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中国地质大学(武汉)地球物理与空间信息学院导师教师师资介绍简介-刘双

本站小编 Free考研考试/2021-07-31





刘双,博士,副教授,博士生导师。2008年毕业于中国地质大学(武汉)地球物理学专业,获学士学位;2011年6月毕业于中国地质大学(武汉)地球探测与信息技术专业,获硕士学位;2015年6月毕业于中国地质大学(武汉)地球探测与信息技术专业,获博士学位;2015年7月留校参加工作。
主要从事重磁探测技术及其地学应用研究,包括重磁数据处理、反演理论、非线性随机反演、群智能算法、深部资源探测、地球深部结构研究等;主持国家自然科学基金、湖北省自然科学基金、博士后基金、中央高校基金等项目;在JGR、GJI、Geophysics、Pure and Applied Geophysics、Journal of Applied Geophysics、Computers & Geosciences、地球物理学报、地球科学、物探与化探等国内外重要学术期刊发表学术论文多篇。
E-mail: lius@cug.edu.cn, laushua@foxmail.com。

教育经历
2004年9月~2008年6月,本科,中国地质大学(武汉),地球物理学专业
2008年9月~2011年6月,硕士,中国地质大学(武汉),地球探测与信息技术专业

2012年9月~2015年6月,博士,中国地质大学(武汉),地球探测与信息技术专业



工作经历
2018年07月~今,副教授,中国地质大学(武汉)
2015年07月~2018年06月,特任副教授,中国地质大学(武汉)
2015年10月~2018年11月,博士后,中国科学院地质与地球物理研究所
2016年11月~2018年01月,国家公派访问****,意大利那不勒斯费德里克二世大学(Naples University of Federico II)

研究兴趣
勘探地球物理,重力与磁法
反演理论,非线性随机反演,群智能算法
深部矿产资源探测,地球深部结构

科研项目(主持)

国家自然科学基金面上项目:磁各向异性的地磁异常响应及反演研究(**),在研

国家自然科学基金青年基金:剩磁和退磁条件下磁化强度矢量反演研究(**),在研
中央高校基金摇篮计划:深部控矿岩体地球物理响应研究(CUGL170407),在研
国家重点研发专项子课题“华北克拉通破坏与巨量金成矿”子专题(2016YFC**),在研
湖北省自然科学基金青年基金:井-地-空磁数据一体化协同反演研究(2016CFB122),结题
中国博士后科学基金面上基金:多尺度磁数据协同反演研究(2016M590132),结题
中央高校基金杰出人才培育基金:福建省岩石圈深部结构与地热资源形成机制的综合地球物理研究(CUG160609),结题
中科院地质与地球物理研究所岩石圈演化国家重点实验室开放课题:厦门湾漳州盆地深部热结构地球物理研究(201601),结题
地科院物化探研究所基本科研业务费专项资金项目:基于压缩感知的重磁场物性稀疏重构(WHS201304),结题

代表性论著

S. Liu, M. Fedi, X. Hu, J. Baniamerian, B. Wei, D. Zhang, and R. Zhu, Extracting induced and remanent magnetizations from magnetic data modeling, Journal of Geophysical Research: Solid Earth, 2018, 123, 1-20, doi: 10.1029/2017JB015364.
S. Liu, M. Fedi, X. Hu, Y. Ou, J. Baniamerian, B. Zuo, Y. Liu, and R. Zhu, 2018, Three-dimensional inversion of magnetic data in the simultaneous presence of significant remanent magnetization and self-demagnetization: example from Daye iron-ore deposit, Hubei province, China, Geophysical Journal International, 215(1), 614-634, doi: 10.1093/gji/ggy299.
S. Liu, X. Hu, and R. Zhu, 2018, Joint inversion of surface and borehole magnetic data to prospect concealed orebodies: A case study from the Mengku iron deposit, northwestern China, Journal of Applied Geophysics, 154, 150-158, doi: 10.1016/j.jappgeo.2018.05.004.
S. Liu, M. Liang, and X. Hu, 2018, Particle swarm optimization inversion of magnetic data: field examples from iron ore deposits in China, Geophysics, 83(4), J43-J59, doi: 10.1190/geo2017-0456.1.
S. Liu, X. Hu, H. Zhang, M. Geng, and B. Zuo, 3D magnetization vector inversion of magnetic data: improving and comparing methods, Pure and Applied Geophysics, 2017, 174(12), 4421-4444,doi: 10.1007/s00024-017-1654-3.
S. Liu, X. Hu, J. Cai, J. Li, C. Shan, W. Wei, Q. Han, and Y. Liu, Inversion of borehole magnetic data for prospecting deep-buried minerals in areas with near-surface magnetic distortions: a case study from the Daye iron-ore deposit in Hubei, central China, Near Surface Geophysics, 2017, 15(2), 298-310, doi: 10.3997/1873-0604.**.
S. Liu, X. Hu, Y. Xi, T. Liu, and S. Xu, 2D sequential inversion of total magnitude and total magnetic anomaly data affected by remanent magnetization, Geophysics, 2015, 80(3), K1-K12, doi: 10.1190/GEO2014-0019.1.
S. Liu, X. Hu, T. Liu, Y. Xi, J. Cai and H. Zhang, Ant colony optimisation inversion for surface and borehole magnetic data under lithological constraints, Journal of Applied Geophysics, 2015,112(1), 115-128, doi: 10.1016/j.jappgeo.2014.11.010.
S. Liu, X. Hu, Y. Xi, and T. Liu, 2D inverse modeling for potential fields on rugged observation surface using constrained Delaunay triangulation, Computers & Geosciences, 2015, 76(3), 18-30, doi: 10.1016/j.cageo.2014.11.010.
S. Liu, X. Hu, and T. Liu, A stochastic inversion method for potential field data: ant colony optimization, Pure and Applied Geophysics, 2014, 171(7), 1531-1555, doi: 10.1007/s00024-013-0712-8.
S. Liu, X. Hu, T. Liu, J. Feng, W. Gao, and L. Qiu, Magnetization vector imaging for borehole magnetic data based on magnitude magnetic anomaly, Geophysics, 2013, 78(6): D429-D444, doi: 10.1190/GEO2012-0454.1.
刘双,刘天佑,冯杰,高文利,邱礼泉,胡祥云,强剩磁强退磁条件下的二维井中磁测反演,地球物理学报,2013,56(12): 4297-4309, doi: 10.6038/cjg**.


主要学术会议

S. Liu, M. Fedi, X. Hu, Y. Ou, J. Baniamerian, B. Zuo, Y. Liu, and R. Zhu, Three-dimensional inversion of magnetic data with simultaneous significant remanent magnetization and self-demagnetization, 2018 AGU Fall Meeting.
S. Liu, X. Hu, M. Fedi, and R. Zhu, Forward and inverse modeling of magnetic data under the complex magnetism effects: Remanence, self-demagnetization and magnetic anisotropy, 2018 Deep Earth Exploration and Practices (DEEP-2018).
刘双, 胡祥云, Separation of magnetic data for induced and remanent magnetization contributions, 2018年中国地球科学联合学术年会.
刘双, 胡祥云, 成矿作用磁性结构复杂性:地磁异常反演, 2018, 第十四届全国矿床会议.
S. Liu, Magnetization vector inversion of magnetic data, 2018, Sino-Italian International Cooperation and Exchange & Advancements in Gravity and Magnetic Technology Seminar.
S. Liu, Baniamerian, J., Inversion of magnetic data to fully reconstruct the magnetization vector and its application to mineral exploration, 2018, 18th Iranian Geophysical Conference.
S. Liu, J. Baniamerian, M. Fedi, and X. Hu, Magnetization vector inversion of magnetic data and its application in mineral exploration of China, 2017 36th GNGTS Convegno Nazionale.
刘双, 胡祥云, M. Fedi, 磁化强度矢量反演, 2017年中国地球科学联合学术年会.
S. Liu, M. Fedi, and X. Hu, Inversion and interpretation of magnetic anomalies when significant remanence is present: Examples from mining areas in China, 2017 103th Congresso Della Societa Italiana Di Fisica.

S. Liu, X. Hu and M. Fedi, Inversion of potential field data with prior information constraints: examples from mining areas in China, 2017 EGU General Assembly.
S. Liu and X. Hu, Three-dimensional magnetization vector inversion for high-susceptibility magnetic anomaly, 2016 EGU General Assembly.
S. Liu and X. Hu, Three-dimensional inversion for magnetic data when significant, complicate remanence and self-demagnetization are present, 13th Annual Meeting Asia Oceania Geosciences Society (AOGS 2016).
刘双, 胡祥云, 井-地-空磁数据协同反演研究, 2016年中国地球科学联合学术年会.
S. Liu, X. Hu, Y. Xi, and Y. Zhao, Three algorithms of magnetization vector inversion for magnetic data, 2014 AGU Fall Meeting.
S. Liu, X. Hu, and Y. Xi, 3D magnetization intensity and direction inversion for magnetic data based on the magnitude magnetic anomaly, 2014年中国地球科学联合学术年会.
S. Liu and X. Hu, Sparsity imaging for potential field data based on orthogonal matching pursuit, 2014 First Near Surface Geophysics Asia Pacific Conference.

荣誉与奖项
第七届刘光鼎地球物理青年科学技术奖(2016年)

湖北省优秀博士学位论文(2016年)


教学课程

本科生课程《数字信号处理》、《磁法勘探》、《地球物理方法概论》


指导研究生
2018级 杨建华 (硕士 在读)
2018级 李巡 (硕士 在读)
2018级 胡振林 (硕士 在读)
2017级 王建 (硕士 在读)

2017级 桂中贵 (硕士 在读)
2016级 潘斌 (硕士 在读)
2012级 彭振宇 (已毕业,浙江省地质调查研究院)

2015级 梁苗 (已毕业,四川省交通运输厅公路勘察设计研究院)





RESUME


Dr. Shuang Liu
Institute of Geophysics and Geomatics, China University of Geosciences Wuhan
No 388, Lumo Road, Hongshan District, Wuhan 430074, China
E-mail: lius@cug.edu.cn, laushua@foxmail.com

Position
Associate professor in Geophysics, China University of Geosciences Wuhan, 2015/07-present.
Post-doctoral researcher in Geophysics, Institute of Geology and Geophysics, Chinese Academy of Sciences, 2015/10-2018/11.
Visiting scholar in Geophysics, Naples University of Federico II, 2016/11-2018/01.

Education
Ph.D. in Geophysics, China University of Geosciences Wuhan, 2012/09-2015/06
M.S. in Geophysics, China University of Geosciences Wuhan, 2008/09-2011/06
B.S. in Geophysics, China University of Geosciences Wuhan, 2004/09-2008/06

Research Interests
Applied geophysics, Gravity and magnetic methods
Inversion theory, Stochastic inversion, Swarm intelligence
Deep resource prospecting, Deep structure of Earth

Projects
NSF of China: Magnetic anomaly responses and inversion under magnetic anisotropy condition (No. **)

NSF of China: Magnetization vector inversion for magnetic anomaly in the presence of remanence and self-demagnetization (No. **)
NSF of Hubei Province: Joint inversion for borehole, surface and aero magnetic data (No. 2016CFB122)
China Postdoctoral Science Foundation: Cooperative inversion for multi-scale magnetic data (No. 2016M590132)
Fundamental Research Funds for the Central Universities: Comprehensive geophysical research on deep lithosphere structure and geothermal resource formation mechanism in Fujian province (No. CUG160609)
Fundamental Research Funds for the Central Universities: Geophysical responses of deep ore-controlling rock mass (No. CUGL170407)


Publications


S. Liu, M. Fedi, X. Hu, J. Baniamerian, B. Wei, D. Zhang, and R. Zhu, Extracting induced and remanent magnetizations from magnetic data modeling, Journal of Geophysical Research: Solid Earth, 2018, 123, 1-20, doi: 10.1029/2017JB015364.
S. Liu, M. Fedi, X. Hu, Y. Ou, J. Baniamerian, B. Zuo, Y. Liu, and R. Zhu, 2018, Three-dimensional inversion of magnetic data in the simultaneous presence of significant remanent magnetization and self-demagnetization: example from Daye iron-ore deposit, Hubei province, China, Geophysical Journal International, 215(1), 614-634, doi: 10.1093/gji/ggy299.
S. Liu, X. Hu, and R. Zhu, 2018, Joint inversion of surface and borehole magnetic data to prospect concealed orebodies: A case study from the Mengku iron deposit, northwestern China, Journal of Applied Geophysics, 154, 150-158, doi: 10.1016/j.jappgeo.2018.05.004.
S. Liu, M. Liang, and X. Hu, 2018, Particle swarm optimization inversion of magnetic data: field examples from iron ore deposits in China, Geophysics, 83(4), J43-J59, doi: 10.1190/geo2017-0456.1.
S. Liu, X. Hu, H. Zhang, M. Geng, and B. Zuo, 3D magnetization vector inversion of magnetic data: improving and comparing methods, Pure and Applied Geophysics, 2017, 174(12), 4421-4444,doi: 10.1007/s00024-017-1654-3.

S. Liu, X. Hu, J. Cai, J. Li, C. Shan, and W. Wei, Q. Han, Y. Liu, Inversion of borehole magnetic data for prospecting deep-buried minerals in areas with near-surface magnetic distortions: a case study from the Daye iron-ore deposit in Hubei, central China, Near Surface Geophysics, 2017, 15(2), 298-310, doi: 10.3997/1873-0604.**.
S. Liu, X. Hu, Y. Xi, T. Liu, and S. Xu, 2D sequential inversion of total magnitude and total magnetic anomaly data affected by remanent magnetization, Geophysics, 2015, 80(3), K1-K12, doi: 10.1190/GEO2014-0019.1.
S. Liu, X. Hu, T. Liu, Y. Xi, J. Cai and H. Zhang, Ant colony optimisation inversion for surface and borehole magnetic data under lithological constraints, Journal of Applied Geophysics, 2015,112(1), 115-128, doi: 10.1016/j.jappgeo.2014.11.010.
S. Liu, X. Hu, Y. Xi, and T. Liu, 2D inverse modeling for potential fields on rugged observation surface using constrained Delaunay triangulation, Computers & Geosciences, 2015, 76(3), 18-30, doi: 10.1016/j.cageo.2014.11.010.
S. Liu, X. Hu, and T. Liu, A stochastic inversion method for potential field data: ant colony optimization, Pure and Applied Geophysics, 2014, 171(7), 1531-1555, doi: 10.1007/s00024-013-0712-8.
S. Liu, X. Hu, T. Liu, J. Feng, W. Gao, and L. Qiu, Magnetization vector imaging for borehole magnetic data based on magnitude magnetic anomaly, Geophysics, 2013, 78(6): D429-D444, doi: 10.1190/GEO2012-0454.1.
S. Liu, J. Feng, W. Gao, L. Qiu, T. Liu, and X. Hu, 2D inversion for borehole magnetic data in the presence of the significant remanence and demagnetization, Chinese Journal of Geophysics, 2013, 56(12), 4297-4309, doi: 10.6038/cjg**. (in Chinese with English Abstract).

Talks & Presentations



S. Liu, M. Fedi, X. Hu, Y. Ou, J. Baniamerian, B. Zuo, Y. Liu, and R. Zhu, Three-dimensional inversion of magnetic data with simultaneous significant remanent magnetization and self-demagnetization, 2018 AGU Fall Meeting.
S. Liu, X. Hu, M. Fedi, and R. Zhu, Forward and inverse modeling of magnetic data under the complex magnetism effects: Remanence, self-demagnetization and magnetic anisotropy, 2018 Deep Earth Exploration and Practices (DEEP-2018).
S. Liu, X. Hu, Separation of magnetic data for induced and remanent magnetization contributions, 2018 CGU Fall Meeting.
S. Liu, X. Hu, Complexity of magnetism structure for metallization processes: Inversion of magnetic anomaly, 2018, 14th National Deposit Conference.
S. Liu, Magnetization vector inversion of magnetic data, 2018, Sino-Italian International Cooperation and Exchange & Advancements in Gravity and Magnetic Technology Seminar.
S. Liu, Baniamerian, J., Inversion of magnetic data to fully reconstruct the magnetization vector and its application to mineral exploration, 2018, 18th Iranian Geophysical Conference.
S. Liu, J. Baniamerian, M. Fedi, and X. Hu, Magnetization vector inversion of magnetic data and its application in mineral exploration of China, 2017 36th GNGTS Convegno Nazionale.
S. Liu, X. Hu, and M. Fedi, Magnetization vector inversion, 2017 CGU fall meeting.
S. Liu, M. Fedi, and X. Hu, Inversion and interpretation of magnetic anomalies when significant remanence is present: Examples from mining areas in China, 2017 103th Congresso Della Societa Italiana Di Fisica.
S. Liu, X. Hu and M. Fedi, Inversion of potential field data with prior information constraints: examples from mining areas in China, 2017 EGU General Assembly.

S. Liu and X. Hu, Three-dimensional magnetization vector inversion for high-susceptibility magnetic anomaly, 2016 EGU General Assembly.
S. Liu and X. Hu, Three-dimensional inversion for magnetic data when significant, complicate remanence and self-demagnetization are present, 13th Annual Meeting Asia Oceania Geosciences Society (2016 AOGS).
S. Liu, X. Hu, Cooperative inversion for surface, borehole and aero magnetic data, 2016 CGU fall meeting.
S. Liu, X. Hu, Y. Xi, and Y. Zhao, Three algorithms of magnetization vector inversion for magnetic data, 2014 AGU Fall Meeting.
S. Liu, X. Hu, and Y. Xi, 3D magnetization intensity and direction inversion for magnetic data based on the magnitude magnetic anomaly, 2014 CGU fall meeting.
S. Liu and X. Hu, Sparsity imaging for potential field data based on orthogonal matching pursuit, 2014 First Near Surface Geophysics Asia Pacific Conference.

Honors & Awards
The 7th Liu Guangding Geophysical Young Science and Technology Award (2016)
Outstanding PhD Degree Thesis of Hubei Province (2016)

Student courses
Undergraduate courses: Digital Signal Processing, Magnetic Prospecting, Introduction to Geophysics


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