Results 141 to 150 of about 240,017 (204)

Subducting plate structure and megathrust morphology from deep seismic imaging linked to earthquake rupture segmentation at Cascadia. [PDF]

Sci Adv
Carbotte SM, Boston B, Han S, Shuck B, Beeson J, Canales JP, Tobin H, Miller N, Nedimovic M, Tréhu A, Lee M, Lucas MC, Jian H, Jiang D, Moser L, Anderson C, Judd D, Fernandez J, Campbell C, Goswami A, Gahlawat R.   +20 more
europepmc   +1 more source

Prestack structurally constrained impedance inversion

GEOPHYSICS, 2018
Classical prestack impedance inversion methods are based on performing a common-depth point (CDP) by CDP inversion using Tikhonov-type regularization. We refer to it as lateral unconstrained inversion (1D-LUI). Prestack seismic data usually have a low signal-to-noise ratio, and the 1D-LUI approach is sensitive to noise.
Haitham Hamid, Adam Pidlisecky, Larry Lines   +2 more
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Comparative Study on Applicability of Prestack AVO Inversion and Prestack Elastic Parameter Inversion for Reservoir Prediction

Springer Series in Geomechanics and Geoengineering, 2022
Tian-yun Wang, Wei Liu, Yan Hou, Yuan Li, Ning Liu, Qing-xiang Ding   +5 more
exaly   +2 more sources

Prestack seismic inversion with structural constraints

Interpretation, 2021
Abstract Prestack seismic inversion usually suffers from a lower signal-to-noise ratio, which could result in unstable inversion results. The conventional multitrace lateral constrained inversion blurs steeply dipping layers, whereas the simple structural constrained inversion is affected by noise.
Dong Li, Suping Peng, Rui Zhang, Yinling Guo, Yongxu Lu, Xiaoqin Cui   +5 more
openaire   +1 more source

APES for Prestack Inversion

Proceedings, 2015
Limited by the bandwidth of the wavelet, prestack seismic inversion is ill-posed as well as poststack inversion. Some prior constraints are helpful to guide the solution. However, prior information is not necessarily provided or met in practice. Thus it is important to relax constraints of inversion. In this study, the amplitude and phase estimation of
C.M. Luo, S.X. Wang, S.Y. Yuan, J.G. Zhao, G. Tang   +4 more
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Structure-oriented prestack waveform inversion

Geophysics, 2022
ABSTRACT The prediction of elastic parameters (i.e., P-, S-wave velocity, and density) is one of the key tasks of seismic reservoir characterization. The amplitude-variation-with-offset/angle seismic inversion based on the exact Zoeppritz equation (EZE) or its approximations presupposes a single interface and ignores wave-propagation ...
Jian Zhang, Xiaoyan Zhao, Jingye Li, Xiaohong Chen   +3 more
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Improving the quality of prestack inversion by prestack data conditioning

Interpretation, 2014
Abstract Prestack seismic inversion techniques provide valuable information of rock properties, lithology, and fluid content for reservoir characterization. The confidence of inverted results increases with increasing incident angle of seismic gathers.
Bo Zhang, Deshuang Chang, Tengfei Lin, Kurt J. Marfurt   +3 more
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Prestack Waveform Inversion by Using an Optimized Linear Inversion Scheme

IEEE Transactions on Geoscience and Remote Sensing, 2019
Seismic waveform inversion has been one of the most studied topics in recent years, which can be implemented both in common shot gather and prestack common midpoint gather. However, there are still several intractable issues to be addressed urgently, such as high-computational complexity, nonuniqueness, and robustness.
Guangtan Huang, Xiaohong Chen 0003, Cong Luo, Xiangyang Li 0003   +3 more
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Machine Learning-Based Seafloor Seismic Prestack Inversion

IEEE Transactions on Geoscience and Remote Sensing, 2021
Machine learning (ML) is emerging as a new approach for developing algorithms in geophysical research. In this study, a six-layer neural network is designed to estimate seafloor properties using seismic prestack data. In conjunction with the designed neural network architecture, a straightforward network training scheme is developed, which is efficient
Yangting Liu, Yu Zhong
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Prestack migration deconvolution+AVO inversion

SEG Technical Program Expanded Abstracts 2003, 2003
Measuring reection amplitude versus oset (AVO) has proved to be eective in reservoir characterization. Experience shows that AVO inversion methods based on amplitude-preserved prestack migration typically provides a more accurate lithology estimate than NMO-based AVO analysis.
Jianhua Yu, Jianxing Hu
openaire   +1 more source