Joint Inversion of 1-D Magnetotelluric and Surface-Wave Dispersion Data with an Improved Multi-Objective Genetic Algorithm and Application to the Data of the Longmenshan Fault Zone

Magnetotellurics and seismic surface waves are two prominent geophysical methods for deep underground exploration. Joint inversion of these two datasets can help enhance the accuracy of inversion. In this paper, we describe a method for developing an improved multi-objective genetic algorithm (NSGA–...

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Veröffentlicht in:Pure and applied geophysics Jg. 175; H. 10; S. 3591 - 3604
Hauptverfasser: Wu, Pingping, Tan, Handong, Peng, Miao, Ma, Huan, Wang, Mao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.10.2018
Springer Nature B.V
Schlagworte:
Algorithms
Channel flow
Conductivity
Data processing
Detection
Earth and Environmental Science
Earth Sciences
Electrical resistivity
Exploration
Fault lines
Fault zones
Genetic algorithms
Geophysical exploration
Geophysical methods
Geophysics
Geophysics/Geodesy
Inversions
Mathematical models
Multiple objective analysis
Seismic velocities
Surface waves
Velocity
Wave dispersion
Wave velocity
Magnetotellurics
joint inversion
surface wave
NSGA–SBX
ISSN:0033-4553, 1420-9136
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Zusammenfassung:Magnetotellurics and seismic surface waves are two prominent geophysical methods for deep underground exploration. Joint inversion of these two datasets can help enhance the accuracy of inversion. In this paper, we describe a method for developing an improved multi-objective genetic algorithm (NSGA–SBX) and applying it to two numerical tests to verify the advantages of the algorithm. Our findings show that joint inversion with the NSGA–SBX method can improve the inversion results by strengthening structural coupling when the discontinuities of the electrical and velocity models are consistent, and in case of inconsistent discontinuities between these models, joint inversion can retain the advantages of individual inversions. By applying the algorithm to four detection points along the Longmenshan fault zone, we observe several features. The Sichuan Basin demonstrates low S-wave velocity and high conductivity in the shallow crust probably due to thick sedimentary layers. The eastern margin of the Tibetan Plateau shows high velocity and high resistivity in the shallow crust, while two low velocity layers and a high conductivity layer are observed in the middle lower crust, probably indicating the mid-crustal channel flow. Along the Longmenshan fault zone, a high conductivity layer from ~ 8 to ~ 20 km is observed beneath the northern segment and decreases with depth beneath the middle segment, which might be caused by the elevated fluid content of the fault zone.
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ISSN:0033-4553
1420-9136
DOI:10.1007/s00024-018-1884-z