Abstract

Bioengineering, which studies the principles and design of biological systems, is a field that has inspired the development of several technologies that are currently in use. In this work, we use concepts from the fish lateral line sensing mechanism and apply them to seismic imaging processing. The lateral line is a sensory system composed of an integrated array of mechanical sensors spanning along the fish body. We compare the array of sensors along body fish with the seismic acquisition, which employs an array of equally spaced identical mechanical sensors to image the Earth’s subsurface. In both situations, the mechanical sensors capture and process mechanical vibrations from the environment to produce useful information. We explore the strategy of using the low-pass and high-pass sensors schema of fish lateral line to improve the seismic technique. We use the full-wave inversion method to compare the conventional acquisition procedure of identical sensors with alternative sets of different sensors, which mimics the fish lateral line. Our results show that the alternate sensors arrangement surpasses the performance of the conventional acquisition method, using just half of the input information. The results point at an image processing technique that is computationally more efficient and economical than the usual seismic processing method.

Highlights

  • Seismic exploration techniques rely on the collection of massive volumes of data, which requires significant computing power [1]

  • We study an animal sensing strategy that improves the imaging methods used in seismology and exploration geophysics

  • Full-waveform inversion (FWI) is a seismic imaging methodology that reconstructs the subsurface using the information of the propagated mechanical wave reflected by the geologic layers [6]

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Summary

Introduction

Seismic exploration techniques rely on the collection of massive volumes of data, which requires significant computing power [1]. We explore ways to reduce data acquisition using fish lateral sensing inspired methods. Full-waveform inversion (FWI) is a seismic imaging methodology that reconstructs the subsurface using the information of the propagated mechanical wave reflected by the geologic layers [6].

Results
Conclusion

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