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- W2896050545 abstract "Summary Nowadays waveform modeling-based seismic imaging schemes, such as RTM and FWI, are widely used for the subsurface imaging. The use of waveform modeling-based imaging schemes for land seismic data is not always a straightforward process, and their pre-processing plays key role in the final result. One of the pre-processing steps is surface-consistent amplitude correction to deal with source/receiver response sensitivity and adjust the amplitude of field data to make it suitable for the used imaging scheme. In this paper, we present a novel surface amplitude correction framework based on utilizing the amplitude spectrum of the modeled data produced from some synthetic models in order to tackle these problem. A synthetic and a field data example are shown to discuss the effectiveness of the proposed approach." @default.
- W2896050545 created "2018-10-26" @default.
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- W2896050545 date "2018-06-11" @default.
- W2896050545 modified "2023-09-23" @default.
- W2896050545 title "Surface-consistent Seismic Data Amplitude Correction Via Learning from Synthetic Models Based On Waveform Modeling" @default.
- W2896050545 doi "https://doi.org/10.3997/2214-4609.201801108" @default.
- W2896050545 hasPublicationYear "2018" @default.
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