Summary
Prof. NIE Xin is a distinguished Professor and Head of the Department of Well Logging Information Engineering at Yangtze University. With a strong foundation in geophysical and logging sciences, he is a master supervisor and an accomplished scholar in the field of digital rock physics, unconventional reservoir evaluation, and pulsed neutron logging. His career spans innovative research, high-impact teaching, and notable academic contributions both in China and internationally.
Education
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B.E. in Prospection Technology and Engineering, China University of Petroleum, Beijing (2005.9–2009.6)
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Ph.D. in Geodetection and Information Technology, China University of Geosciences, Beijing (2009.9–2014.6)
Professional Experience
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Lecturer, Yangtze University (2014.7–2019.1)
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Visiting Scholar, Georgia Institute of Technology (2017.2–2018.2)
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Associate Professor, Yangtze University (2019.1–2024.12)
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Professor, Yangtze University (2024.12–Present)
Research Interests
Academic Positions
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Executive Member, SPWLA SW China Chapter
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Life Member, Chinese Geophysical Society
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Young Editorial Member: Advances in Geo-Energy Research, Journal of Xi’an Shiyou University, Journal of Yangtze University
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Executive Editor: Petroleum Science Bulletin
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Special Guest Editor: Processes
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Reviewer for SCI journals including Interpretation and Petroleum Science
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Review Expert, National Natural Science Foundation of China
Honors and Awards
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Instructor, First Prize Team, National Logging Skills Competition (CNOOC Cup), 2015
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Yangtze University Excellent Head Teacher, 2018
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“Elite Talent”, Yangtze Talent Program, 2018
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6× Teaching Quality Excellence Awards, Yangtze University (2019–2024)
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Third Prize, Science and Technology Progress of Hubei Province, 2020
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Second Prize, China Petroleum & Chemical Automation Application Association, 2021
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Ren Dalong Teaching Award, 2023
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Excellent Postgraduate Tutor, 2023
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Outstanding Winner, National Young Teachers Logging Teaching Competition, 2024
Courses Taught
Research Achievements
Prof. NIE has led or participated in numerous national and ministry-level projects, published over 30 academic papers, and developed novel evaluation models and software tools. Key contributions include:
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Mathematical and AI-based multi-component, multi-scale shale core modeling
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Analysis of conductivity and elasticity in shale, coal, and carbonates
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New TOC and oil/gas content evaluation models for shale reservoirs
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Wellbore porosity spectrum modeling via ultrasonic imaging
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Development of pulsed neutron full energy spectrum processing software
Selected Patents
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Detection method for adsorbed gas in shale gas reservoirs (ZL202110242427.2)
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Oil content evaluation using logging data in shale oil reservoirs (ZL202110785316.6)
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Enhanced method for oil content calculation using logging data (ZL202010897610.1)