Haibin Di, Ph.D.
ABOUT ME
With passions in the subsurface, I'm devoting myself to offering innovations in machine learning-assisted subsurface data analysis for 3D seismic interpretation and site characterization with applications to both O&G and new energy.
CONTACT ME
EDUCATION
2008 - 2011
Institute of Geophysics, China Earthquake Administration, Beijing, China
M.S. in Geophysics/Seismology
WORKING EXPERIENCES
June 2016 - May 2018
Georgia Institute of Technology, Atlanta, Georgia, USA
Post-doctoral Fellow in Applied Geophysics
January 2016 - May 2016
West Virginia Wesleyan College, Buckhannon, West Virginia, USA
Adjunct Instructor in Petroleum & Natural Gas Geophysics
May 2015 - August 2015
Chevron, Houston, Texas, USA
Earth Science Intern in Seismic Fault Interpretation R&D
May 2014 - August 2014
Schlumberger, Houston, Texas, USA
Geophysical Intern in Seismic Attribute Analysis & Modeling
May 2013 - August 2013
dGB Earth Sciences, Sugar Land, Texas, USA
Geoscientific Intern in Seismic Fault Detection
Services & Activities
2021 - Present Member of SEG Research Committee
​2022 - Present Associate Editor of IEEE Geoscience and Remote Sensing Letter
2022 - 2023 Organizing Committee of SEG-AAPGIMAGE Post Convention Workshops
2022 - 2023 Member of SEG-AAPG IMAGE Technical Committee
​2018 - 2022 Guest Associate Editor of Interpretation (SEG/AAPG), Geophysical Prospecting (EAGE) and Geophysics (SEG)
2020 - 2022 Organizing Committee of SEG SRW: Data analytics and machine learning for E&P
2019 - 2022 Editor of Elsevier Book "Advances in subsurface data analytics: Traditional and physics-based machine learning"
2020 - 2021 Volume Editor of SEG Book: Intelligent data analysis for resource development​