Ge Xinmin

By  Kaifei He    2018-05-04    Visited 266 times



Personal Information



Dr. Ge  Xinmin

Associate Professor in Geosciences

Master supervisor

Department of Well Logging

School of Geosciences

China University of Petroleum

Address: NO.66, Changjiang West Road, Huandao, Qingdao, 266580, China.

Tel.: +860532 8698 1315-534, +8613646428362  

Fax.: +86-532-86981878

Email: gexinmin2002@upc.edu.cn,gexinmin2002@163.com

Web: https://scholar.google.com/citations?user=cn7eNsUAAAAJ&hl=en 



Expertise Areas

Petrophysics and Rock Physics

Low field NMR Principles and Application

Formation Evaluation and Well Logging Analysis


Education

2010-09 to 2013-6         China University of  Petroleum (Huadong),  Qingdao, China

  PhD(Geological Resource and Geological Engineering)

2007-09 to 2010-07       China University of Petroleum (Huadong),  Qingdao, China

  Master(Geodetection and Information Technology)

2003-08 to 2007-07       Yangtze University, Jingzhou, China

  Bachelor(Exploration Technique and Engineering)


Employment

2017-01 to present         China University of  Petroleum (Huadong), Qingdao, China

  Associate Professor(Geological Resource and Geological Engineering)

2016-01 to 2016-12       China University of  Petroleum (Huadong), Qingdao, China

  Lecture(GeologicalResource and Geological Engineering)

2013-08 to 2015-12       China University of  Petroleum (Huadong), Qingdao, China

  Post-doctor(Geology)


Courses Offered

Petrophysics

Well logging analysis of complex reservoirs


Funding and Projects

2017-01 to 2020-12         National Science and Technology Major Project,NO.2017ZX05039

    Title:Well logging evaluation of the locustrine shale gas in Yanchang area

2015-01 to 2017-12         National Natural Science Foundation of China, NO. 41404086

    Title:Physical simulation of dual lateral log for fractured-cavernous reservoir andits characteristic analysis

2014-12 to 2017-12         Shandong Provincial Natural Science Foundation, NO.ZR2014DQ007

   Title:Formation evaluation of shale oil based on multidimensional NMRtechnique

2015-01 to 2015-12         China Postdoctoral Science Foundation, NO. 2015T80759

   Title:Probing the Organic Geochemical properties of the source rock intight reservoir using NMR method

2014-06 to 2015-06         China Postdoctoral Science Foundation, NO. 2014M560591

   Title:Low field NMR experiments and application of tight sand reservoir.


Representative Publications

1.Xinmin Ge, Jianyu Liu, Yiren Fan, etal.Laboratory investigation into the formation and dissociation process of gas hydrate by low field NMR technique, Journalof Geophysical Research-Solidearth.https://doi.org/10.1029/2017JB014705(SCI,IF=3.35)

2.Xinmin Ge, Yiren Fan, Jianyu Liu,etal,An improved method for permeability estimation of the bioclastic limestone reservoir based on NMR data, Journal of Magnetic Resonance, 2017,283,96-109.https://doi.org/10.1016/j.jmr.2017.09.004.(SCI,IF=2.43)

3.Xinmin Ge, Yiren Fan, Shaogui Deng, et al. An improvement of the fractal theory and its application in pore structure evaluation and permeability estimation. Journal of Geophysical Research-SolidEarth.2016,121(9),6333-6345.https://doi.org/10.1002/2016JB013074.(SCI,IF=3.35)

4.Xinmin Ge, Hua Chen, Yiren Fan,et al. An improved pulse sequence andinversion algorithm of T2spectrum. Computer Physics communications.2017,212,82-89.https://doi.org/10.1016/j.cpc.2016.10.012(SCI,IF=3.94)

5.Xinmin Ge, Yiren Fan, Yufeng Xiao, et al. Quantitative evaluation of theheterogeneity for tight sand based on the nuclear magneticresonance imaging. Journal of natural gas science and engineering.2017,38,74-80. https://doi.org/10.1016/j.jngse.2016.12.037(SCI,IF=2.72)

6.Xinmin Ge, Yiren Fan, Yingchang Cao, et al. Investigation of  OrganicRelated Pores in Unconventional Reservoir and Its Quantitative Evaluation. Energy & Fuels,2016,30(6),4699-4709.https://pubs.acs.org/doi/abs/10.102/acs.energyfuels.6b00590(SCI,IF=3.09)

7.XinminGe, Hua Wang, Yiren Fan, et al. Joint inversion of T1-T2spectrum combining the iterative truncated singular valuedecomposition and the parallel particle swarm optimizationalgorithms. Computer Physics Communications,2016,198,59-70.https://doi.org/10.1016/j.cpc.2015.09.003(SCI,IF=3.94)

8.XinminGe, Yiren Fan, Hua Chen, et al. Probing the influential factors ofNMR T1-T2spectra in the characterization of the kerogen by numerical simulation. Journal of Magnetic Resonance,2015,260,54-66.https://doi.org/10.1016/j.jmr.2015.08.026(SCI,IF=2.43)

9.XinminGe, Yiren Fan, Jiangtao Li, et al. Noise reduction of nuclearmagnetic resonance (NMR) transversal data using improved wavelet transform and exponentially weighted moving average (EWMA),Journalof Magnetic Resonance,2015,251,71-83.https://doi.org/10.1016/j.jmr.2014.11.018(SCI,IF=2.43)

10.XinminGe, Yiren Fan, Xuejuan Zhu, et al. Determination of NMR T2 cutoff value based on multifractal theory-An application insandstone with complex porestructure.Geophysics,2015,80(1),D11-D21.https://doi.org/10.1190/geo2014-0140.1(SCI,IF=2.39)

11.XinminGe, Yiren Fan, Xuejuan Zhu, et al. A Method to Differentiate Degree of Volcanic Reservoir Fracture Development Using Conventional Well Logging Data—An Application of Kernel Principal Component Analysis (KPCA) and Multifractal Detrended Fluctuation Analysis(MFDFA). IEEE Journal of Selected Topics in Applied EarthObservations and Remote Sensing, 2014,7(12),4972-4978.https://ieeexplore.ieee.org/document/6812122/(SCI,IF=2.91)

12.XinminGe, Yiren Fan, Jiangtao Li, et al. Pore structure characterizationand classification using multifractal theory- an application intight reservoir of Santanghu basin in Western China. Journal ofPetroleum Science and Engineering, 2015,127,297-304.https://doi.org/10.1016/j.petrol.2015.01.004(SCI,IF=1.87)

13.XinminGe, Yiren Fan, Yingchang Cao, et al. A hybrid method for geologicaland geophysical data with multi-peak distributions using thePSO–GRG algorithm. Journal of Geophysics and Engineering,2015,12(3),283–291.http://iopscience.iop.org/article/10.1088/1742-2132/12/3/283(SCI,IF=0.99)

14.XinminGe, Yiren Fan, Yingchang Cao, et al. Reservoir Pore Structure Classification Technology of Carbonate Rock Based on NMR T2 Spectrum Decomposition. Applied Magnetic Resonance,2014,45(2),155-167.https://doi.org/10.1007/s00723-013-0511-5(SCI,IF=0.86)


Awards & Honors

2017-05,First prize in scientific and technological progress of  Shandong Province, China

2018-05,Second prize in scientific and technological progress of  Hebei Province, China

2012-12,Third prize in scientific and technological progress of  National Energy Administration, China



Conferences  Attended

2015-05,56th ENC Conference, Pacific Grove, USA.

2016-09,10th International Geostatistical Congress, Valencia, Spanish.



Others

Welook for postgraduate students majoring in geophysics, geosciences,computer technology, as well as maths. We will provide substantial guidance for the students, and the opportunities of international studies.





Lastupdate: April 22, 2018