Results 211 to 220 of about 6,885 (267)

A Wavefield-Domain Method for Refining Residual Timing Errors in Passive-Source Seismic Exploration. [PDF]

Sensors (Basel)
Song J, Zhu G, Li Q, Zhang Y.
europepmc   +1 more source

Feature Extraction and Unsupervised Classification of Roadway Fracture Signals: A Full-Section Wi-Fi Wireless Monitoring Approach. [PDF]

Sensors (Basel)
Zu C, Zhang W, Zhou Y, Peng C, Teng S, Zhao F.   +5 more
europepmc   +1 more source

Insights into the seismogenesis and tectonic implications of an isolated intraplate earthquake (M4.0) on February 17, 2025, in Delhi. [PDF]

Sci Rep
Prajapati SK, Bhattacharjee S, Pandey AK, Singh RK, Mishra OP.   +4 more
europepmc   +1 more source

Ground motion inversion method based on generalized chaotic particle swarm optimization. [PDF]

PLoS One
Sun B, Qi L.
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A Joint Waveform Inversion Strategy - Combing Full Waveform Inversion with Prismatic Waveform Inversion

Proceedings, 2015
Prismatic wave contains a lot of subsurface information that primary can not reach. In this paper, prismatic wave is used alone for imaging in order to improve the inversion speed of high and steep structure. Under the guidance of this idea, a prismatic waveform inversion (PWI) method is proposed.
Y.M. Qu, J.P. Huang, Z.C. Li, Y.T. Han, Q.Y. Li   +4 more
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Practical Strategies for Waveform Inversion

12th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 15–18 August 2011, 2011
The term “waveform inversion” refers to a collection of techniques that use the information from the times and waveform shapes of seismic data to derive high fidelity velocity models for seismic imaging. Waveform inversion was first introduced by Lailly, Tarantola, and Mora(Lailly, 1983; Tarantola, 1984; Mora, 1988). Since these pioneering efforts many
Chao Wang, Helen Delome, Carlos Calderon, David Yingst, Jacques Leveille, Robert Bloor, Paul Farmer   +6 more
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Correlative Full-Intensity Waveform Inversion

IEEE Transactions on Geoscience and Remote Sensing, 2019
Full-waveform inversion (FWI) is considered an effective technique for building high-resolution velocity models by fitting observed seismology waveforms. When the observed waveforms lack low frequencies or when the starting model is dissimilar to the true model, FWI usually suffers from cycle-skipping problems. To mitigate this difficulty, we propose a
Bin He, Yike Liu, Huiyi Lu, Zhendong Zhang 0003   +3 more
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Multiples Waveform Inversion

Proceedings, 2013
To increase the illumination of the subsurface and to eliminate the dependency of FWI on the source wavelet, we propose multiples waveform inversion (MWI) that transforms each hydrophone into a virtual point source with a time history equal to that of the recorded data.
D.L. Zhang, W. Dai, Z. Ge, G. Schuster
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Waveform inversion with attenuation

SEG Technical Program Expanded Abstracts 2012, 2012
We present the viscoacoustic wave equation and its adjoint to compensate for the attenuation of the seismic data in waveform inversion. The novelty is that these equations enable us to extrapolate wavefields by high-order finitedifference methods in centered grids rather than in staggered grids.
Jianyong Bai, David Yingst, Robert Bloor, Jacques Leveille   +3 more
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A complete waveform inversion

53rd EAEG Meeting, 1991
Seismic waveform inversion consists of minimizing misfit between observed and calculated wavefields. Since this misfit function could be highly non-linear, the only way to be sure of arriving at the global solution is to use a Monte-Carlo search. This is feasible if the number of unknown parameters is not too large.
S. C. Singh, M. Dietrich, F. Chapel
openaire   +1 more source