GUO Xiao, PANG Wei, ZHANG Xudong, et al. Design and performance simulation of acoustic metamaterial particle for downhole imaging [J]. Petroleum Drilling Techniques, 2025, 53(1):130−135. DOI: 10.11911/syztjs.2024123
Citation: GUO Xiao, PANG Wei, ZHANG Xudong, et al. Design and performance simulation of acoustic metamaterial particle for downhole imaging [J]. Petroleum Drilling Techniques, 2025, 53(1):130−135. DOI: 10.11911/syztjs.2024123

Design and Performance Simulation of Acoustic Metamaterial Particle for Downhole Imaging

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  • Received Date: November 30, 2023
  • Revised Date: October 31, 2024
  • Accepted Date: November 18, 2024
  • Available Online: November 18, 2024
  • The traditional acoustic detection technology depends on the difference in physical properties of formation, and the range and accuracy of information identification are limited. Therefore, acoustic metamaterial particles with a three-layer structure were designed by using the unique microstructure principle of acoustic metamaterials based on the mass-spring structure model. The material structure size was optimized, and the optimal material composition was selected. As a result, the acoustic characteristic model of metamaterial particles was established to characterize the special acoustic frequency and acoustic strength characteristics of passive acoustic metamaterial particles. The particle properties of acoustic metamaterials were simulated by finite element numerical simulation software. The results show that the acoustic metamaterial particles have special acoustic frequency bands, and the characteristic frequency gradually increases as the particle size decreases. Within the frequency range of the acoustic band gap, the acoustic wave cannot penetrate the metamaterial particle cluster, and most of them are reflected. Outside the acoustic band gap, the acoustic wave can penetrate the metamaterial particle cluster. The acoustic metamaterial particles can strengthen the downhole imaging and show potential for evaluating wellbore integrity and monitoring fractures.

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