Qr code
中文
Wang Jinjie

Associate professor
Master Tutor


Gender : Female
Date of Birth : 1987-03-02
Alma Mater : China University of Petroleum (East)
Education Level : Doctoral Degree in Education
Degree : 博士学位
Status : Employed
School/Department : Faculty of Earth Resources
Date of Employment : 2017-01-01
Discipline : petroleum engineering
Business Address : 123 Main Building
Contact Information : Email: wangjinjie@cug.edu.cn; wangjinjie06-2@163.com
Email :
Click : times

The Last Update Time : ..

Personal Profile

Wang Jinjie, who joined China Univerisity of Geosciences in 2017, is the associate professor of CUG's Faculty of Earth Resources (FER). She studies technologies to enhancing hydrocarbon recovery from shale/hydrate reservoirs and reducing greenhouse gas emissions. Prior to joining FER, Wang was a research assistant in University of Calgary during her PhD. She is the host of one National Natural Science Foundation of China, one funding from Central Universities (China University of Geosciences (Wuhan), Natural Science Foundation of Hubei Province, one project from Jianghan Oil Field. The author or co-author of over 20 scientific publications, Wang is a member of Society of Petroleum Eneineering and InterPore.

Education Background

  • 2006.9 -- 2010.7

    China University of Petroleum (East)       petroleum engineering       Under postgraduate       学士学位

  • 2010.9 -- 2012.7

    China University of Petroleum (East)       petroleum engineering       转硕博连读       Master student

  • 2012.9 -- 2016.9

    China University of Petroleum (East)       petroleum engineering       Doctoral students are in graduate school       博士学位

Work Experience

  • 2017.1 -- Now

    China University of Geosciences      Faculty of Earth Resources      Associate Professor      在岗

Other Contact Information

  • ZipCode :

  • PostalAddress :

  • email :

Research Focus

  • I have focused on enhancing hydrocarbon recovery from shale and hydrate reservoirs. My research activities cover two different but complementary areas: (1) fluid flow anlysis considering adsorption and (2) CO2 injection to choosing best options for energy supplies while reducing greenhouse gas.