysical Research: Solid Earth</journal_title>
                    <author>Fichtner</author>
                    <volume>120</volume>
                    <first_page>5549</first_page>
                    <cYear>2015</cYear>
                    <doi provider="crossref">10.1002/2015JB012106</doi>
                    <article_title>Resolution analysis by random probing</article_title>
                  </citation>
                  <citation key="2025121212590840300_r20">
                    <issn>0956-540X</issn>
                    <journal_title>Geophysical Journal International</journal_title>
                    <author>Fichtner</author>
                    <volume>187</volume>
                    <first_page>1604</first_page>
                    <cYear>2011</cYear>
                    <doi provider="crossref">10.1111/j.1365-246X.2011.05218.x</doi>
                    <article_title>Resolution analysis in full waveform inversion</article_title>
                  </citation>
                  <citation key="2025121212590840300_r21">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Fu</author>
                    <volume>87</volume>
                    <issue>4</issue>
                    <first_page>R349</first_page>
                    <cYear>2022</cYear>
                    <doi provider="crossref">10.1190/geo2021-0443.1</doi>
                    <article_title>A time-domain, multi-source Bayesian/Markov chain Monte Carlo formulation of time-lapse seismic waveform inversion</article_title>
                  </citation>
                  <citation key="2025121212590840300_r210">
                    <journal_title>Geophysics</journal_title>
                    <author>Gao</author>
                    <volume>78</volume>
                    <issue>1</issue>
                    <first_page>V21</first_page>
                    <cYear>2013</cYear>
                    <doi provider="crossref">10.1190/geo2012-0038.1</doi>
                    <article_title>A fast reduced-rank interpolation method for prestack seismic volumes that depend on four spatial dimensions</article_title>
                  </citation>
                  <citation key="2025121212590840300_r22">
                    <journal_title>Journal of Geophysical Research: Solid Earth</journal_title>
                    <author>Gouveia</author>
                    <volume>103</volume>
                    <first_page>2759</first_page>
                    <cYear>1998</cYear>
                    <doi provider="crossref">10.1029/97JB02933</doi>
                    <article_title>Bayesian seismic waveform inversion: Parameter estimation and uncertainty analysis</article_title>
                  </citation>
                  <citation key="2025121212590840300_r23">
                    <issn>0006-3444</issn>
                    <journal_title>Biometrika</journal_title>
                    <author>Green</author>
                    <volume>82</volume>
                    <first_page>711</first_page>
                    <cYear>1995</cYear>
                    <doi provider="crossref">10.1093/biomet/82.4.711</doi>
                    <article_title>Reversible jump Markov chain Monte Carlo computation and Bayesian model determination</article_title>
                  </citation>
                  <citation key="2025121212590840300_r24">
                    <issn>0006-3444</issn>
                    <journal_title>Biometrika</journal_title>
                    <author>Green</author>
                    <volume>88</volume>
                    <first_page>1035</first_page>
                    <cYear>2001</cYear>
                    <doi provider="crossref">10.1093/biomet/88.4.1035</doi>
                    <article_title>Delayed rejection in reversible jump Metropolis–Hastings</article_title>
                  </citation>
                  <citation key="2025121212590840300_r25">
                    <issn>0956-540X</issn>
                    <journal_title>Geophysical Journal International</journal_title>
                    <author>Guo</author>
                    <volume>222</volume>
                    <first_page>610</first_page>
                    <cYear>2020</cYear>
                    <doi provider="crossref">10.1093/gji/ggaa201</doi>
                    <article_title>Bayesian trans-dimensional full waveform inversion: Synthetic and field data application</article_title>
                  </citation>
                  <citation key="2025121212590840300_r26">
                    <journal_title>IEEE Geoscience and Remote Sensing Letters</journal_title>
                    <author>Hu</author>
                    <volume>19</volume>
                    <cYear>2021</cYear>
                    <article_title>Phase-amplitude least-squares reverse time migration with a simultaneous-source based on sparsity promotion in the time-frequency domain</article_title>
                  </citation>
                  <citation key="2025121212590840300_r27">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Huang</author>
                    <volume>85</volume>
                    <issue>4</issue>
                    <first_page>C125</first_page>
                    <cYear>2020</cYear>
                    <article_title>Bayesian full-waveform inversion in anisotropic elastic media using the iterated extended Kalman filter</article_title>
                  </citation>
                  <citation key="2025121212590840300_r28">
                    <issn>0196-2892</issn>
                    <journal_title>IEEE Transactions on Geoscience and Remote Sensing</journal_title>
                    <author>Huang</author>
                    <volume>59</volume>
                    <first_page>8895</first_page>
                    <cYear>2020</cYear>
                    <doi provider="crossref">10.1109/TGRS.2020.3035641</doi>
                    <article_title>Accelerating uncertainty quantification for nonlinear inverse scattering problems with high contrast media by direct envelope methods and Krylov subspace iterative integral equation solvers</article_title>
                  </citation>
                  <citation key="2025121212590840300_r29">
                    <issn>0021-9223</issn>
                    <journal_title>Journal of Basic Engineering</journal_title>
                    <author>Kalman</author>
                    <volume>82</volume>
                    <first_page>35</first_page>
                    <cYear>1960</cYear>
                    <doi provider="crossref">10.1115/1.3662552</doi>
                    <article_title>A new approach to linear filtering and prediction problems</article_title>
                  </citation>
                  <citation key="2025121212590840300_r30">
                    <unstructured_citation>Lailly
              P.
            
            
              Bednar
              J.
            
          , 1983, The seismic inverse problem as a sequence of before stack migrations: Conference on Inverse Scattering: Theory and Application, SIAM, 206–220.</unstructured_citation>
                  </citation>
                  <citation key="2025121212590840300_r290">
                    <journal_title>Water Resources Research</journal_title>
                    <author>Li</author>
                    <volume>51</volume>
                    <first_page>9942</first_page>
                    <cYear>2015</cYear>
                    <doi provider="crossref">10.1002/2015WR017203</doi>
                    <article_title>The compressed state Kalman filter for nonlinear state estimation: Application to large-scale reservoir monitoring</article_title>
                  </citation>
                  <citation key="2025121212590840300_r31">
                    <issn>0956-540X</issn>
                    <journal_title>Geophysical Journal International</journal_title>
                    <author>Malinverno</author>
                    <volume>151</volume>
                    <first_page>675</first_page>
                    <cYear>2002</cYear>
                    <doi provider="crossref">10.1046/j.1365-246X.2002.01847.x</doi>
                    <article_title>Parsimonious Bayesian Markov chain Monte Carlo inversion in a nonlinear geophysical problem</article_title>
                  </citation>
                  <citation key="2025121212590840300_r32">
                    <issn>1064-8275</issn>
                    <journal_title>SIAM Journal on Scientific Computing</journal_title>
                    <author>Martin</author>
                    <volume>34</volume>
                    <first_page>A1460</first_page>
                    <cYear>2012</cYear>
                    <doi provider="crossref">10.1137/110845598</doi>
                    <article_title>A stochastic Newton MCMC method for large-scale statistical inverse problems with application to seismic inversion</article_title>
                  </citation>
                  <citation key="2025121212590840300_r33">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Messud</author>
                    <volume>86</volume>
                    <issue>4</issue>
                    <first_page>U89</first_page>
                    <cYear>2021</cYear>
                    <doi provider="crossref">10.1190/geo2020-0603.1</doi>
                    <article_title>On tomography velocity uncertainty in relation with structural imaging</article_title>
                  </citation>
                  <citation key="2025121212590840300_r34">
                    <issn>0002-9505</issn>
                    <journal_title>American Journal of Physics</journal_title>
                    <author>Morse</author>
                    <volume>22</volume>
                    <first_page>410</first_page>
                    <cYear>1954</cYear>
                    <doi provider="crossref">10.1119/1.1933765</doi>
                    <article_title>Methods of theoretical physics</article_title>
                  </citation>
                  <citation key="2025121212590840300_r35">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Mulder</author>
                    <volume>69</volume>
                    <first_page>1491</first_page>
                    <cYear>2004</cYear>
                    <doi provider="crossref">10.1190/1.1836822</doi>
                    <article_title>A comparison between one-way and two-way wave-equation migration</article_title>
                  </citation>
                  <citation key="2025121212590840300_r36">
                    <journal_title>The Leading Edge</journal_title>
                    <author>Operto</author>
                    <volume>32</volume>
                    <first_page>1040</first_page>
                    <cYear>2013</cYear>
                    <doi provider="crossref">10.1190/tle32091040.1</doi>
                    <article_title>A guided tour of multiparameter full-waveform inversion with multicomponent data: From theory to practice</article_title>
                  </citation>
                  <citation key="2025121212590840300_r37">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Pan</author>
                    <volume>84</volume>
                    <issue>2</issue>
                    <first_page>R185</first_page>
                    <cYear>2019</cYear>
                    <doi provider="crossref">10.1190/geo2017-0832.1</doi>
                    <article_title>Interparameter trade-off quantification for isotropic-elastic full-waveform inversion with various model parameterizations</article_title>
                  </citation>
                  <citation key="2025121212590840300_r38">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Poliannikov</author>
                    <volume>81</volume>
                    <issue>1</issue>
                    <first_page>S21</first_page>
                    <cYear>2016</cYear>
                    <doi provider="crossref">10.1190/geo2014-0604.1</doi>
                    <article_title>The effect of velocity uncertainty on migrated reflectors: Improvements from relative-depth imaging</article_title>
                  </citation>
                  <citation key="2025121212590840300_r211">
                    <journal_title>Geophysical Journal International</journal_title>
                    <author>Pratt</author>
                    <volume>133</volume>
                    <first_page>341</first_page>
                    <cYear>1998</cYear>
                    <doi provider="crossref">10.1046/j.1365-246X.1998.00498.x</doi>
                    <article_title>Gauss–Newton and full Newton methods in frequency–space seismic waveform inversion</article_title>
                  </citation>
                  <citation key="2025121212590840300_r212">
                    <journal_title>Advances in Geophysics</journal_title>
                    <author>Rawlinson</author>
                    <volume>55</volume>
                    <first_page>1</first_page>
                    <cYear>2014</cYear>
                    <doi provider="crossref">10.1016/bs.agph.2014.08.001</doi>
                    <article_title>Seismic tomography and the assessment of uncertainty</article_title>
                  </citation>
                  <citation key="2025121212590840300_r39">
                    <journal_title>Journal of Geophysics and Engineering</journal_title>
                    <author>Ren</author>
                    <volume>10</volume>
                    <cYear>2013</cYear>
                    <doi provider="crossref">10.1088/1742-2132/10/3/035002</doi>
                    <article_title>Least-squares reverse time migration in frequency domain using the adjoint-state method</article_title>
                  </citation>
                  <citation key="2025121212590840300_r40">
                    <issn>8755-1209</issn>
                    <journal_title>Reviews of Geophysics</journal_title>
                    <author>Sambridge</author>
                    <volume>40</volume>
                    <first_page>3-1</first_page>
                    <cYear>2002</cYear>
                    <doi provider="crossref">10.1029/2000RG000089</doi>
                    <article_title>Monte Carlo methods in geophysical inverse problems</article_title>
                  </citation>
                  <citation key="2025121212590840300_r41">
                    <doi provider="crossref">10.3997/2214-4609.202010770</doi>
                    <unstructured_citation>Siahkoohi
              A.
            
            
              Rizzuti
              G.
            
            
              Herrmann
              F.
            
          , 2020, A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification: 82nd Annual International Conference and Exhibition, EAGE, Extended Abstracts, doi: http://dx.doi.org/10.3997/2214-4609.202010770.</unstructured_citation>
                  </citation>
                  <citation key="2025121212590840300_r42">
                    <journal_title>The Leading Edge</journal_title>
                    <author>Singh</author>
                    <volume>37</volume>
                    <first_page>924</first_page>
                    <cYear>2018</cYear>
                    <doi provider="crossref">10.1190/tle37120924.1</doi>
                    <article_title>Bayesian framework for elastic full-waveform inversion with facies information</article_title>
                  </citation>
                  <citation key="2025121212590840300_r43">
                    <unstructured_citation>Skoglund
              M. A.
            
            
              Hendeby
              G.
            
            
              Axehill
              D.
            
          , 2015, Extended Kalman filter modifications based on an optimization view point: 18th International Conference on Information Fusion, 1856–1861.</unstructured_citation>
                  </citation>
                  <citation key="2025121212590840300_r44">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Symes</author>
                    <volume>72</volume>
                    <issue>5</issue>
                    <first_page>SM213</first_page>
                    <cYear>2007</cYear>
                    <doi provider="crossref">10.1190/1.2742686</doi>
                    <article_title>Reverse time migration with optimal checkpointing</article_title>
                  </citation>
                  <citation key="2025121212590840300_r45">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Tarantola</author>
                    <volume>51</volume>
                    <first_page>1893</first_page>
                    <cYear>1986</cYear>
                    <doi provider="crossref">10.1190/1.1442046</doi>
                    <article_title>A strategy for nonlinear elastic inversion of seismic reflection data</article_title>
                  </citation>
                  <citation key="2025121212590840300_r46">
                    <volume_title>Inverse problem theory and methods for model parameter estimation</volume_title>
                    <author>Tarantola</author>
                    <cYear>2005</cYear>
                    <doi provider="crossref">10.1137/1.9780898717921</doi>
                  </citation>
                  <citation key="2025121212590840300_r47">
                    <issn>0956-540X</issn>
                    <journal_title>Geophysical Journal International</journal_title>
                    <author>Thurin</author>
                    <volume>219</volume>
                    <first_page>1613</first_page>
                    <cYear>2019</cYear>
                    <article_title>Ensemble-based uncertainty estimation in full waveform inversion</article_title>
                  </citation>
                  <citation key="2025121212590840300_r48">
                    <doi provider="crossref">10.1190/segam2016-13944013.1</doi>
                    <unstructured_citation>Tveit
              S.
            
            
              Mannseth
              T.
            
            
              Jakobsen
              M.
            
          , 2016, Discriminating time-lapse saturation and pressure changes in CO2 monitoring from seismic waveform and CSEM data using ensemble-based Bayesian inversion: 86th Annual International Meeting, SEG, Expanded Abstracts, 5485–5489, doi: http://dx.doi.org/10.1190/segam2016-13944013.1.</unstructured_citation>
                  </citation>
                  <citation key="2025121212590840300_r49">
                    <volume_title>Encyclopedia of exploration geophysics</volume_title>
                    <author>Virieux</author>
                    <first_page>R1-1</first_page>
                    <cYear>2017</cYear>
                  </citation>
                  <citation key="2025121212590840300_r50">
                    <doi provider="crossref">10.1190/1.3627684</doi>
                    <unstructured_citation>Wong
              M.
            
            
              Ronen
              S.
            
            
              Biondi
              B.
            
          , 2011, Least-squares reverse time migration/inversion for ocean bottom data: A case study: 81st Annual International Meeting, SEG, Expanded Abstracts, 2369–2373, doi: http://dx.doi.org/10.1190/1.3627684.</unstructured_citation>
                  </citation>
                  <citation key="2025121212590840300_r51">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Yang</author>
                    <volume>84</volume>
                    <issue>5</issue>
                    <first_page>R725</first_page>
                    <cYear>2019</cYear>
                    <doi provider="crossref">10.1190/geo2018-0438.1</doi>
                    <article_title>Comparison between Born and Kirchhoff operators for least-squares reverse time migration and the constraint of the propagation of the background wavefield</article_title>
                  </citation>
                  <citation key="2025121212590840300_r52">
                    <journal_title>Chinese Journal of Geophysics</journal_title>
                    <author>Zhang</author>
                    <volume>57</volume>
                    <first_page>1599</first_page>
                    <cYear>2014</cYear>
                    <article_title>Frequency domain acoustic equation high-order modeling based on an average-derivative method</article_title>
                  </citation>
                  <citation key="2025121212590840300_r53">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Zhang</author>
                    <volume>86</volume>
                    <issue>5</issue>
                    <first_page>A45</first_page>
                    <cYear>2021</cYear>
                    <doi provider="crossref">10.1190/geo2021-0118.1</doi>
                    <article_title>Bayesian full-waveform inversion with realistic priors</article_title>
                  </citation>
                  <citation key="2025121212590840300_r54">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Zhang</author>
                    <volume>76</volume>
                    <issue>3</issue>
                    <first_page>WA3</first_page>
                    <cYear>2011</cYear>
                    <doi provider="crossref">10.1190/1.3554411</doi>
                    <article_title>A stable TTI reverse time migration and its implementation</article_title>
                  </citation>
                  <citation key="2025121212590840300_r55">
                    <issn>0956-540X</issn>
                    <journal_title>Geophysical Journal International</journal_title>
                    <author>Zhang</author>
                    <volume>213</volume>
                    <first_page>2112</first_page>
                    <cYear>2018</cYear>
                    <doi provider="crossref">10.1093/gji/ggy113</doi>
                    <article_title>Multiparameter elastic full waveform inversion with facies-based constraints</article_title>
                  </citation>
                  <citation key="2025121212590840300_r56">
                    <issn>0956-540X</issn>
                    <journal_title>Geophysical Journal International</journal_title>
                    <author>Zhao</author>
                    <volume>228</volume>
                    <first_page>213</first_page>
                    <cYear>2022</cYear>
                    <doi provider="crossref">10.1093/gji/ggab298</doi>
                    <article_title>Bayesian seismic tomography using normalizing flows</article_title>
                  </citation>
                  <citation key="2025121212590840300_r57">
                    <issn>0012-8252</issn>
                    <journal_title>Earth-Science Reviews</journal_title>
                    <author>Zhou</author>
                    <volume>179</volume>
                    <first_page>207</first_page>
                    <cYear>2018</cYear>
                    <doi provider="crossref">10.1016/j.earscirev.2018.02.008</doi>
                    <article_title>Reverse time migration: A prospect of seismic imaging methodology</article_title>
                  </citation>
                  <citation key="2025121212590840300_r58">
                    <issn>0016-8033</issn>
                    <journal_title>Geophysics</journal_title>
                    <author>Zhu</author>
                    <volume>81</volume>
                    <issue>5</issue>
                    <first_page>R307</first_page>
                    <cYear>2016</cYear>
                    <doi provider="crossref">10.1190/geo2015-0641.1</doi>
                    <article_title>A Bayesian approach to estimate uncertainty for full-waveform inversion using a priori information from depth migration</article_title>
                  </citation>
                </citation_list>
              </journal_article>
            </journal>
          </crossref>
        </doi_record>
      </query>
    </body>
  </query_result>
</crossref_result>