Dr Fei Tian, Institute of Geology and Geophysics, Chinese Academy of Sciences, China
Fei Tian, an Associate Senior at the Institute of Geology and Geophysics, Chinese Academy of Sciences, specializes in petroleum geosciences and engineering. He holds a Bachelor’s degree in Exploration Technology and Engineering and a Ph.D. in Geological Resources and Geological Engineering from China University of Petroleum (East China). With a robust research portfolio, Fei has extensively contributed to geologically constrained well logging, high-precision seismic prediction, and 3D modeling of deep reservoirs. His innovative work on the development of downhole multi-electromagnetic coil information transmission equipment and intelligent drilling systems has significantly advanced the field. Fei has collaborated with Imperial College London and holds memberships in professional organizations such as AAPG, SEG, and SPE. He has authored 45 SCI/Scopus-indexed journal articles, published a book, and holds 21 patents, marking him as a leading figure in his domain.
Publication Profile
Orcid
Education
Fei Tian’s educational journey began at China University of Petroleum (East China), where he pursued a Bachelor’s degree in Exploration Technology and Engineering. He continued his academic endeavors at the same institution, earning a Ph.D. in Geological Resources and Geological Engineering in 2014. His doctoral research focused on advanced geological engineering techniques and their applications in the petroleum industry. Following his Ph.D., Fei joined the Institute of Geology and Geophysics, Chinese Academy of Sciences, as a postdoctoral researcher, where he further honed his expertise in geophysical exploration and reservoir modeling. His academic background laid a solid foundation for his subsequent research and professional achievements, making him a respected authority in petroleum geosciences and engineering. Fei’s commitment to continuous learning and innovation is evident through his extensive research and contributions to the field.
Experience
Fei Tian’s professional experience spans over a decade, primarily at the Institute of Geology and Geophysics, Chinese Academy of Sciences, where he currently serves as an Associate Senior. From 2014 to 2019, he worked as a postdoctoral researcher at the same institute, focusing on geophysical exploration and reservoir characterization. His work has been pivotal in developing high-precision seismic prediction methods, 3D modeling of deep reservoirs, and intelligent drilling systems. Fei has successfully led multiple research projects and industry consultancies, significantly impacting the field of petroleum geosciences. He has published 45 journal articles, holds 21 patents, and has been an editorial board member for prestigious journals like “China’s Offshore Oil and Gas” and “Petroleum Geophysical Exploration.” His collaborations with international institutions, including Imperial College London, highlight his global influence and dedication to advancing geoscientific research.
Research Focus
Fei Tian’s research focuses on multi-scale identification and evaluation of deep-ultra deep reservoirs, integrating geological patterns, high-precision geophysical exploration, and three-dimensional reservoir modeling. He has pioneered the development of downhole multi-electromagnetic coil information transmission equipment and intelligent drilling systems, enhancing the accuracy of real-time geological guidance during drilling. Fei’s innovative target prediction and precision navigation technology have been iterated in various oil and gas basins, transforming complex reservoirs from “visible but untouchable” to “clearly visible and accurately hit.” His research has significantly contributed to the advancement of closed-loop geological guidance systems, providing theoretical and technical support for intelligent drilling operations. Fei’s work not only improves the efficiency and accuracy of petroleum exploration but also sets new standards for integrating geophysical and geological data in reservoir characterization.
Publication Top Notes
📝 “Logging Lithology Discrimination with Enhanced Sampling Methods for Imbalance Sample Conditions” (DOI: 10.3390/app14156534)
🌊 “Application of Geologically Constrained Machine Learning Method in Characterizing Paleokarst Reservoirs of Tarim Basin, China” (DOI: 10.3390/w12061765)
🛢️ “Hydrothermal Dolomite Paleokarst Reservoir Development in Wolonghe Gasfield, Sichuan Basin, Revealed by Seismic Characterization” (DOI: 10.3390/w12020579)
🌍 “Multiscale geological-geophysical characterization of the epigenic origin and deeply buried paleokarst system in Tahe Oilfield, Tarim Basin” (DOI: 10.1016/j.marpetgeo.2018.12.029)
🔬 “Spectral Decomposition and a Waveform Cluster to Characterize Strongly Heterogeneous Paleokarst Reservoirs in the Tarim Basin, China” (DOI: 10.3390/w11020256)