Velocity Construction Using Active and Passive Multi-Component Seismic Data Based On Elastic Full Waveform Inversion

Zhang, P.; Han, Liguo; Ge, Qichao; Zhang, F.; Yin, Yuchen

doi:10.3997/2214-4609.201801227

Cited by 2 publications

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“…Zhang et al used seismic interferometry to construct the virtual source from passive noise data and applied the source-independent FWI for velocity inversion [29]. Zhang et al proposed the joint elastic wave full-waveform inversion for two different types of source seismic data that combine both active and passive sources [30].…”

Section: Introductionmentioning

confidence: 99%

“…Use the passive seismic data to compensate for the insufficient illumination of the active seismic data [28,30]; 3.…”

mentioning

confidence: 99%

“…Directly apply FWI to the passive source seismic data to construct an initial model for the active source seismic data FWI; 2. Use the passive seismic data to compensate for the insufficient illumination of the active seismic data [28,30]; 3. Merge the active source and passive source seismic data using a specific method to compensate for the low-frequency information; and 4.…”

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confidence: 99%

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Multisource Seismic Full Waveform Inversion of Metal Ore Bodies

Zhang

et al. 2021

Minerals

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The seismic exploration method could explore deep metal ore bodies (depth > 1000 m). However, it is difficult to describe the geometry of the complex metal ore body accurately. Seismic full waveform inversion is a relatively new method to achieve accurate imaging of subsurface structures, but its success requires better initial models and low-frequency data. The seismic data acquired in the metal mine area is usually difficult to meet the requirements of full waveform inversion. The passive seismic data usually contains good low frequency information. In this paper, we use both passive and active seismic datasets to improve the full waveform inversion results in the metal mining area. The results show that the multisource seismic full waveform inversion could obtain a suitable result for high-resolution seismic imaging of metal ore bodies.

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Section: Introductionmentioning

confidence: 99%

“…Use the passive seismic data to compensate for the insufficient illumination of the active seismic data [28,30]; 3.…”

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confidence: 99%

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