Results 211 to 220 of about 4,491 (252)
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Geophysics, 1983
Abstract Horizontally layered medium with waves at normal incidence. Efficient algorithm using O[N (log 2 N) 2 ] computations for N layers. The improvement over the O(N 2 ) computations required by recursive methods comes from using the fast Fourier transform to perform the convolutions.--Modified journal abstract.
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Abstract Horizontally layered medium with waves at normal incidence. Efficient algorithm using O[N (log 2 N) 2 ] computations for N layers. The improvement over the O(N 2 ) computations required by recursive methods comes from using the fast Fourier transform to perform the convolutions.--Modified journal abstract.
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Seismic Facies-Controlled Modelling for Seismic Inversion
Proceedings, 2018Summary Seismic inversion is a powerful reservoir characterization tool. Due to the bandlimited nature of seismic data, we need to build a low frequency model for inclusion in seismic inverted result to obtain absolute values of elastic parameters. The most commonly used method to build a low frequency model is through the simple interpolation and ...
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Eikonal solutions for the seismic inverse problem
Proceedings of the 50th Annual Southeast Regional Conference, 2012The seismic data driven inverse problem estimates the earth parameters from data collected on the earth surface and subject to known constraints. In this poster paper, a process of Monte Carlo (MC) parameter modeling is described. These model parameters are then used to compute travel times to earth reflectors.
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AVO precondicioning for seismic inversion
11th International Congress of the Brazilian Geophysical Society & EXPOGEF 2009, Salvador, Bahia, Brazil, 24-28 August 2009, 2009Luiz Geraldo Loures +1 more
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Deep learning for multidimensional seismic impedance inversion
Geophysics, 2021Zhengfa Bi +2 more
exaly
Physics-Constrained Seismic Impedance Inversion Based on Deep Learning
IEEE Geoscience and Remote Sensing Letters, 2022Yuqing Wang, Wenkai Lu, Haishan Li
exaly

