A comparison of time-reversal and inverse-source methods for the optimal delivery of wave energy to subsurface targets
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ArticleDate
2016-08-20Permanent link to this record
http://hdl.handle.net/10754/678426
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Elastic wave stimulation of targets embedded in heterogeneous elastic solids has potential applications in medicine (treatment of tumors, lithotripsy), petroleum engineering, environmental engineering, hydro-geology, etc. Systematic methodologies for designing the wave sources that focus optimally the emitted energy into the target zone are important for ensuring the efficiency of the wave energy delivery process. In this article, we compare two methodologies that could be used for designing wave sources that maximize wave-based stimulation of the target region: a time-reversal (TR) approach and an inverse-source (IS) approach. The former relies on the linearity and reciprocity admitted by the governing physics, and the latter is an optimization-based framework that attempts maximization of a wave motion metric in the target zone. Whereas closed cavity problems are easier to treat, here we concentrate on the challenging problem of wave energy focusing to subsurface geo-formations using motion actuators placed on the ground surface. We formulate the underlying wave propagation problem for two-dimensional, semi-infinite, elastic, heterogeneous domains. We define motion metrics to measure the energy expended by the wave sources, and the kinetic energy delivered to the target formation. We conduct numerical experiments and compare the relative performance of the wave sources designed using the TR and the IS approaches. Both methods have advantages and disadvantages: for remote targets in well-characterized formations IS is preferred; whereas TR is preferable when a source can be embedded in the target. Both methods have similar efficiency.Citation
Koo, S., Karve, P. M., & Kallivokas, L. F. (2016). A comparison of time-reversal and inverse-source methods for the optimal delivery of wave energy to subsurface targets. Wave Motion, 67, 121–140. doi:10.1016/j.wavemoti.2016.07.011Sponsors
The authors' work was partially supported by an Academic Alliance Excellence grant between the King Abdullah University of Science and Technology in Saudi Arabia (KAUST) and the University of Texas at Austin. The support is gratefully acknowledged.Publisher
ELSEVIER SCIENCE BVJournal
WAVE MOTIONAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S0165212516300889ae974a485f413a2113503eed53cd6c53
10.1016/j.wavemoti.2016.07.011