Design and Performance Simulation of Acoustic Metamaterial Particle for Downhole Monitoring

In response to the limitations of traditional acoustic detection technology in terms of the range and accuracy of subsurface information identification, this study explores subsurface acoustic enhancement contrast technology. Based on the mass-spring structural model, this paper establishes an acoustic characteristic model for metamaterial particles, characterizing the special acoustic frequency and intensity characteristics of passive sound-emitting metamaterial particles. In this paper, the unique acoustic properties of acoustic metamaterials are used to design acoustic metamaterial particles, and the material structure size is optimized. The material composition was determined, and the performance of the designed acoustic metamaterial particles was simulated by finite element method. It was found that the designed acoustic metamaterial particles had special acoustic frequency bands, and the characteristic frequency gradually increased as the particle size decreased. Through the acoustic finite element simulation of the metamaterial particle group, it is found that in the frequency range of the acoustic band gap, the sound wave cannot penetrate the metamaterial particle group, and most of them are reflected. Outside the acoustic band gap, the sound wave can penetrate the metamaterial particle group. The designed acoustic metamaterial particles have the capability for subsurface acoustic enhancement contrast and show potential for wellbore integrity and fracture monitoring.