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    <identifier>10.57760/sciencedb.j00186.00541</identifier>
    <datestamp>2025-01-17T23:46:50Z</datestamp>
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  <dc:date>2025-01-17</dc:date>
  <dc:title>Study of the elastic scattering effects of a slowing-down model on D-T neutron porosity logging</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00186.00541</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>There has been a growing interest in the application of a controllable neutron source for the purpose of measuring formation porosity in the advancement of nuclear logging.&amp;nbsp;The existing porosity algorithm, which is based on the&amp;nbsp;thermal neutron counting rate, shows a lower sensitivity in the high porosity region. To enhance the sensitivity, the effects of elastic&amp;nbsp;and inelastic scattering, which influence the slowing-down of fast neutrons&amp;nbsp;are theoretically analyzed, and a slowing-down model of fast neutrons is created.&amp;nbsp;Based on this&amp;nbsp;model,&amp;nbsp;a density correction&amp;nbsp;porosity algorithm is proposed&amp;nbsp;according to relationship between density,&amp;nbsp;thermal neutron counting ratio&amp;nbsp;and porosity. Finally, the Super Multi-functional Calculation Program for Nuclear Design and Safety Evaluation (TopMC/SuperMC), was used to create a simulation model for porosity logging and the applicability was examined. The result shows that the relative error between the calculated porosity and the actual porosity is less than 1%, and the influence of deviation in the density measurement is less than 2%. Therefore, the proposed density correction algorithm based on the slowing-down model of fast neutrons can effectively improve the sensitivity&amp;nbsp;in the high porosity region. This study has certain&amp;nbsp;reference&amp;nbsp;significance for the application of neutron porosity measurement with D-T neutron sources</dc:description>
  <dc:subject>D-T neutron source; Slowing-down model; elastic scattering; Neutron porosity</dc:subject>
  <dc:creator>Zhou Shaoheng</dc:creator>
  <dc:creator>Tao Yinglong</dc:creator>
  <dc:creator>Chang Bo</dc:creator>
  <dc:creator>Hao Lijuan</dc:creator>
  <dc:creator>Jiang Jieqiong</dc:creator>
  <dc:creator>Li Yazhou</dc:creator>
  <dc:creator>Wang Fang</dc:creator>
  <dc:creator>Gan Quan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.1007/s41365-025-01654-y</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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