Affiliation:
1. Chongqing University
2. Chongqing Institute of Engineering
Abstract
Abstract
This paper presents a seismic reflection wave imaging system that uses virtual instrumentation technology to process seismic wave data. The system employs a modular approach to image reflection waves in a medium velocity hierarchy. The study investigates the time and frequency domain characteristics of seismic sub-waves transmitted in the reflection system and establishes and simulates the propagation model of seismic reflection waves in horizontally stratified media. Algorithms are proposed for implementing the overall system, including amplitude compensation, digital filtering, velocity analysis, and offset imaging. The effectiveness of 2D FK filtering in the filtering process is tested, which confirms its ability to filter out velocity domain interference waves. The hardware and software development solutions for the overall system are developed based on the architecture of virtual instrumentation technology. Seismic reflection wave imaging experiments are conducted in several scenarios, and the experimental results meet the application requirements. The experiments demonstrate that the system can accurately image the velocity of subsurface media using seismic reflection waves and virtual instrumentation hardware and software systems.
Publisher
Research Square Platform LLC
Reference10 articles.
1. Propagation characteristics of seismic waves in shallow soil with the unsaturated three-phase poroelastic model;Ding W;ACTA PHYSICA SINICA,2014
2. Seismic image waves;Hubral P;GEOPHYSICAL JOURNAL INTERNATIONAL,1996
3. Development of Virtual Instrument for Uniaxial Compression Testing of Rock Samples;Kuhinek D;MEASUREMENT SCIENCE REVIEW,2011
4. Computation of two-dimensional Fourier transforms for noisy band-limited signals;Chen WD;APPLIED MATHEMATICS AND COMPUTATION,2014
5. Sinenian, N., Zylstra, A.B., Manuel, M.J.E., Frenje, J.A., Kanojia, A.D., Stillerman, J., & Petrasso, R.D. (2013). A Multithreaded Modular Software Toolkit for Control of Complex Experiments. COMPUTING IN SCIENCE & ENGINEERING, 15(1), 66–75. doi: 10.1109/MCSE.2012.34.