Professor in Well Logging
PhD supervisor
Department of Well Logging
School of Geosciences
China University of Petroleum
Address: NO.66, Changjiang West Road, Huandao, Qingdao, 266580, China.
Tel.: +86159 0542 7570 Fax.: +86-532-86981878
Email: fanyiren@upc.edu.cn
Expertise Areas
• Well logging theory and formation evaluation
• Fast forward modeling and inversion of electric logging measurements,logging while drilling electromagnetic measurement and geosteering application
• Interpretation of high angle and horizontal wells
• Theory and application of nuclear magnetic resonance logging
• Rockphysics and multi-scale rock physics experiments
Education
1997-09 to 2002-06 China University of Geosciences, Beijing, China
PhD(Mineralogy, petrology and mineral deposits)
1985-09 to 1988-06 China University of Petroleum, Dongying, China
Master(AppliedGeophysics)
1978-09 to 1982-06 China University of Petroleum, Dongying, China
Bachelor(Well logging)
Employment
1999-11 to present China University of Petroleum (East China), Qingdao, China
Professor(Well logging)
1994-11 to 1999-11 China University of Petroleum (East China), Qingdao,China
Associate Professor (Well logging)
1988-11 to 1994-11 China University of Petroleum (East China), Qingdao,China
Lecturer(Well logging)
Funding and Projects
2017-01 to 2020-12 National Natural Science Foundation of China,
Title:Numerical & Physical simulation of tri-axis induction logging response of small fracture-cave in karstic reservoir
2015-01 to 2018-12 National Natural Science Foundation of China,
Title:Researchon three dimensional resistivity logging foundation for fracturedand cavern reservoirs
2013-01 to 2018-12 Major national science and technology special project,
Title:Development and application of high performance nuclear magnetic resonance relaxation analyzer
2012-01 to 2014-12 Major national science and technology special project,
Title:Experiments and numerical simulation of mud invasion in low porosity and low permeability reservoir
201*-** to 201*-** Major national science and technology special project,
Title:Oiland gas evaluation theory by well logging data and log data process methods for complex reservoir
Representative Publications
1.FANY.,WU J., WU F.,et al. A new physical simulation system of drilling mud invasion information module [J]. Petroleum Exploration AndDevelopment,2017,(01):125-129.
2.FANY.,WANG L., GE X.,et al. Numerical simulation and corresponding characteristicanalysis of dual laterolog for cave reservoirs [J]. PetroleumExploration AndDevelopment,2016,02:1-6.https://doi.org/10.1002/cjg2.30044
3.FANY.,WU F., LI H.,et al. A modified design of pulse sequence and inversion method forD-T_2 two-dimensional NMR [J]. Acta Physica Sinica, 2015, 09):524-539.
DOI:10.7498/aps.64.099301
4.ZhouM., FanY.,Liu Z, et al.Loggingprediction method for productive capacity of complex sandstonereservoirs in Raoyang sag[J]. ActaPetrolei Sinica, 2017, 38(2):208-216.
DOI:10.7623/syxb201702008
5.FANY., HU Y.,LI H., et al.Numerical modeling and analysis of responses of eccentricelectromagnetics logging while drilling tool [J]. Journal of ChinaUniversity of Petroleum, 2014, 02): 59-66.DOI:10.3969/j.issn.1673-5005.2014.02.009
6.FANY.,WU Z., Wu F.,et al. Simulation of mud invasion and analysis of resistivityprofile in sandstone formation module [J]. Petroleum ExplorationAnd Development,2017,44(06):989-996.https://doi.org/10.1016/S1876-3804(17)30118-0
7.XingD., FanY.,Hao J., et al.An adaptive method for determining an acquisition parameter t0, ina modified CPMG sequence[J]. Journal of Magnetic Resonance, 2017,276:51-59.
DOI:10.1016/j.jmr.2017.01.006
8.GeX., Chen H.,Fan Y.,et al. An improved pulse sequence and inversion algorithm of T2spectrum. Computer physics communications. 2017,212,82-89.
DOI:10.1016/j.cpc.2016.10.012
9.GeX., FanY.,Liu J., et al.An improved method for permeability estimation of the bioclasticlimestone reservoir based on NMR data. Journal of MagneticResonance. 2017,283,96-109.
https://doi.org/10.1016/j.jmr.2017.09.004
10.GeX., FanY.,Chen H., et al.TI Probing the influential factors of NMR T-1-T-2 spectra in thecharacterization of the kerogen by numerical simulation [J].JOURNAL OF MAGNETIC RESONANCE, 2015, 260: 54-66.DOI:10.1016/j.jmr.2015.08.026
2016,First awards for scientific and technological progress by People'sGovernment of Shandong Province, Shandong, China
2013,Second awards for scientific and technological progress by Ministryof Education, China
2012,Second awards for scientific and technological progress by The ChinaPetroleum and Chemical Industry Federation, China
Lastupdate: March 29, 2018
