ZHANG Guangzhi

By  Kaifei He    2018-04-25    Visited 363 times

Personal Information


Prof. Dr. ZHANG Guangzhi

Professor in Geophysics

Associate Dean of Faculty

PhD supervisor


Department of Geophysics

School of Geosciences

China University of Petroleum

Address: NO.66, Changjiang West Road, Huandao, Qingdao, 266580, China.

Tel.: +86-532-86981872(Office),+86-15953229862MobileFax.: +86-532-86981878

Email: zhanggz@upc.edu.cn

Web: http://www.scholarmate.com/psnweb/outside/homepage?des3PsnId=k%2By%2BHpfOQiX2SXfc9bEg9A%3D%3D



Expertise Areas

Seismic rock physics

Reservoir geophysics

Seismic data preconditioning and interpretation

Full waveform inversion


Education

2003-09 to 2008-7         University of Chinese Academy of Sciences, Beijing, China

  PhD(Geophysics)

1997-09 to 2000-07       China University of Petroleum (East China), Dongying,China

  Master(Geophysics)

1989-09 to 1993-07       China University of Petroleum (East China), Dongying,China

  Bachelor(Geophysics)


Employment

2011-12 to present         China University of Petroleum (East China), Qingdao, China

  Professor(Geophysics)

2005-07 to 2011-12       China University of Petroleum (East China), Qingndao,China

  Assistant Professor (Geophysics)

1998-12 to 2005-7         China University of Petroleum (East China), Dongying,China

  Lecturer(Geophysics)

1993-07 to 1998-12       China University of Petroleum (East China), Dongying,China

  Teaching Assistant (Geophysics)


Courses Offered

Signal analyzing and processing

seismic exploration

Principles and interpretation of seismic exploration

Reservoir Geophysics

Seismic data processing method

Modern signal analysis

Clanguage programming

Introduction of Computer Technology

Seismic data interpretation comprehensive training


Funding and Projects

2017-01 to 2020-12         National Natural Science Foundation of China, NO. 41674130

    Title:Studyon the seismic inversion for effective geostress distribution inshale gas reservoir

2014-01 to 2018-12         National Basic Research Program of China (973 Program),NO. 1401234598

   Title:Seismic identification and prediction in high quality shale gasreservoir

2016-01 to 2020-12         National Oil and Gas Major Project of China, NO.2016ZX05002-005-09HZ

   Title:Seismic anisotropy inversion based on Zoeppritz equation approximation

2016-01 to 2020-12         National Oil and Gas Major Project of China, NO.2016ZX05027-004-001

   Title:Characterization of seismic information of "sweet spot" indeep and thick reservoir

2011-01 to 2015-12         National Oil and Gas Major Project of China, NO.2011ZX05014-001-010HZ

   Title:Study on the prestack inversion for fluid identification in fractureand cave reservoir

2011-01 to 2013-12         CNPC Science and Technology Innovation Foundation, NO.1401234598

   Title:Establishment of rock physical model of carbonate reservoir andstudy of fluid identification method


Representative Publications

[1].ZhangG Z,Bing Yi D U, Hai Shan L I, et al. The method of joint pre-stackinversion of PP and P-SV waves in shale gas reservoirs[J]. Chinese Journal of Geophysics- Chinese Edition, 2014, 57(12): 4141-4149.(SCI,IF=0.795)

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

[3].ZhangG Z,Chen H Z, Wang Q. Estimation of S-wave velocity and anisotropicparameters using fractured carbonate rock physics model[J]. Chinese Journal of Geophysics- Chinese Edition, 2013, 56(5): 1707-1715.(SCI,IF=0.795)

[4].ZhangG 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. (SCI,IF=0.795)

[5].ZhangGuangzhi,Pan Xinpeng, Sun Changlu, et al. Seismic fluid identification usinga nonlinear elastic impedance inversion method based on a fast Markov chain Monte Carlo method[J]. Pet. Sci., 2015, 12: 406-416.(SCI,IF=1.323)

[6].Chen Huaizhen, ZhangGuangzhi,Chen Jiaojiao, et al. Fracture filling fluids identification usingazimuthally elastic impedance based on rock physics[J]. Journal ofApplied Geophysics. 2014, 110: 98-105. (SCI,IF=1.347)

[7].Chen H, ZhangG,Ji Y, & Yin, X. Azimuthal seismic amplitude difference inversionfor fracture weakness[J]. Pure and Applied Geophysics, 2017, 174,279-291. (SCI,IF=1.591)

[8].Chen H, and Zhang G.Estimation of Dry Fracture Weakness, Porosity, and Fluid ModulusUsing Observable Seismic Reflection Data in a Gas-Bearing Reservoir[J]. Surv Geophys, 2017, 38, 651. (SCI,IF=4.413)

[9].Chen Huaizhen, Yin Xingyao, Qu Shouli, ZhangGuangzhi.AVAZ inversion for fracture weaknesses parameters based on rockphysics model[J]. Journal of Geophysics and Engineering, 2014, 11(6): 065007. (SCI,IF=0.994)

[10].Chen Huaizhen, Yin Xingyao, Gao Jianhu, ZhangGuangzhi.Seismic inversion for underground fractures detection based oneffective anisotropy and fluid substitution[J]. SCIENCE CHINA EarthSciences, 2015, 58: 805. (SCI,IF=1.989)

[11].Chen H Z, Yin X Y, Gao C G, ZhangG Z,Chen J J. AVAZ inversion for fluid factor based on fractureanisotropic rock physics theory[J]. Chinese Journal of Geophysics-Chinese Edition, 2014, 57(3):968-978. (SCI,IF=0.795)

[12].Chen H Z, Yin X Y, Qiang Z J, ZhangG Z.Seismic inversion for fracture rock physics parameters using azimuthally anisotropic elastic impedance[J]. Chinese Journal of Geophysics- Chinese Edition, 2014, 57(10):3431-3441. (SCI,IF=0.795)

[13].Huaizhen Chen, Xinpeng Pan, GuangzhiZhang,et al. Bayesian Markov Chain Monte Carlo inversion for weak anisotropy parameters and fracture weaknesses using azimuthalelastic impedance. Geophysical Journal International, 2017, 210,801-818 (SCI,IF=2.414)

[14].Chen H., ZhangG.,Chen T. and Yin X. Joint PP- and PSV-wave amplitudes versus offsetand azimuth inversion for fracture compliances in horizontal transversely isotropic media[J]. Geophysical Prospecting, 2018,66(3), 561-578 (SCI,IF=1.846)

[15].Chen H., and ZhangG.Detection of natural fractures from observed surface seismic databased on linear-slip model[J]. Pure and Applied Geophysics, 2018(SCI,IF=1.591)

[16].Pan, X., G.Zhang,and X. Yin. Azimuthally anisotropic elastic impedance inversion forfluid indicator driven by rock physics[J]. Geophysics, 2017, 82,C211-C227. (SCI,IF=2.391)

[17].Pan, X., G.Zhang,H. Chen, and X. Yin. Elastic impedance parameterization andinversion for fluid modulus and dry fracture quasi-weaknesses in agas-saturated reservoir[J]. Journal of Natural Gas Science andEngineering, 2018, 49, 194-212. (SCI,IF=2.718)

[18].Pan, X., G.Zhang,and X. Yin. Azimuthal Seismic Amplitude Variation with Offset andAzimuth Inversion in Weakly Anisotropic Media with Orthorhombic Symmetry[J]. Surveys in Geophysics, 2018, 39, 99-123. (SCI,IF=4.413)

[19].Pan, X., G.Zhang,and X. Yin. Azimuthally pre-stack seismic inversion for orthorhombicanisotropy driven by rock physics[J]. SCIENCE CHINA Earth Sciences,2018. (SCI,IF=1.989)

[20].Xinpeng Pan, Guangzhi Zhang,Huaizhen Chen, et al. McMC-based AVAZ direct inversion for fracture weaknesses[J]. Journal of Applied Geophysics, 2017, 138: 50-61.(SCI,IF=1.347)

[21].Xinpeng Pan, GuangzhiZhang,Huaizhen Chen, et al. McMC-based nonlinear EIVAZ inversion driven byrock physics[J]. Journal of Geophysics and Engineering, 2017, 14:368-379. (SCI,IF=0.994)

[22].Xinpeng Pan, Guangzhi Zhang,Jiajia Zhang, et al. Zoeppritz-based AVO inversion using an improved Markov chain Monte Carlo method[J]. Pet. Sci., 2017, 14: 75-83.(SCI,IF=1.323)

[23].Pan Xinpeng, Zhang Guangzhi,Song Jiajie, et al. Robust elastic impedance inversion using L1-normmisfit function and constraint regularization[J]. J. Cent. SouthUniv., 2017, 24: 227-235. (SCI,IF=0.601)

[24].Xinpeng Pan, GuangzhiZhang,Xingyao Yin. Estimation of effective geostress parameters driven byanisotropic stress and rock physics models with orthorhombic symmetry[J]. Journal of Geophysics and Engineering, 2017, 14,1124-1137. (SCI,IF=0.994)

[25].Xinpeng Pan, Guangzhi Zhang,Huaizhen Chen, and Xingyao Yin. Elastic impedance parameterizationand inversion in a vertical, rotationally invariant fractured HTI medium[J]. Journal of Seismic Exploration, 2017. (SCI,IF=0.549)

[26]Pan X, ZhangG,Yin X. Seismic scattering inversion for anisotropy in heterogeneous orthorhombic media[J]. Chinese Journal of Geophysics- Chinese Edition, 2018, 61(1): 267-283. (SCI,IF=0.795)

[27]Pan X, ZhangG,Yin X. Probabilistic seismic inversion for reservoir fracture andpetrophysical parameters driven by rock-physics models[J]. Chinese Journal of Geophysics- Chinese Edition, 2018, 61(2): 683-696. (SCI,IF=0.795)

[28]Zhang Guangzhi,Pan Xinpeng, Sun Changlu, Yin Xingyao. PP- & PS-wave prestacknonlinear inversion based on adaptive MCMC algorithm. OGP, 2016,51(5): 938-946. (EI)

[29]Zhang Guangzhi,Chen Jiaojiao, Chen Huaizhen, Zhang Jinqiang, Yin Xingyao.Quantitative Interpretation of Carbonate Gas Reservoir Based on Rock Physics Template. Journal of Jilin University(Earth ScienceEdition), 2015, 45(2): 630-638.

[30]Zhang Guangzhi,Du Bingyi, Chen Huaizhen, Gao Jianhu, Li Chao, Li Yuan. JointInversion of PP and PS Waves Elastic Impedance. Journal of  Jilin University(Earth Science Edition), 2014, 44(5): 1695-1704.

[31]Zhang Guangzhi,Zheng Jingjing, Wang Yumei, Niu Xuemin, Yin Xingyao. AVOapproximation and attribute extraction based on the incident angle.OGP, 2012, 47(4): 578-583.(EI)

[32]Zhang Guang-zhi,Li Cheng-cheng, Yin Xing-yao, Zhang Jin-qiang. A shear velocityestimation method for carbonate rocks based on the improved Xu-Whitemodel. OGP, 2012, 47(5): 717-722.(EI)

[33]ZHANG Guang-zhi,CHEN Huai-zhen,YIN Xing-yao, et al. Method of Fracture Elastic ParameterInversion Based on Anisotropic AVO[J]. J4, 2012, 42(3): 845-851.

[34]Zhang GZ,Ning L I, Chao L I, et al. Spectral Inversion Based on Very FastSimulated Annealing Algorithm[J]. Northwestern Seismological Journal, 2012, 34(4): 313-323.

[35]Zhang Guang-zhi,Zheng Jing-jing, Yin Xing-yao. Identification technology of fracturezone and its strike based on the Curvelet transform. OGP, 2011,46(5): 757-762.(EI)

[36]Zhang GZ,Wang D Y, Yin X Y. Seismic parameter estimation using Markov ChainMonte Carlo Method[J]. Oil Geophysical Prospecting, 2011,46(4):605-609.(EI)

[37]Zhang GZ,Liu H, Yin X Y, et al. Collation method research of acoustic loggingdata in seismic interpretation[J]. Progress in Geophysics, 2011,26(6):2055-2063.

[38]Zhang Guangzhi,Chang Dekuan, Wang Yihui, Li Zhenzhen, Zhao Yang, Yin Xingyao. 3D seismic random noise suppression with sparse and redundant representation. OGP, 2015, 50(4): 600-606.(EI)

[39]Zhang G,Jiang L, Sun C, et al. The stepped multi-parameter FWI of acousticmedia in time-domain by L-BFGS method with illumination analysis[J].Geophysical Prospecting for Petroleum, 2017, 56(1): 31-37

[40]Zhang Guangzhi,Sun Changlu, Pan Xinpeng, Chen Hongliang, Jiang Lanjie, Wen Tiemin.Acoustic full waveform inversion in the frequency domain based onfast conjugate gradient method. OGP, 2016, 51(4): 730-737.(EI)

[41]Zhang Guangzhi,Sun Changlu, Pan Xinpeng, et al. Influence Factors and Strategy ofInversion for Density of Acoustic Full Waveform Inversion withVariable Density[J]. Journal of Jilin University(Earth ScienceEdition), 2016, 46(5): 1550-1560.

[42].Pan X, Zhang G,Yin X. Bayesian Markov chain Monte Carlo inversion for anisotropy ofPP- and PS-wave in weakly anisotropic and heterogeneous media[J].Earthquake Science, 2017, 30(1): 33-46.

[43]ZHANG Guang-zhi,LI Zhen-zhen, ZHAO Yang et al .2015.The study of AVF inversion for Qvalue extraction. Progress in Geophysics, 30(5): 2293-2300.

[44]ZhangGuangzhi,Zhao Chen, Tu Qicui, Liu Jiang, Zhang Jiajia, Pei Zhonglin. Prestackstochastic inversion based on the quantum annealing Metropolis-Hastings algorithm. OGP, 2018, 53(1): 153-160.(EI)

[45]Zhao C, ZhangG,Cai H, et al. Elastic impedance stochastic inversion for P-wavemodulus based on FFT-MA simulation and VFQA algorithm[J].Geophysical Prospecting for Petroleum, 2018, 57(1): 129-139.

[46]Pan X, ZhangG.Seismic scattering inversion for fracture weaknesses inheterogeneous HTI media[J]. Shiyou Diqiu Wuli Kantan/oil GeophysicalProspecting, 2017, 52(6): 1226-1235.(EI)



Conferences Attended

2017-09, SEG Annual Convention & Exhibition 2017 (Oral Presentation), Houston, USA

2017-06, EAGE Annual Convention & Exhibition 2017 (Oral Presentation), Paris, France

2016-06, EAGE Annual Convention & Exhibition 2016 (Oral Presentation),Vienna, Austria

2015-10, SEG Annual Convention & Exhibition 2015 (Oral Presentation), NewOrleans, USA

2015-06, EAGE Annual Convention & Exhibition 2015 (Oral Presentation), Madrid, Spain

2014-10, SEG Annual Convention & Exhibition 2014 (Oral Presentation), LosAngeles, USA