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Analysis of the elemental spectral characteristics of single elemental capture spectrum log using Monte-Carlo simulation

  • Chang-Lin LanEmail author
  • Xu-Wen Zhan
  • Hong-Liang Wu
  • Yi Zhang
  • Tong Liu
  • Zhou Feng
  • Tao Lv
Article

Abstract

In this study, the gamma-ray spectrum of single elemental capture spectrum log was simulated. By numerical simulation we obtain a single-element neutron capture gamma spectrum. The neutron and photon transportable processes were simulated using the Monte Carlo N-Particle Transport Code System (MCNP), where an Am-Be neutron source generated the neutrons and thermal neutron capture reactions with the stratigraphic elements. The characteristic gamma rays and the standard gamma spectra were recorded, from analyzing of the characteristic spectra analysis we obtain the ten elements in the stratum, such as Si, Ca, Fe, S, Ti, Al, K, Na, Cl, and Ba. Comparing with single elemental capture gamma spectrum of Schlumberger, the simulated characteristic peak and the spectral change results are in good agreement with Schlumberger. The characteristic peak positions observed also consistent with the data obtained from the National Nuclear Data Center of the International Atomic Energy Agency. The neutron gamma spectrum results calculated using this simple method have practical applications. They also serve as an reference for data processing using other types of element logging tools.

Keywords

Neutron gamma spectrum single element elemental capture spectrum logging ECS thermal neutron capture Monte Carlo method MCNP 

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References

  1. Briesmeister, J. F., 2000, MCNP-A general Monte Carlo N-particle Transport code Version 4C: Los Alamos National Laboratory Report LA-13709-M, April, 2.1–2.197.Google Scholar
  2. Carl, J. K., 2007, Neutron capture logging calibration and data analysis for environmental contaminant assessment: Journal of Applied Geophysics, 61(2), 111–131.CrossRefGoogle Scholar
  3. Dan, B., Rod, C., Eric, D., Jim, G., Michael, H., Susan, H., Udit, K. G., Martin, J., Thomas, M. M., Erik, R., and Jim, W., 2005, Spectroscopy: The Key to Rapid, Reliable Petrophysical Answers: Oilfield Review, 17(2), 14–33.Google Scholar
  4. Dunn, W. L., and Shultis, J. K., 2012, Exploring Monte Carlo methods: Academic Press, USA, 269–305.CrossRefGoogle Scholar
  5. Dupree, S. A., and Fraley, S. K., 2002, A monte carlo primer — A practical approach to radiation transport: Kluwer Academic/Plenum Publishers, New York, 1–10.CrossRefGoogle Scholar
  6. Feng, Z., Li, X. T., Wu, H. L., Xia, S. J., and Liu, Y. M., 2014, Multimineral optimization processing method based on elemental capture spectroscopy logging: Applied Geophysics, 11(1), 41–49.CrossRefGoogle Scholar
  7. Galford, J., Truax, J., Hrametz, A., and Haramboure, C., 2009, A new neutron-induced gamma-ray spectroscopy tool for geochemical logging: SPWLA 50th Annual Logging Symposium, Woodlands. Texas, United States, June21–24.Google Scholar
  8. Grau, J. A., and Schweitzer, J., 1988, Elemental concentrations from thermal capture gamma-ray spectra in geological formations:American Nuclear Society annual meeting, San Diego, CA (USA), 12–16 Jun.Google Scholar
  9. James, G., Jerome, T., Andy, H., et al., 2009, A new neutron-induced gamma-ray spectroscopy tool for geochemical logging: SPWLA 50th Annual Logging Symposium, Woodlands. Texas, United States, June 21–24.Google Scholar
  10. Jiang, L. H., Song, C. K., Zheng, J., Ping, C. H., and Zheng, L., 2006, Performence of BGO crystal: Journal of Jishou University (in Chinese), 29(5), 58–60.Google Scholar
  11. Koizumi, C. J., 2007, Neutron capture logging calibration and data analysis for environmental contaminant assessment: Journal of Applied Geophysics, 61(2), 111–131.CrossRefGoogle Scholar
  12. Li, P. L., Chen, D. X., and Pang, X. Q., 2002, Research progress and prospect about origin mechanism of lithologic deposit: Petroleum Geology and Recovery Efficiency(in Chinese), 9(5), 1–3.Google Scholar
  13. Lv, H. J., Cai, K., Jiao, Z., et al., 2006, Performence of BGO crystal: Journal of Jishou University (in Chinese), 29(5), 58–60.Google Scholar
  14. Wu, H. L., Li, N., Lan, C.L., Kong, X. Z., and Chai, H., 2013, Standard spectrum measurement and simulation of elemental capture spectroscopy log: Applied Geophysics, 10(1), 109–116.CrossRefGoogle Scholar
  15. Zhang, F., Tian, L. L., Liu, J. T., Wang, X. G., and Zhang, Q. Y., 2016, Numerical simulation on detector response in formation element logging: Atomic Energy Science and Technology (in Chinese), 50(11), 2067–2074.Google Scholar

Copyright information

© The Editorial Department of APPLIED GEOPHYSICS 2019

Authors and Affiliations

  • Chang-Lin Lan
    • 1
    Email author
  • Xu-Wen Zhan
    • 1
  • Hong-Liang Wu
    • 2
  • Yi Zhang
    • 1
  • Tong Liu
    • 1
  • Zhou Feng
    • 2
  • Tao Lv
    • 1
  1. 1.School of Nuclear Science and TechnologyLanzhou UniversityGansuChina
  2. 2.Research Institute of Petroleum Exploration and DevelopmentBeijingChina

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