Results 51 to 60 of about 4,402 (163)

Seismic inversion by Newtonian machine learning

Geophysics, 2020
ABSTRACT We present a wave-equation inversion method that inverts skeletonized seismic data for the subsurface velocity model. The skeletonized representation of the seismic traces consists of the low-rank latent-space variables predicted by a well-trained autoencoder neural network.
Yuqing Chen, Gerard T. Schuster
openaire   +3 more sources

Elastic Wave Phase Inversion in the Local-Scale Frequency–Wavenumber Domain with Marine Towed Simultaneous Sources

Journal of Marine Science and Engineering
Elastic full waveform inversion (EFWI) is a crucial technique for retrieving high-resolution multi-parameter information. However, the lack of low-frequency components in seismic data may induce severe cycle-skipping phenomena in elastic full waveform ...
Shaobo Qu, Yong Hu, Xingguo Huang, Jingwei Fang, Zhihai Jiang   +4 more
doaj   +1 more source

Encoder-Decoder Architecture for 3D Seismic Inversion. [PDF]

Sensors (Basel), 2022
Gelboim M, Adler A, Sun Y, Araya-Polo M.
europepmc   +1 more source

Seismic inversion with L_2,0-norm joint-sparse constraint on multi-trace impedance model. [PDF]

Sci Rep, 2022
Dai R, Yang J.
europepmc   +1 more source

Fracture detection from Azimuth-dependent seismic inversion in joint time-frequency domain. [PDF]

Sci Rep, 2021
Pan X, Zhang D, Zhang P.
europepmc   +1 more source

Practical seismic inversion

, 1994
Seismic data contain information regarding the phase and amplitude of reflected events. Variations in amplitude, traveltime, and waveform as a function of offset are controlled by changes in the subsurface elastic properties. Analysis of prestack seismic data provides the opportunity to distinguish between changes in compressional-wave velocity, shear ...
openaire   +2 more sources

Quantitative and Qualitative Seismic Imaging and Seismic Inversion

, 2017
We consider seismic imaging to include seismic inversion. Imaging could use approximate operator or time instead of depth. Processing in time is an important part of seismic imaging as well as processing in depth. We can classify seismic imaging as quantitative versus qualitative methods.
Lau, August, Yin, Chuan
openaire   +2 more sources

Multiparameter Inversion of Seismic Pre-Stack Amplitude Variation with Angle Based on a New Propagation Matrix Method

Applied Sciences
The classical pre-stack seismic inversion technique uses the Zoeppritz equation and its simplified versions to calculate the PP and PS reflection coefficients at different incidence angles, aiding in inverting the subsurface velocity and density ...
Qianlong Ding, Shuangquan Chen, Jinsong Shen, Zuzhi Hu, Guoquan Wang   +4 more
doaj   +1 more source

Stochastic inversion method based on compressed sensing frequency division waveform indication prior

Frontiers in Earth Science
The stochastic inversion method using logging data as conditional data and seismic data as constraint data has a higher vertical resolution than the conventional deterministic inversion method.
Minmin Huang, Leyi Xu, Yanhui Zhu, Ye He, Zhiye Li, Ying Lin   +5 more
doaj   +1 more source

Tsallis Entropy, Likelihood, and the Robust Seismic Inversion. [PDF]

Entropy (Basel), 2020
de Lima IP, da Silva SLEF, Corso G, de Araújo JM.   +3 more
europepmc   +1 more source