Personal Information
Name: Peng LIN
Title: Lecturer
E-mail: linpeng798@126.com, linpeng@cumtb.edu.cn
Research Interests
(1) Separation and high-resolution imaging of diffractions
(2) Artificial intelligence in seismic exploration
(3) Urban and environmental engineering geophysical exploration
(4) Variation of vegetation and groundwater in mining area
Education/Work Background
2010.09-2014.06,School of Science, China University of Mining & Technology-Beijing, Bachelor;
2014.09-2016.06,School of Geosciences & Surveying Engineering, China University of Mining & Technology-Beijing, Master;
2016.09-2020.06,China University of Mining & Technology-Beijing, China University of Mining & Technology-Beijing, PhD;
2020.07-2022.08, China University of Mining & Technology-Beijing, China University of Mining & Technology-Beijing, Postdoc;
2022.09-Now,China University of Mining & Technology-Beijing, China University of Mining & Technology-Beijing, Lecturer.
Teaching Courses
Seismic Data Processing and Interpretation
Machine Learning(Bilingual Teaching)
Theory and Method of Seismic Exploration
Seismic Data Simulation Processing/Simulation
Key Research Funding
[1]. Peng Lin. 3D prestack diffraction sparse separation and imaging for revealing hidden hazard sources of coal mines. National Natural Science Foundation of China (No. 42104139), 2022-2024, PI
[2]. Peng Lin. Response regularity and forward modeling of large scale seismic wave of deep high-temperature geothermal body. National Natural Science Foundation of China (No. 2020YFE020130001-01), 2020-2023, PI
[3]. Peng Lin. Research on 3D prestack diffraction separation and imaging based on low-rank optimization. China Postdoctoral Science Foundation (No. 2021M693426), 2021-2022, PI
[4]. Peng Lin. High precision diffraction wave detection technology for hidden disaster sources in coal mines. State Key Laboratory of Coal Resources and Safe Mining (No. SKLCRSM21KFA02), 2021-2023, PI
[5]. Peng Lin. Research on fine intelligent detection technology of diffraction wave of hidden disaster-causing geological body in coal mine. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mine (No. SKLMRDPC22KF07), 2021-2023, PI
[6]. Peng Lin. Research on fine detection method of hidden hazards in urban roads based on GPR diffraction imaging. Key Laboratory of Intelligent Detection and Equipment for Underground Space of Beijing-Tianjin-Hebei Urban Agglomeration, Ministry of Natural Resources of the People’s Republic of China (No. ZB2023001) 2021-2023, PI
Honors
2023.11, I was awarded the title of National College Students Mathematical Contest in Modeling National second prize instructor, Beijing first prize instructor.
2023.11, I won the second prize of invention prize of China Petroleum and Chemical Industry Federation technology
Selected Publications (* denotes Corresponding author)
[1] Lin, P.; Peng, S.P.; Li, C.J.; Xiang, X.; Cui, X.Q. Separation and imaging of seismic diffractions using geometric mode decomposition. Geophysics, 2023, 88, WA239-WA251.
[2] Lin, P.; Peng, S.P.; Xiang, X.; Li, C.J.; Cui, X.Q. Diffraction imaging of discontinuities using migrated dip-angle gathers. Geophysics, 2023, 88, V21-V32.
[3] Lin, P.; Peng, S.P.; Xiang, X.; Li, C.J.; Cui, X.Q. Robust low-rank diffraction separation and imaging by CUR matrix decomposition. Geophysics, 2023, 88, V415-V429.
[4] Lin, P.; Peng, S.P.; Cui, X.Q.; Du, W.F.; Li, C.J. Effective diffraction separation using the improved optimal rank-reduction method. Geophysics, 2022, 87, V169-V182.
[5] Lin, P.; Peng, S.P.; Zhao, J.T.; Cui, X.Q. Diffraction separation and imaging using multichannel singular-spectrum analysis. Geophysics, 2020, 85, V11-V24.
[6] Lin, P.; Peng, S.P.; Zhao, J.T.; Cui, X.Q.; Du, W.F. Accurate diffraction imaging for detecting small-scale geologic discontinuities. Geophysics, 2018, 83, S447-S457.
[7] Lin, P.; Peng, S.P.; Xiang, X.; Li, C.J.; Cui, X.Q.; Zhang, W.K. Structure-oriented CUR low-rank approximation for random noise attenuation of seismic data. IEEE Transactions on Geoscience and Remote Sensing, 2023.
[8] Lin, P.; Li, C.J.; Peng, S.P. Diffraction extraction using a low-rank matrix approximation method. IEEE Geoscience and Remote Sensing Letters, 2022.
[9] Lin, P.; Peng, S.P.; Xiang, X.; Li, C.J.; Cui, X.Q.; Jiang, T.Q. Regularized low-rank approximation method for diffraction enhancement, IEEE Geoscience and Remote Sensing Letters, 2023.
[10] Lin, P.; Zhao, J.T.; Peng, S.P.; Cui, X.Q. Diffraction separation by variational mode decomposition. Geophysical Prospecting, 2021, 69, 1070-1085.