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Details of the Faculty or Staff
Name  
HUO Shoudong
Title  
  Professor
Highest Education  
  Ph.D.
Subject Categories  
  Exploration Geophysics
Phone  
  -
Zip Code  
  100029
Fax  
  010-62010846
Email  
  Huoshoudong[a]mail.iggcas.ac.cn
Office  
  N/A

Education and Appointments:
  • 1997 – 2001 Tsinghua University, Bachelor
  • 2001 – 2004 Sony Sobey Research Center, Software Engineer
  • 2004 – 2007 Imperial College London, Ph.D.
  • 2007 – 2008 CGG company, Crawley, UK, Research Geophysicist
  • 2008 – 2015 Saudi Aramco, Research Geophysicist
  • 2015 – Institute of Geology and Geophysics, Chinese Academy of Science, Professor in Geophysics

Research Interests:
  1. Application of artificial intelligence in exploration geophysics
  2. Compressed sensing seismic exploration
  3. Seismic While Drilling
  4. Numerical simulation and FWI
  5. Seismic data inversion based on deep learning
  6. Seismic data processing
  7. Urban underground space exploration
Public Services:

Honors:

Supported Projects:
  1. National Natural Science Foundation of China: Research on comprehensive prediction method of relative permeability curve based on deep learning, (2021-2021).
  2. National Natural Science Foundation of China: Crosstalk attenuation of high efficiency seismic acquisition with the existence of statics, (2016-2019).
  3. Strategic Priority Research Programs (Category A) of Chinese Academy of Science: Seismic guided drilling technique, (2017-2021).
  4. Research project of Southern Marine Science And Engineering Guangdong Laboratory(Zhanjiang): Research on key technologies of efficient offshore acquisition, (2019-2021).
  5. Research project of Shengli oil field exploration and Development Research Institute: Research on relative permeability curve prediction method driven by logging data, (2020-2021).
  6. Research project of Bureau of Geophysical Prospecting INC.,China National Petroleum Corporation: Research on a sparse transformation method and data reconstruction technology, (2019-2020).
  7. Research project of Beijing Research Center of CNOOC China Limited: Fracture system identification of tight gas reservoir in Langanbao, (2018).
  8. Research project of Shengli Branch, Sinopec Geophysical Corporation: High efficiency seismic data acquisition and processin, (2016-2017).
  9. Research project of Shengli Branch, Sinopec Geophysical Corporation: Seismic geometry design method based on compressive sensing, (2017-2018).
  10. Research project of Shengli Branch, Sinopec Geophysical Corporation: Research on seismic data reconstruction based on compressive sensing, (2017-2018).

Publications:

  Patents

  1. Huo S. and Xu H. Frequency-varying filtering of simultaneous source seismic data. 2017.03.07, U.S. Patent No.: US9588241B2.
  2. Huo S., Pecholcs P.I., and Xu H. Coupled time-distance dependent swept frequency source acquisition design and data de-noising.2016.12.06, U.S. Patent No.: US9513389B2.
  3. Huo S. and Zhu W. Iterative dip-steering median filter for seismic data processing. 2016.08.30, U.S. Patent No: US9429668B2.
  4. Huo S., Xu H., Hu P. et al. Quantitative characterization method of growing fault activity intensity. Patent No.: ZL201611198747.8
  5. Huo S., Du X., Xu H. et al. A method for calibrating synthetic seismic data. Patent No.: 201711276470.0
  6. Lv G., Huo S., Lv Y. et al. Method for designing irregular geometry of seismic exploration based on compressive sensing. Patent No.: 201710700703.9

  Papers

  1. Shi T., Xu H., Huang L., Shu G., Gao Z., Huo S.*, Progress in high-efficiency and high-precision separation of blended seismic data, Geophysical Prospecting for Petroleum, 2020, 59 (5): 703-712.
  2. Shu G., Shi T., Huang L., Gao Z., Lv G., Di Z., Huo S.*, Compressive seismic data acquisition in a desert area of western China: A case study. The Leading Edge, 2020, 39(5): 340-344.
  3. Zhou P., Xiao X., Tao J., Liu F., Liang Y., Huo S.*, Shu M., Diffraction information extraction and its application to the identification of tight sandstone fracture systems, Geophysical Prospecting for Petroleum, 2020, 59(2):276-282.
  4. Shi T., Huo S.*, Complex semblance and its application. Journal of Earth Science, 2019, 30(4): 849-852.
  5. Shu G., Shi T., Du X., Xu H. and Huo S.*, Simultaneous sources deblending via frequency-varying filter in cross-spread azimuth-offset domain, Studia Geophysica et Geodaetica, 2018, 62(4): 628-659.
  6. Zhou S., Huo S., Hu L., et al., Denoising for seismic data from vibroseis independent simultaneous sweeping. Geophysical Prosepecting for Petroleum, 2018, 57(5): 691-696.
  7. Zhou S., Lv Y., Lv G., Shu G., Shi T., Huo S.*, Irregular seismic geometry design and data reconstruction based on compressive sensing. Geophysical prospecting for Petroleum, 2017, 56(5): 617-625.
  8. Huo S., Zhu W. and Shi T., Iterative dip-steering median filter. Journal of Applied Geophysics, 2017, 144: 151-156.
  9. Huo S. Adaptive local frequency. Geophysics, 2015, 80(5), V115-V118.
  10. Huo S., Luo Y. and Kelamis P.G., Simultaneous sources separation via multidirectional vector-median filtering. Geophysics, 2012 77, 123-131.
  11. Huo S., Tsingas C. and Kelamis P.G., Pecholcs P.I. and Xu H., Unconstrained simultaneous source land data processing. Geophysical Prospecting, 2012, 60, 608-617.
  12. Huo S. and Wang Y., Improving adaptive subtraction in seismic multiple attenuation. Geophysics, 2009, 74, 59-67.
  13. Luo Y., Kelamis P.G., Fu Q., Huo S., Sindi G., Hsu S. and Weglein A.B., Elimination of land internal multiples based on the inverse scattering series. The Leading Edge, 2011, 30, 884-889.
 
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