• DocumentCode
    1226162
  • Title

    A study of uncertainties in the prediction of neutron porosity logging-tool responses

  • Author

    Butler, J. ; McCracken, A.K. ; Kemshell, P.B.

  • Author_Institution
    Winfrith Pet. Technol., UKAEA, Dorchester, UK
  • Volume
    36
  • Issue
    1
  • fYear
    1989
  • fDate
    2/1/1989 12:00:00 AM
  • Firstpage
    1205
  • Lastpage
    1209
  • Abstract
    The prediction of logging-tool responses suffers from both systematic and random sources of error of which only the latter can be treated in a scientifically objective manner. The use of a point-energy Monte Carlo code with a versatile modeling package essentially eliminates systematic error. The authors present a detailed discussion of all sources of random uncertainty, with particular reference to the responses of a dual-spaced neutron porosity tool (WILT, Winfrith Logging Tool) in both water and sandstone. Sensitivity analysis is used to identify the principal contributions to the total calculational uncertainty, and the statistical credibility of the comparison between measurements and calculations is discussed. Uncertainty in nuclear cross-sections is shown to be the dominant single source of uncertainty in calculated reaction rates. This applies with particular force as source-counter separation increases. The accuracy of the counting ratio calculation depends largely on the accuracy of the far counter calculation
  • Keywords
    Monte Carlo methods; geophysical equipment; geophysical prospecting; sensitivity analysis; WILT; error; neutron porosity logging-tool; nuclear cross-sections; point-energy Monte Carlo code; responses; sensitivity analysis; uncertainties; Attenuation measurement; Detectors; Energy measurement; Error analysis; Geometry; Hydrogen; Monte Carlo methods; Neutrons; Uncertainty; Water resources;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.34632
  • Filename
    34632