Short range geoacoustic inversion with a vertical line array
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1 Short range geoacoustic inversion with a vertical line array Yong-Min Jiang 1, N. Ross Chapman 1 and Peter Gerstoft 2 1University of Victoria, Victoria, BC, Canada 2Marine Physical Laboratory, Scripps Institution of Oceanography, La Jolla, CA, USA Work supported by ONR
2 Objective: Travel time geoacoustic inversion in a time varying ocean environment using broadband signal and vertical line array Outline: Experimental site & geometric setting up The time varying environment The inversion procedure Energy function, forward model and inversion algorithm Comparison of the inversion results with geophysical survey Conclusions
3 Experimental site & set up 15 m 25 m 35 m 45 m 55 m 65 m
4 The time varying oceanic SSP end start
5 The effect of SSP on signal amplitude
6 The effect of SSP on arrival time
7 Travel time inversion 15 m 25 m 35 m 45 m 55 m 65 m The difficulties of reflection coefficient inversion Signal amplitude fluctuation, micro-path interference in the direct arrivals We need to treat each source depth data separately because of time varying SSP Travel time inversion procedure experimental geometry at SD = 65 m: WD, R, SD and VLA tilt at other source depths, invert for water column SSP sediment sound speed and layer thickness at all source depths
8 Environmental parameterization Water column SSP is included in the inversion in terms of EOF SSP casts measured on JD SSPs measured before and after the experiment Fit only the thermocline region in the inversion Only the first 4 EOF coefficients are included in the inversion
9 Geoacoustic parameterization Source depth: 25 m Source depth: 35 m Geoacoustic parameterization is based on the resolvable layers in the data Source depth: 45 m Hydrophone no. 15 (a) direct arrival SR BR SRBR BRSR Time (ms) Source depth: 55 m Hydrophone no. 15 (b) direct arrival SR BR SRBR BRSR Time (ms) Source depth: 65 m Hydrophone no (c) direct arrival SR BR BRSR Time (ms) SRBR Hydrophone no. 15 (d) direct arrival BR SR BRSR SRBR Time (ms) Hydrophone no. 15 (e) direct arrival BR BRSR SR SRBR Time (ms)
10 Geoacoustic parameterization continued
11 Energy function, forward model and inversion algorithm Energy function: E( m) N N = L H i= 1 j= 1 ( t, T, ( m)) i j i j 2 Forward model: Based on ray theory. Inversion algorithm: Optimization algorithm - ASDE (Adaptive Simplex Differential Evolution) Embed downhill simplex (local search) into differential evolution (global search)
12 Example of SSP inversion result Travel time fit for SSP inversion Inverted SSP for SD = 25 m data
13 Example of geoacoustic inversion result Travel time fit for I-layer geoacoustic inversion Travel time fit for 2-layer geoacoustic inversion
14 Comparison with geophysical survey data From John Goff WP19, ~ 230 m TABLE I. Travel time inversion results for one layer over half space model TABLE II. Travel time inversion results for two-layer over half space model Parameter Source depth 25 m 35 m 45 m 55 m 65 m layer thickness (m) sound speed (m/s) TWT (ms) Source depth layer I layer II sound speed layer thickness sound speed layer thickness 55 m 1581 m/s 11.9 m 1602 m/s 9.1 m 65 m 1584 m/s 14.5 m 1611 m/s 8.4 m
15 Summary Water column SSP has great impact on geoacoustic inversion. SSP in terms of EOFs included in the inversion ( geometric, geoacoustic parameters) The limitation Future work Quantify the uncertainty of the estimates Acknowledgements Office of Naval Research: for sponsoring the research Dr. William Hodgkiss from (acoustic data) Dr. John Goff from Institute of Geophysics, University of Texas at Austin (geophysical chirp seismic reflection data)
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