Li Shengqing

By  李勇    2024-09-19    Visited 10 times

Name: Shengqing Li

Academic title: Associate Professor

Research Area:

Geophysics, borehole acoustic

Contact:

Email: shidalishengqing@yeah.net


Research Interests:

Engaged in the theory and technology of borehole reservoir acoustics, acoustics signal and information processing, engineering well logging (acoustic cementing quality evaluation), main research interests and directions

1.Theory and application technology of acoustic well logging

2.Elastic wave rock physics and in-well fiber application (VSP, DAS, DTS)

3.Well logging evaluation method for natural gas hydrates

4.Theory and application technology of in-well acoustic remote detection

5.Digital signal processing methods and software integrated development (Matlab, C#, C++)

6.Artificial intelligence and machine learning technology and its application in intelligent well logging processing

7.Theory and technology of while-drilling acoustic well logging

8.Acoustic cementing quality evaluation method


Welcome students from majors such as Mathematics, Physics, Computer Science, Exploration, Geophysics, Signal Processing, Intelligent Algorithms, or those with a background in Applied Mathematics, Applied Physics, Computer Programming, Signal Analysis, etc., who are interested in Earth exploration and interdisciplinary studies to apply!


Courses Offered

Geophysical Well Logging, Basic Well Logging Software Technology, Signal Analysis and Processing, Well Logging Data Processing and Comprehensive Interpretation, Well Logging Interpretation Course Design.


Scholarly Activities

-Publications

[1].Li Sheng-Qing, Xiao-Ming Tang*, Yuan-da Su. Shear wave imaging to determine near-borehole faults for ocean drilling exploration. Geophysical Journal International, 2019.

[2].Li Sheng-Qing, Huan-Ran Li, Xiao-Ming Tang*. Near-borehole characteristics of hydraulic fractures and fracturing-induced sonic-wave attenuation. Geophysics, 2019.

[3].Li Sheng-Qing, Xiao-Ming Tang, Yuan-da Su. Model-based dispersive processing of borehole dipole wave data using an equivalent-tool theory. Geophysics, 2016.

[4].Li Sheng-Qing, Ming Chen, Xi-Hao Gu, et al. Application of four-component dipole shear reflection imaging to interpret the geological structure around a deviated well. Applied Geophysics, 2019.


-Research Project

[1].2021-2024NSFCThe interaction law of the borehole acoustic with the fluid flow in the complex fracture system and the fracture conductivity evaluation by the acoustic logging

[2].2019-2021NSFCStudy on LWD acoustic attenuation law and imaging for near-wellbore gas hydrate formation