Guo Tao

Guo Tao

Professor, Department of Earth Sciences

Telephone: +971 (0)2 60 75497



DR Tao has been a dedicated teacher and researcher in the field of borehole geophysics, petrophysics and formation evaluation for 30 years. He is currently a professor in the Dept. of petroleum at PI, Abu Dhabi, UAE. Before he join in PI, he had been a professor of geophysics and well logging at China University of Petroleum (CUPB) since January of 1997. He had been a visiting professor at the Dept. of geology and geophysics, university of Calgary during 2002 and a senior academic visitor at dept. of geophysics in Stanford University during May to October of 2004. Before the professor position at CUPB he had worked as a postdoctoral associate at MIT for two and a half years. He received his PhD in applied geophysics and petrophysics from Imperial College London in 1992.

DR Tao has been teaching undergraduate courses in borehole geophysics, petrophysics and formation evaluation for geosciences and petroleum engineering programs for more than 20 years. As an associate director of China National Petroleum Cooperation (CNPC) Key Laboratory of Well Logging Technology and the Laboratory of Fiber Optical Sensing Technology and a leader of projects, DR Tao has worked on many research projects of seismic, well logging and core measurements, data processing, modeling and interpretation for development of digital rock physics to investigate the properties of reservoir rocks and acoustic reflection logging for imaging geological structures near the well bore. He has published over 100 papers in scientific and technology journals, achieved 5 patents and 4 software registrations in China. He was awarded as China State Council Outstanding Contribution Expert; China Petroleum and Chemical Industry Federation Scientific Progress Award 1st class in2010; Geological Society of China 10 Best Scientific Advances Award in 2011; Society of Core Analysts Award for Outstanding Contribution in 2011&2012, China National Petroleum Corporation Scientific Progress 1st class in 2012, China National Science and Technology Progress Award 2nd prize in 2014. DR Tao has been an active Member of SEG, SPE, SCA, SPWLA and EAGE. Currently his research interests mainly focus on rock physics, borehole geophysics and their applications to petroleum engineering and geology.

  • 1992   PhD (Geophysics and Petrophysics), Imperial College, London, United Kingdom
  • PGEG318 Rock mechanics & Reservoirs
  • PGEG401 Petrophysics & Well logging
  • PGEG371Data Analysis & Geostatistics
  • PEEG314 Well logging
  • PEEG539 Advanced well logging.
  • General teaching interests: Rock physics, Borehole geophysics, applied geophysics.
  • Rock physics
  • Borehole geophysics
  • Petrophysics

Selected Publications in the past 5 years


J. Li, K.A. Innanen and  G. Tao, “Extraction of reflected events from sonic-log waveforms using the Karhunen-Loève transform,“ Geophysics, Vol. 82(5) , pp. D265-D277, 2017

DOI: 10.1190/GEO2017-0031.1

J. Li, K.A. Innanen, G. Tao, K. Zhang and L. Lines,“Wavefield simulation of 3D borehole dipole radiation,“ Geophysics, Vol. 82 (3) , pp. D155-D169, 2017.

DOI: 10.1190/GEO2016-0145.1

H. Sun, G. Tao*, S. Vega and A. Al-Suwaidi, “Simulation of Gas Flow in Organic-Rich Mudrocks Using Digital Rock Physics,” Journal of Natural Gas Science & EngineeringVol. 41, pp.17-29, 2017

H. Sun, S. Vega  and G. Tao*, “Analysis of heterogeneity and permeability anisotropy in carbonate rock samples using digital rock physics,“   Journal of Petroleum Science and Engineering, Vol.156,  pp. 419-429, 2017

Li, M. Y. Ali, G. Tao, W. Alakberi aand Haya Alnuaimi, ”Monitoring of induced microseismicity in an onshore oilfield from AbuDhabi, United Arab Emirates: Implications for carbonate reservoir monitoring,” Journal of Petroleum Science and Engineering, Vol. 152,pp.33-48, 2017

H. Wang, GTao, and X. Shang, “Understanding acoustic methods for cement bond logging,” J. Acoust. Soc. Am., vol.139 (5), pp. 2407-2416, 2016.

Li, M., G. Tao, H, Wang, K. Zhang and S. Vega, “An Improved Multiscale and Leaky P-Wave Removal Analysis for Shear-Wave Anisotropy Inversion with Crossed-Dipole Logs,” Petrophysics, vol. 57(3), pp. 270–293, 2016.

H. Wang, M.C Fehler, G. Tao and Z. Wei, “Investigation of collar properties on data-acquisition scheme for acoustic logging-while-drilling,” Geophysics, vol. 81(6), pp. D611–D624, 2016.

doi: 10.1190/GEO2016-0016.1.

H. Wang, G. Tao and M.C. Fehler, “Investigation of the high-frequency wavefield of an off-center monopole acoustic logging-while-drilling tool,” Geophysics, vol. 80(4), pp. D329–D341, 2015.

doi: 10.1190/GEO2014-0426.1.

H. Wang,G. Tao and X. Shang, “A method to determine the strike of interface outside of borehole by monopole borehole acoustic reflections, “Journal of Petroleum Science and Engineering, vol. 133, pp. 304–312, 2015.


W. Li, G. Tao, P.J. Matuszyk and C. T. Verdín, “Forward and backward amplitude and phase estimation method for dispersion analysis of borehole sonic measurements,” Geophysics, vol. 80(3), pp. D295–D308, 2015.

doi: 10.1190/GEO2014-0298.1

J.X. Li, G. Tao, K. Zhang and B. Wang, “ An effective data processing flow for the acoustic reflection image logging,”  Geophysical Prospecting, vol. 62, pp. 530–539, 2014.

doi: 10.1111/1365-2478.12103

D. J. Di, G. Tao, B. Wang, X. Chen and J. Sun, , “Numerical analysis of the effects of downhole dynamic conditions on formation testing while drilling,” Petroleum Science, vol. 11, pp. 391-400, 2014.

doi: 10.1007/s12182-014-0353-2

W. Z. Yue and G. Tao, “A new non-Archie model for pore structure: numerical experiments using digital rock models,” Geophys. J. Int. vol. 195 (1), pp. 282-291, 2013.

doi: 10.1093/gji/ggt231

H. Wang, G. TaoG., X.F. Shang, X. Fang and D. Burns, “ The stability of Finite Difference numerical simulations of acoustic Logging-While-Drilling with different perfectly matched layer schemes,”  Applied Geophysics, Vol. 10(4), pp. 386-394, 2013


H. Wang, G. Tao and K. Zhang, “Wave field simulation and analysis with FEM for acoustic LWD in horizontal and deviated wells,” Geophysics, vol. 78(6), pp. D525 –D543, 2013.

doi: 1190/GEO2012-0542.1



G. TAO, 2006, Geophysical Well Logging Information Processing &Application, CUP PRESS,  ISBN 978-7-5636-2147-7