Results 301 to 310 of about 24,964,284 (390)

Improvement of the Evaluation of Seismic Risk in Fault Areas by Lidar-Derived Geophysical Data

Collins O. Molua
openalex   +2 more sources

Seismic Data Acquisition and Processing

, 2011
openaire   +3 more sources

Navigating a Geriatrics Academic Career in Uncertain Times: Collective Resilience, Persistence, and the Value of Community

Journal of the American Geriatrics Society, EarlyView.
Maile A. Y. Karris, Liron D. Sinvani, Megan E. Young, Timothy W. Farrell   +3 more
wiley   +1 more source

AI-assisted optimization design of seismic performance parameters for timber structures. [PDF]

PLoS One
Wei D, Ding Y, Zhou F, Zhang X.
europepmc   +1 more source

Probabilistic 3D lithology classification from elastic property volumes an advanced inversion workflow at Desouq Gas Field, West Nile Delta, Egypt. [PDF]

Sci Rep
El Hateel MS, El Sayed AMA, El-Werr AK, Abdel-Hady A.   +3 more
europepmc   +1 more source

Selective Trace Mix: A New Processing Tool to Enhance Seismic Imaging of Complex Subsurface Structures. [PDF]

J Imaging
Rashed M, Al-Amri N, Halawani R, Atef A, Harbi H.   +4 more
europepmc   +1 more source

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Seismic Data Reconstruction via Wavelet-based Residual Deep Learning

IEEE Transactions on Geoscience and Remote Sensing, 2022
Seismic data reconstruction is one of the essential steps in seismic data processing. Recently, the deep learning (DL) models have attracted huge attention in seismic exploration, which have been applied to seismic data reconstruction, especially the ...
Naihao Liu, Lukun Wu, Jiale Wang, Hao Wu, Jinghuai Gao, Dehua Wang   +5 more
semanticscholar   +3 more sources

Poststack Seismic Data Denoising Based on 3-D Convolutional Neural Network

IEEE Transactions on Geoscience and Remote Sensing, 2020
Deep learning has been successfully applied to image denoising. In this study, we take one step forward by using deep learning to suppress random noise in poststack seismic data from the aspects of network architecture and training samples.
Dawei Liu, Wei Wang, Xiaokai Wang, Cheng Wang, Jiang-yun Pei, Wenchao Chen   +5 more
semanticscholar   +3 more sources

Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples

Geophysics, 2022
The physics that describes the seismic response of an interval of saturated porous rocks with known petrophysical properties is relatively well understood and includes rock physics, petrophysics and wave propagation models.
D. Grana, L. Azevedo, L. D. de Figueiredo, P. Connolly, T. Mukerji   +4 more
semanticscholar   +1 more source

Consecutively Missing Seismic Data Interpolation Based on Coordinate Attention Unet

IEEE Geoscience and Remote Sensing Letters, 2022
Missing traces interpolation is a basic step in the seismic data processing workflow. Recently, many seismic data interpolation methods based on different neural networks have been proposed.
Xinze Li, Bangyu Wu, Xu Zhu, Hui Yang
semanticscholar   +1 more source