The University of Texas at Austin
University Station, Box X
Austin, Texas 78713-8924
Research Interests
- Integrated oil and gas reservoir analysis
- Computer numerical modeling of multiphase fluid flow
- Artificial intelligence and big data analysis
Researcher ID
Shuang Gao | Professional Profile
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Google Scholar
Education
M.S. Petroleum Engineering, The University of Texas at Austin, 2015
M.S. Electronic Engineering, Tsinghua University, China, 2004
B.S. Electronic Engineering, Tianjin University, China, 2001
Professional History
Research Scientist Associate, Bureau of Economic Geology, UT Austin, from 2017
Graduate Research Assistant, Bureau of Economic Geology, UT Austin, 2014 – 2015
Design Leader/Development Manager, Wisenergy Technology Co., Ltd, China, 2010 - 2011
Interpretation Engineer, Schlumberger Ltd, Beijing Geoscience Center, China, 2004 – 2010
Publications
Peer-reviewed articles
Chen, X, Gao, S., Kianinejad, A and DiCarlo, DA, 2017, Steady-state supercritical CO2 and brine relative permeability in Berea sandstone at different temperature and pressure conditions, Water Resources Research, v. 53, p. 6312-6321.
Gao, S., Sun, Y., Nicot, JP, 2016. Identification of a representative dataset for long-term monitoring at the Weyburn CO2-injection enhanced oil recovery site, Saskatchewan, Canada. International Journal of Greenhouse Gas Control, v. 54, p. 454-465.
Nicot, JP, Sun, Y.,Gao, S., 2016. Identification of a minimum dataset for CO2-EOR monitoring at Weyburn, Canada. 13th International Conference on Greenhouse Gas Control Technologies, GHGT-13, 14-18 November 2016, Lausanne, Switzerland.
Xu, C., Torres-Verdín, C., andGao, S., 2013. Interpretation of hydraulic rock types with resistivity logs in Tertiary deepwater turbidite reservoirs: pore-scale modeling verified with field observations in the Gulf of Mexico, U.S. SEG Interpretation, v. 1, I. 2, T177-T185.
Abstracts and Presentations
Nicot, JP, Gao, S., Dommisse, R., and Hennings, P., 2017, Basin-scale hydrogeological modeling of the Fort Worth Basin Ellenburger Group for pore pressure characterization, 2017 Fall Meeting, AGU, New Orleans, LA, 11-15 Dec.
Xu, C., Torres-Verdín, C., and Gao, S., 2013. Electrical vs. hydraulic rock types in Tertiary deepwater turbidite reservoirs: pore-scale modeling verified with field observations in the Gulf of Mexico, U.S. SEG 2013 Annual Conference, Houston.
Gao, S., Neville, T., Hochart, P., 2007. Reducing Petrophysical Uncertainty with Measurements, Schlumberger Asian-Pacific Reservoir Symposium, Oct 2007, Beijing, China.
Gao, S., Zhang, X.J., Sun, W.D., 2004. Lossless inter-array predictive coding for subpixelshifted satellite images based on texture analysis, Geoinformatics, June 2004, Gävle, Sweden.
Certificates
Coursera Certificate for Machine Learning of Stanford, Dec 2016
edX Certificate for CS1156x: Learning From Data (Machine Learning) of Caltech, Dec 2016
Computer Skills
CMG, COMSOL, Techlog, Interactive Petrophysics (IP), KAPPA Ecrin, GeoFrame, ECLIPSE Compositional Simulation&FrontSim, Insitu Pro, PETREL Reservoir Engineering, PVTSim, ELAN/LabVIEW, ImageJ/Tableau/SGEMS
C#/Java/C++/Fortran/Perl/Matlab/R/Python/Mathematica/MS SQL/ on Windows & Ubuntu Linux programming/Mindjet/UML/RUP
