Male, born in 1972, Zhuozhou, Hebei Province, Phd, Associate Professor of Institute of Geographic Sciences and Natural Resources Research, CAS, master supervisor.

Education:
Ph.D., 2005.09-2008.06, Structural Geology, Institute of Tibetan Plateau Research, CAS
M.S., 2002.09-2005.07, Geodetection and Information Technology, China University of Geosciences
B.S., 1993.09-1997.07, Applied Geophysics, East China University of Technology
 
Academic Appointments:
2016.12-present: Associate Professor, Institute of Geographic Sciences and Natural Resources Research, CAS
2012.06-2016.11: Assistant Professor, Institute of Geographic Sciences and Natural Resources Research, CAS
2010.07-2010.06: Postdoctoral Fellow, Institute of Geographic Sciences and Natural Resources Research, CAS
2008.07-2010.07: Assistant Professor, Institute of Tibetan Plateau Research, CAS
1997.07-2002.08: Geophysicist, BGP INC., China National Petroleum Corporation

Research Areas:
Engineering Geological Hazard Survey; Advanced Geological Prediction of Tunnel Boring Machines (TBM) and Shield Machine Tunnel; Coal Geological Hazards; Deep Crustal Structure; Offshore Oil and Gas Detection Technology; Technologies and Applications of Multi-component Seismic

Recent major research work：
Research on advance geological exploration of urban underground space：In response to the urgent needs and major challenges of fine detection and integrated diagnosis of structural hidden diseases in the operation period of urban underground space, carry out systematic research on key technologies of multi-scale thorough perception and intelligent diagnosis of urban underground space structure diseases. Establish a complete set of theories and methods for automatic inspection, multi-scale detection, large-scale monitoring and intelligent diagnosis of hidden diseases in underground space structures. Realize precise detection of hidden diseases of underground structures, real-time monitoring of key areas, rapid identification of disease characteristics, joint analysis of multiple information, intelligent assessment of safety status and predictive maintenance.
Research on geological disasters in mines and coal fields: Including the geological environment conditions and types, distribution and scale of geological hazards in the mine and coalfield, assess the risk of geological disasters that may occur in mine construction, evaluate the impact of mine construction and operation on the geological environment and the risk of geological disasters that may be induced or aggravated to make predictions and comprehensive assessments, put forward the preventive measures to be taken and conduct site suitability evaluation to provide basis for the standardization and decision-making of mine construction projects.
Earthquake disaster research: It mainly includes the fault dynamic process before and after the earthquake and the surface caused by the structural evolution of the seismogenic layer, especially near the fault zone caused strong deformation and destruction. Combined with GPS and other deformation data and stress measurement data to determine the change mechanism of seismic wave velocity, and assess post-earthquake geological disaster risk and environmental assessment.

Scientific achievements:
Advanced geological prediction of high-speed railway tunnel and subway tunnel: aiming at the problems existing in the advanced prediction of seismic wave field propagation and imaging of tunnels in the field of underground engineering, a two-dimensional tunnel medium model with low-speed anomalies is constructed by numerical simulation to study the propagation law of elastic wave field in tunnels and the accuracy of imaging abnormal body boundary. First, the first-order velocity-stress wave equation and the high order staggered grid finite difference method are used to derive the stability conditions and boundary conditions of advanced prediction numerical simulation of tunnels, simulate the above mentioned tunnel models numerically, and identify the wave field characteristics. Second, the pre-stack inverse time migration imaging method is used to conduct inverse time imaging for the abnormal body boundary in the tunnel models under the condition of correlation imaging of the wave field after avoiding the noise suppression. The results show that the high order staggered grid finite difference method can obtain the clear reflected waves of abnormal body boundary and the scattered waves generated by corner points. The inverse time migration method can obtain the accurate imaging results of abnormal body in the tunnels, thus greatly improving the resolution and accuracy of advanced prediction of the tunnels. The single hypocenter near the tunnel face and the multi-channel receiving and observation system can obtain the best imaging results of the anomalous body, which provides the theoretical basis for the efficient data acquisition in the tunnels.
In terms of the research on scattering imaging methods, the scattering wave theory can be used to image the underground abnormal body, which can help to solve the problems of complex geological structure of exploration target, steep dip angle or lithological mutation, weak reflection signal, low signal-to-noise ratio, the fuzzy image, etc. This method can obtain good results in the applications of deep shallow seismic exploration of metal mines, offshore oil exploration, land oil exploration, coal-bed methane exploration.
In the study of anisotropy, according to Huygens-Fresnel principle, the converted wave is a special case of scattered wave. The travel time equation of the converted wave is a double square root equation containing the velocities of downward p-wave and upward s-wave. After introducing the equivalent offset and the equivalent velocity, the equation is transformed into a single square root equation, thus avoiding the formation of the common scattering point trace of the converted wave influenced by p-wave. This method improves the formation of the common scattering point trace of converted waves.
With regard to channel wave seismic exploration, the characteristics of channel wave (long transmission distance, strong energy, obvious characteristics of wave field, dispersion) are used to explore the geological problems of small structure in the working face, the abnormal body, and coal seam thickness change, which can provide reasonable reference data for mining plan, reserves estimation, hazard assessment, mineral water management, etc. of coal mine. Elliptical offset technology of reflected channel wave is improved by introducing the corrections of the obliquity factor of input wave field and spherical diffusion factor to make the imaging results better. The method of transmission dispersion analysis is improved with local normalization for the amplitude of multiple filtering, which makes the dispersion curve clearer and easier to pick up velocity and theoretical arrival-time.

Main research projects (up to 10)：
1)The National Natural Science Foundation of China: Research on deep structures near the Yarlung Zangbo River on the Tibetan Plateau and the Bangong Lake-Nujiang suture (41240027), project leader.
2)The National Natural Science Foundation of China: Based on the fine-grained research of subsidence columns in small-scale coal fields (41641040), project leader.
3)Major projects of the National Natural Science Foundation of China: Loess slope slip mechanism and catastrophic effects of the land reclamation project (41790443). Main participant and sub-project leader.
4)National Natural Science Foundation's key project "Demonstration Study on Coal Mine Disaster Events and Seismic Trough Wave Field Characteristics-Coal Seam Thickness Variation and Fracture Structure and Goaf Detection (41130419)" Second Sub-project-Seismic Trough Wave Data Processing, Inversion and Imaging Method and analysis, research and software synthesis, sub-project leader.
5)Local project of Hebei Coal Research Institute-development of groove wave seismic processing interpretation software. Project manager.
6)Scientific research project of Hebei Coalfield Geology Bureau: Based on the elastic wave advanced prediction method to prove the coal seam tunneling fault trend and predict the water richness of the fault. Project manager.
7)The project leader is a full-space advanced geological forecast and VR demonstration system suitable for rock tunneling machine and shield machine construction.
8)The project leader of the TBM advanced geological forecast research project.
9)The main participant of the national key research and development plan "Research on Mountain Disaster Prevention and Mitigation under the Climate Change Background".

Representative academic papers (up to 10)：
[1] Wang W, Gao X, Li Y Y, et al . Crustal velocity structure of S wave beneath Tibetan Plateau with transform function method-Hi CLIMB profile[J]. Chinese Journal of Geophysics . 2011，54（11）：766-776.
[2] Wang W, Gao X, Li S Y. et al. Channel wave tomography method and its application in coal mine exploration :An example from Henan Yi ma Mining Area[J]. Chinese Journal of Geophysics( in Chinese) . 2012,55(3):1054-1062.
[3] Wei wang,  Yun Wang, Junjie Yin, Xing Gao. Error Analysis of the Converted Wave Deduced by Equivalent Velocity Assumption. Exploration Geophysics. 2012,43,162-170.http://dx.doi.org/10.1071/EG11039
[4]  Yun Wang,  Wei wang*,  Junjie Yin. A Modified EOM method for PS-wave migration .Exploration Geophysics.2012,43:156-161.http://dx.doi.org/10.1071/EG11019.（Corresponding author）
[5] Zhiyong Cao, Wei Wang*, Bin Wang. Numerical simulation and imaging of scattered wave of sunk pillar in coal seam[J]. Chinese Journal of Geophysics. 2012,55(5):1749-1756
[6]WANG Wei,XUE Guoqiang,CUI Huanyu,GAO Xing,TENG Jiwen. Channel wave tomographic imaging method and its application in detection of collapse column in coal.Advances in Engineering Research.2016,41,149-152. doi:10.2991/iceeg-16.2016.41
[7] Changhui Ju, Wei wang*, Xiangchun Wang,  Xing Gao. Receiver function forward modeling and migration based on wave field separation equation[J]. Progress in Geophysics, 2015,30(6):2676-2682,doi:10.6038/pg20150627.
[8] Xinjie Zha, Wei wang*, Xing Gao. Application of quasi-VSP and Kirchhoff migration method in advance prediction of tunnel[J]. Geophysical and Geochemical Exploration, 2016,40(1):214-219.
[9] Wei wang,  Xing Gao, Xiaowei Liu. Comparison and Analysis of Several First Arrival Automatic Picking Algorithms in the Advance Detection of Seismic Wave Tunnel[J]. Tunnel Construction, 2019,39(8):1239-1246，DOI:10.3973/j.issn.2096-4498.2019.08.003
[10] Yunpei Zhao, Wei wang*, Xianhua Hou. Channel wave advanced detection method based on Krichhoff migration and its application[J]. Coal Geology & Exploration, 2019,47（4）:186-192., DOI: 10.3969/j.issn.1001-1986.2019.04.028.

Contact:
Address: 11A, Datun Road, Chaoyang District, Beijing, 100101, China
Phone: 010-6488-9049
E-mail: wang_wei@lreis.ac.cn