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].2021-2024,NSFC,The 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].2019-2021,NSFC,Study on LWD acoustic attenuation law and imaging for near-wellbore gas hydrate formation