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Joint Inversion of Rayleigh-wave Dispersion Curve for Near-Surface S-Wave Velocity Estimation
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, EAGE-HAGI 1st Asia Pacific Meeting on Near Surface Geoscience and Engineering, Apr 2018, Volume 2018, p.1 - 5
Abstract
The most important step in surface wave method is inverting Rayleigh wave dispersion curve for near-surface shear-wave velocity estimation. Joint inversion of Rayleigh wave dispersion curve has been developed. We combine the advantages of two different optimization methods, the genetic algorithm (GA) and Occam’s Algorithm. First, we use GA with small number generation to get the possible output solution, then we improve the solution (shear-wave velocity and thickness of layer) using Occam’s algorithm. We use several synthetic models to show performance of the joint inversion. Numerical errors are shown to appraise the value accuracy inversion model. Inversion of the synthetic dispersion curves for the four layers model provides most accurate solution models with is 0.0005 % and is 0.001%. Whereas, that for the six layers model also presents accurate result with is 1.48% and is 12.51 %. These errors indicate that the accuracy apply successfully join inversion scheme and promising application of surface wave.