RR-PSO: Fast and robust algorithm to invert Rayleigh waves dispersion

Dharma Arung Laby; Bagus J. Santosa; Ayi S. Bahri

doi:10.12988/ces.2016.6685

RR-PSO: Fast and robust algorithm to invert Rayleigh waves dispersion

Dharma Arung Laby, Sungkono, Bagus J. Santosa, Ayi S. Bahri

Institut Teknologi Sepuluh Nopember

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Shear-wave velocity (V_s) is commonly used in geophysical and environmental studies as one of important parameters to characterize near surface study. This parameter can be estimated via the inversion of Rayleigh waves dispersion curves. In this paper, regressive-regressive particle swarm optimization (RR-PSO) algorithm has been developed and used to invert Rayleigh waves dispersion. The algorithm was tested and applied for synthetics (a free-noise and a noise-added) and field data. The results show that RR-PSO is a fast inversion tool and robust toward noise which can precisely determine the lithology of survey field.

Original language	English
Pages (from-to)	735-741
Number of pages	7
Journal	Contemporary Engineering Sciences
Volume	9
Issue number	13-16
DOIs	https://doi.org/10.12988/ces.2016.6685
Publication status	Published - 2016

Keywords

Global optimization
RR-PSO
Rayleigh waves
Uncertainty analysis

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title = "RR-PSO: Fast and robust algorithm to invert Rayleigh waves dispersion",

abstract = "Shear-wave velocity (Vs) is commonly used in geophysical and environmental studies as one of important parameters to characterize near surface study. This parameter can be estimated via the inversion of Rayleigh waves dispersion curves. In this paper, regressive-regressive particle swarm optimization (RR-PSO) algorithm has been developed and used to invert Rayleigh waves dispersion. The algorithm was tested and applied for synthetics (a free-noise and a noise-added) and field data. The results show that RR-PSO is a fast inversion tool and robust toward noise which can precisely determine the lithology of survey field.",

keywords = "Global optimization, RR-PSO, Rayleigh waves, Uncertainty analysis",

author = "Laby, {Dharma Arung} and Sungkono and Santosa, {Bagus J.} and Bahri, {Ayi S.}",

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AU - Laby, Dharma Arung

AU - Sungkono,

AU - Santosa, Bagus J.

AU - Bahri, Ayi S.

PY - 2016

Y1 - 2016

N2 - Shear-wave velocity (Vs) is commonly used in geophysical and environmental studies as one of important parameters to characterize near surface study. This parameter can be estimated via the inversion of Rayleigh waves dispersion curves. In this paper, regressive-regressive particle swarm optimization (RR-PSO) algorithm has been developed and used to invert Rayleigh waves dispersion. The algorithm was tested and applied for synthetics (a free-noise and a noise-added) and field data. The results show that RR-PSO is a fast inversion tool and robust toward noise which can precisely determine the lithology of survey field.

AB - Shear-wave velocity (Vs) is commonly used in geophysical and environmental studies as one of important parameters to characterize near surface study. This parameter can be estimated via the inversion of Rayleigh waves dispersion curves. In this paper, regressive-regressive particle swarm optimization (RR-PSO) algorithm has been developed and used to invert Rayleigh waves dispersion. The algorithm was tested and applied for synthetics (a free-noise and a noise-added) and field data. The results show that RR-PSO is a fast inversion tool and robust toward noise which can precisely determine the lithology of survey field.

KW - Global optimization

KW - RR-PSO

KW - Rayleigh waves

KW - Uncertainty analysis

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JO - Contemporary Engineering Sciences

JF - Contemporary Engineering Sciences

IS - 13-16

ER -

RR-PSO: Fast and robust algorithm to invert Rayleigh waves dispersion

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Keywords

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