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Prediction of narrow channel sand body by dynamic and static data

Journal of physics. Conference series, 2021-04, Vol.1894 (1), p.12064 [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1894/1/012064

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  • Title:
    Prediction of narrow channel sand body by dynamic and static data
  • Author: Libo, Sun
  • Subjects: Data logging ; Deduction ; Sand
  • Is Part Of: Journal of physics. Conference series, 2021-04, Vol.1894 (1), p.12064
  • Description: Abstract At present, a description method has been formed for prediction of the sand body in narrow underwater distributary channel in delta inner front intrafacies. Usually, static data, such as core data and well logging data, are used to predict the sand body distribution in narrow channel. However, dynamic data are inconsistent with static data during dynamic analysis based on the description results. In this paper, a narrow channel was predicted and depicted by combining dynamic and static data, resulting in not only theoretical deduction and genetic interpretation based on static data, but also improvement and verification based on dynamic data. Thus, the geological prediction results are more compliant with the underground conditions. A method for prediction of narrow channel sand body based on dynamic and static data is formed.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/1894/1/012064
  • Source: Freely Accessible Journals
    IOP Publishing
    ProQuest Central
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