Results 31 to 40 of about 20,612 (268)
Subsonic near-surface P-velocity and low S-velocity observations using propagator inversion [PDF]
, 2005 Detailed knowledge of near-surface P- and S-wave velocities is important for processing and interpreting multicomponent land seismic data because (1) the entire wavefield passes through and is influenced by the near-surface soil conditions, (2) both ...
Andrew Curtis +5 more
core +1 more source
Global crustal thickness from neural network inversion of surface wave data [PDF]
, 2007 We present a neural network approach to invert surface wave data for a global model of crustal thickness with corresponding uncertainties. We model the a posteriori probability distribution of Moho depth as a mixture of Gaussians and let the various ...
Andrew Curtis +5 more
core +1 more source
Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis [PDF]
International Journal of Mining and Geo-Engineering, 2015 Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of ...
Moslem Moradi +4 more
doaj
Energies, 2020 Seismic reflection coefficient inversion in the joint time-frequency domain is a method for inverting reflection coefficients using time domain and frequency domain information simultaneously.
Xuegong Zhao +4 more
doaj +1 more source
Energies, 2022 In order to solve the problem that elastic parameter constraints are not taken into account in local lithofacies updating in multi-point geostatistical inversion, a new multi-point geostatistical inversion method with local facies updating under seismic ...
Zhihong Wang +4 more
doaj +1 more source
Seismic Inversion by Hybrid Machine Learning [PDF]
Journal of Geophysical Research: Solid Earth, 2021 AbstractWe present a hybrid machine learning (HML) inversion method, which uses the latent space (LS) features of a convolutional autoencoder (CAE) to estimate the subsurface velocity model. The LS features are the effective low‐dimensional representation of the high‐dimensional seismic data.
Yuqing Chen, Erdinc Saygin
openaire +4 more sources
Waveform inversion of the S reflector west of Spain: fine structure of a detachment fault. [PDF]
, 2005 The S reflection west of Iberia has been interpreted as a low-angle detachment fault separating crustal fault blocks from partially serpentinized mantle. We apply full waveform inversion to investigate the fine structure of S.
Minshull, TA +7 more
core +1 more source
Model space dimensionality reduction method of mine seismic wave velocity inversio
Gong-kuang zidonghua, 2018 For problems of slow convergence speed and large calculation amount existed in non-linear inversion methods of mine seismic wave velocity inversion, a model space dimensionality reduction method of mine seismic wave velocity inversion was proposed based ...
CHEN Qing, LIU Xiaowen
doaj +1 more source
Multichannel seismic impedance inversion based on Attention U-Net
Frontiers in Earth Science, 2023 Recently, seismic inversion has made extensive use of supervised learning methods. The traditional deep learning inversion network can utilize the temporal correlation in the vertical direction.
Juan Ning +4 more
doaj +1 more source
Key technologies for seismic reservoir characterization of high water-cut oilfields
Petroleum Exploration and Development, 2012 Reservoir characterization in mature oil fields with high water cut faces the challenges of small geological bodies, large well density, and data acquisition spreading over long periods.
Lideng GAN +9 more
doaj +1 more source