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Response characterization of slim-hole density sonde using Monte Carlo method

Monte Carlo 방법을 이용한 소구경용 밀도 존데의 반응 특성

  • Won, Byeongho (Heesong Geotek Co., Ltd.) ;
  • Hwang, Seho (Geologic Environment Division, Korea Institute of Geoscience and Mineral Resources) ;
  • Shin, Jehyun (Geologic Environment Division, Korea Institute of Geoscience and Mineral Resources) ;
  • Park, Chang Je (Nuclear Engineering, Sejong University) ;
  • Kim, Jongman (Geologic Environment Division, Korea Institute of Geoscience and Mineral Resources) ;
  • Hamm, Se-Yeong (Department of Geological Sciences, Pusan National University)
  • 원병호 ((주)희송지오텍) ;
  • 황세호 (한국지질자원연구원 지구환경연구본부) ;
  • 신제현 (한국지질자원연구원 지구환경연구본부) ;
  • 박창제 (세종대학교 원자력공학과) ;
  • 김종만 (한국지질자원연구원 지구환경연구본부) ;
  • 함세영 (부산대학교 지질환경과학과)
  • Received : 2014.08.11
  • Accepted : 2014.08.25
  • Published : 2014.08.31

Abstract

We performed MCNP modeling for density log, and examined its reliability and validity comparing the correction curves from physical borehole model. Based on the constructed numerical model, numerical modelings of density sonde in three-inch borehole were carried out under the various conditions such as the existence and type of casing or fluid, and also the stand-off between the sonde and borehole wall. These results of numerical modeling quantitatively reflect effects of casing and fluid in borehole, and moreover, demonstrate constant patterns with interval change from borehole wall. From this study, numerical modeling using MCNP shows a good applicability for well logging, and therefore, can be efficiently used for the calibration of well logging data under the various borehole conditions.

Acknowledgement

Supported by : 한국에너지기술평가원(KETEP)

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Cited by

  1. Neutron Induced Capture Gamma Spectroscopy Sonde Design and Response Analysis Based on Monte Carlo Simulation vol.18, pp.3, 2015, https://doi.org/10.7582/GGE.2015.18.3.154