DEVELOPMENT OF A SYSTEM FOR GENERATING AND ACQUIRING ULTRASONIC WAVES APPLIED TO SEISMIC ANALYSIS EXPERIMENTS IN A SANDBOX
Seismic, Educational bench, instrumentation
Seismic modeling in sandboxes is an effective approach to replicating geological features and investigating the propagation of seismic waves in a controlled environment, providing results closer to reality compared to purely computational simulations. This technique is widely used to explore the interaction of seismic waves with various material layers, allowing for detailed study of phenomena such as reflection, refraction, and wave dispersion at complex interfaces. This is particularly important in the exploration of large structures, such as sedimentary basins and continental margins, where accuracy in identifying layers and faults is crucial for resource exploration.
This work focuses on the development of a system for generating and acquiring ultrasonic signals using a DSP (Digital Signal Processor), which is responsible for the real-time generation and processing of seismic signals. The DSP is configured to generate waveforms, such as the Ricker wave, and acquire the signals received by ultrasonic transducers. These transducers, when emitting and receiving signals through amplifiers that will be developed throughout the project, enable the precise capture of seismic reflections, which are processed for the reconstruction of images of the simulated structures.
A challenge faced in consolidating this work is the high cost of broadband ultrasonic sensors, which can respond to a wide range of frequencies reflected by different types of materials. To overcome this obstacle, this project will use more affordable commercial sensors with narrower bandwidths, combined with material selection techniques to maximize the observation of reflections between layers. This approach aims to balance cost and efficiency, enabling the achievement of precise results even with more limited resources.
The development of DSP-based systems not only facilitates the acquisition of high-quality data but also promotes innovation in experimental methodologies in geophysics, offering a flexible and efficient platform for investigating seismic responses under different geological conditions.