Tomographic inversion of near-surface Q factor by combining surface and cross-hole seismic surveys

Li, Guofa; Zheng, Hao; Zhu, Wenliang; Wang, Mingchao; Zhai, Tongli

doi:10.1007/s11770-016-0544-2

Cited by 8 publications

(2 citation statements)

References 25 publications

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“…Furthermore, some studies have used non-TCRMs to study carbonate rock porosity [ 15 , 16 ]. Some recent research advances in other disciplines have been applied to the study of carbonate rock porosity [ [17] , [18] , [19] , [20] ].…”

Section: Introductionmentioning

confidence: 99%

Karst study of Jinfo Mountain based on image analysis

Kuang,

Li,

Wang

2023

Heliyon

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Section: Introductionmentioning

confidence: 99%

Karst study of Jinfo Mountain based on image analysis

Kuang,

Li,

Wang

2023

Heliyon

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“…Consistent and comprehensive information about the subsurface is the most important goal to achieve in these geophysical inversions. The target depth can range from a few meters near the surface [10] to tens of kilometers in the crust and uppermost mantle system [11], and even thousands of kilometers on a global scale [12]. There are different methods that geophysical technology employs to explore the subsurface, i.e., electrical, gravity, magnetics, electromagnetics, and seismic.…”

Section: Introductionmentioning

confidence: 99%

Dispersion of Rayleigh Surface Waves and Electrical Resistivities Utilized to Invert Near Surface Structural Heterogeneities

Çakır

Çoşkun

2022

J. Hum. Earth Future

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The single-station Rayleigh surface wave group velocities and electrical resistivities are two data sets that we cooperatively employ to image the near surface (< 40-m) anomaly structures. We numerically simulate the corresponding field measurements where the anomaly structures are assumed to have two-dimensional (2D) variations. The surface waves are represented by fundamental mode dispersion curves, and the electrical resistivities are assumed to be measured by using direct currents. We consider two types of anomaly structures, i.e., cavity and ore body. These two heterogeneities are easily distinguished from the surrounding geomaterial by their distinct physical properties. The cavity is characterized by low seismic velocity and high electrical resistivity, while the ore body is characterized by high seismic velocity and low electrical resistivity. The Rayleigh surface wave data is assumed to be collected throughout the classical common-shot gather. Multiple electrodes, multiple core cables, and multiple arrays are assumed to be used in the electrical survey. Both surface wave group velocities and electrical resistivities are shown to properly invert the anomalous structures in the subsurface. The surface wave group velocities have good horizontal resolution, while the corresponding vertical resolution is somewhat lower. The electrical resistivities have good resolution for shallow structures, but the resolution becomes somewhat reduced with increasing depth. Doi: 10.28991/HEF-2022-03-01-01 Full Text: PDF

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Inversion-based data-driven time-space domain random noise attenuation method

Zhao

Wang

et al. 2017

Appl. Geophys.

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Tomographic inversion of near-surface Q factor by combining surface and cross-hole seismic surveys

Cited by 8 publications

References 25 publications

Karst study of Jinfo Mountain based on image analysis

Karst study of Jinfo Mountain based on image analysis

Dispersion of Rayleigh Surface Waves and Electrical Resistivities Utilized to Invert Near Surface Structural Heterogeneities

Inversion-based data-driven time-space domain random noise attenuation method

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