Fan Yiren

By  李勇    2024-09-19    Visited 10 times

Name: FanYiren

Academic title: Professor

Email:fanyiren@upc.edu.cn

Research Interests:

Rock Physics,

WellLogging Interpretation,

Electrical Logging


Scholarly Activities

-Publications：

[1] Fan Yiren, Hu Xufei, Deng Shaogui, Yuan Xiyong, Li Haita. Logging while drilling electromagnetic wave responses in inclined bedding formation[J]. Petroleum Exploration and Development, 2019, 46(04):675-683.

[2] Fan Yiren, Liu Jianyu, Ge Xinmin, Deng Shaogui, Liu Hongliang, Gu Dingna. Permeability evaluation of tight sandstone based on dual T2 cutoff values measured by NMR [J]. Chinese Journal of Geophysics-Chinese Edition, 2018, 61(04):1628-1638.

[3] Fan Yiren, Wu Junchen,Wu Fei, Zhou Cancan, Li Chaoliu. A new physical simulation system of drilling mud invasion in formation module [J].Petroleum Exploration and Development, 2017, (01):125-129.

[4] Fan Yiren, Wang Lei,Ge Xinmin, Fan Zhuoying, Wu Zhengguan, Liu Jiaxiong, HuangRui. Response simulation and corresponding analysis of dual laterolog in cavernous reservoirs [J]. Petroleum Exploration and Development, 2016,02:1-6.

[5] Fan Yiren, WuFei,LiHu, et al. A modified design of pulse sequence and inversion method for D-T2 two-dimensional NMR [J]. Acta Physica Sinica, 2015, 09): 524-539.

[6] Fan Yiren, Wu Zhengguan,Wu Fei, Wu Junchen, Wang Lei. Simulation of mud invasion and analysis of resistivity profile in sandstone formation module [J]. Petroleum Exploration and Development, 2017, 44(06):989-996.

[7] Xing Donghui, Fan Yiren, Hao Jianfei, et al. An adaptive method for determining an acquisition parameter t0, in a modified CPMG sequence[J]. Journal of Magnetic Resonance, 2017, 276:51-59.


-Research Project：

[1] Intelligent Interdimensional Inversion and Applied Fundamental Research on Far Detecting Azimuthal Electromagnetic Wave Logging with Drilling.(2019) National Natural Science Foundation of China (No. 41974146).

[2] Mechanism and Imaging Method of Forward-Looking Logging Of Horizontal Wells with Drilling Electromagnetic Wave Far Detection.(2023) National Natural Science Foundation of China (No. U23B2086).