Zhang Guangzhi

By  李勇    2024-09-20    Visited 10 times

Name:Guangzhi Zhang

Academic title: Professor

Research Area: Geophysics

Research Interests:

Seismic Rock Physics

Reservoir Geophysics

Seismic Inversion

Seismic data preconditioning and interpretation

Machine Leaning

Courses Offered

Signal Analyzing and Processing

Seismic Exploration

Principles and Interpretation of Seismic Exploration

Reservoir Geophysics


Scholarly Activities

-Publications

[1]Zhang G Z, Bing Yi D U, Hai Shan L I, et al. The method of joint pre-stack inversion of PP and P-SV waves in shale gas reservoirs[J] Chinese Journal of Geophysics- Chinese Edition, 2014, 57(12): 4141-4149.

[2]Zhang G Z, Chen J J, Chen H Z, et al. Prediction for in-situ formation stress of shale based on rock physics equivalent model[J] Chinese Journal of Geophysics- Chinese Edition, 2015, 58(6): 2112-2122. (SCI, IF=0.795)

[3]Zhang G Z, Chen H Z, Wang Q. Estimation of S-wave velocity and anisotropic parameters using fractured carbonate rock physics model[J] Chinese Journal of Geophysics- Chinese Edition, 2013, 56(5): 1707-1715.

[4]Zhang G Z, Wang D Y, Yin X Y, et al. Study on prestack seismic Inversion using Markov Chain Monte Carlo[J] Chinese Journal of Geophysics- Chinese Edition, 2011, 54(11): 2926-2932.

[5]Zhang Guangzhi, Pan Xinpeng, Sun Changlu, et al. Seismic fluid identification using a nonlinear elastic impedance inversion method based on a fast Markov chain Monte Carlo method[J] Pet. Sci., 2015, 12: 406-416.

[6]Chen H, and Zhang G. Estimation of Dry Fracture Weakness, Porosity, and Fluid Modulus Using Observable Seismic Reflection Data in a Gas-Bearing Reservoir[J] Surv Geophys, 2017, 38, 651.

[7]Huaizhen Chen, Xinpeng Pan, Guangzhi Zhang, et al. Bayesian Markov Chain Monte Carlo inversion for weak anisotropy parameters and fracture weaknesses using azimuthal elastic impedance. Geophysical Journal International, 2017, 210, 801-818

[8]Chen H., Zhang G., Chen T. and Yin X. Joint PP- and PSV-wave amplitudes versus offset and azimuth inversion for fracture compliances in horizontal transversely isotropic media[J] Geophysical Prospecting, 2018, 66(3), 561-578

[9]Chen H., and Zhang G. Detection of natural fractures from observed surface seismic data based on linear-slip model[J] Pure and Applied Geophysics, 2018

[10]Pan, X., G. Zhang, and X. Yin. Azimuthally anisotropic elastic impedance inversion for fluid indicator driven by rock physics[J] Geophysics, 2017, 82, C211-C227.