Results 151 to 160 of about 600,749 (229)

Seismic evidence for complex sedimentary control of Greenland Ice Sheet flow. [PDF]

Sci Adv, 2017
Kulessa B, Hubbard AL, Booth AD, Bougamont M, Dow CF, Doyle SH, Christoffersen P, Lindbäck K, Pettersson R, Fitzpatrick AAW, Jones GA.   +10 more
europepmc   +1 more source

Deep-biosphere methane production stimulated by geofluids in the Nankai accretionary complex. [PDF]

Sci Adv, 2018
Ijiri A, Inagaki F, Kubo Y, Adhikari RR, Hattori S, Hoshino T, Imachi H, Kawagucci S, Morono Y, Ohtomo Y, Ono S, Sakai S, Takai K, Toki T, Wang DT, Yoshinaga MY, Arnold GL, Ashi J, Case DH, Feseker T, Hinrichs KU, Ikegawa Y, Ikehara M, Kallmeyer J, Kumagai H, Lever MA, Morita S, Nakamura KI, Nakamura Y, Nishizawa M, Orphan VJ, Røy H, Schmidt F, Tani A, Tanikawa W, Terada T, Tomaru H, Tsuji T, Tsunogai U, Yamaguchi YT, Yoshida N.   +40 more
europepmc   +1 more source

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Multitask Full Attention U-Net for Prestack Seismic Inversion

IEEE Geoscience and Remote Sensing Letters, 2023
Deep learning (DL) has been widely used in seismic inversion. Since the label data obtained in production are actually a small amount of 1-D well-log data, most DL-based seismic inversion is 1-D trace-to-trace method based on poststack seismic data ...
Bangyu Wu, Hui Yang, Xudong Liu
exaly   +3 more sources

Prestack Seismic Inversion With Data-Driven MRF-Based Regularization

IEEE Transactions on Geoscience and Remote Sensing, 2021
Regularization is effective in mitigating the ill-condition existing in inverse problems. With respect to the ill-conditioned prestack seismic inversion, regularization aims to stabilize the multiple inverted results and, essentially, reconstruct structural features of subsurface parameter (model) as realistic as possible.
Qiang Guo, Jing Ba, Cong Luo
exaly   +4 more sources

Prestack Seismic Inversion Based on Anisotropic Markov Random Field

IEEE Transactions on Geoscience and Remote Sensing, 2018
Prestack seismic inversion is an ill-posed problem and must be regularized to stabilize the inverted results. In particular, edge-preserving regularization with prior constraints based on Markov random field (MRF) has proved to be an effective technique for reconstructing subsurface models.
Qiang Guo, Feilong Han, Hongbing Zhang
exaly   +4 more sources

The 3-D Global Prestack Seismic Inversion in the Time–Frequency Mixed Domain

IEEE Transactions on Geoscience and Remote Sensing, 2023
Traditional seismic inversion has the problems of low lateral resolution and poor anti-noise performance. To address these challenges, the advantages of inversion methods in time and frequency domains are combined; the Lp norm that can preserve more ...
Xiaotao Wen, Kai Lin, Lian Zhao
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   +2 more sources

Deep-Learning-Based Prestack Seismic Inversion Constrained by AVO Attributes

IEEE Geoscience and Remote Sensing Letters
Sanyi Yuan, Qiang Ge, Hong Cao
exaly   +4 more sources

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
Zhong Yu, Yangting Liu
exaly   +3 more sources

A Hierarchical Prestack Seismic Inversion Scheme for VTI Media Based on the Exact Reflection Coefficient

IEEE Transactions on Geoscience and Remote Sensing, 2022
Seismic exploration of unconventional hydrocarbon reservoirs (e.g., shale rocks) must take into account the VTI characteristics (transverse isotropy with a vertical axis of symmetry).
José M. Carcione, Jing Ba, Cong Luo
exaly   +2 more sources