Zobrazeno 1 - 10
of 242
pro vyhledávání: '"Huazhong Wang"'
Publikováno v:
BMC Plant Biology, Vol 21, Iss 1, Pp 1-36 (2021)
Abstract Background Salt stress hinders plant growth and production around the world. Autophagy induced by salt stress helps plants improve their adaptability to salt stress. However, the underlying mechanism behind this adaptability remains unclear.
Externí odkaz:
https://doaj.org/article/a377be1224e44e9cbf35fe06c953fd64
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 552 (2023)
Picking the reflection horizon is an important step in velocity inversion and seismic interpretation. Manual picking is time-consuming and no longer suitable for current large-scale seismic data processing. Automatic algorithms using different seismi
Externí odkaz:
https://doaj.org/article/89308f72dbe748dabc866ee9576d7c2c
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6275 (2022)
Random noise and missing seismic traces are common in field seismic data, which seriously affects the subsequent seismic processing flow. The complete noise-free high-dimensional seismic dataset in the frequency–space (f-x) domain under the local l
Externí odkaz:
https://doaj.org/article/b453e5c44476468189d7e9d25c80d777
Autor:
Bohan Zhang, Huazhong Wang
Publikováno v:
Energies, Vol 15, Iss 12, p 4302 (2022)
In seismic exploration, obtaining accurate bandwidth of the reflected signal is essential for determining seismic resolution. A portion of the stored energy is attenuated during signal propagation, narrowing the received seismic signal bandwidth. The
Externí odkaz:
https://doaj.org/article/42691c54dd004b5a8d5211d1fe9b8f9b
Autor:
Ruyi Zhang, Huazhong Wang
Publikováno v:
Geofluids, Vol 2021 (2021)
Based on the physical quantity of log data, the accurate identification of oil- and gas-bearing properties may be caused by the prestack inversion of fluid prediction, which will affect the success rate of exploration and development. Prestack data c
Externí odkaz:
https://doaj.org/article/b0937c46f3364def9f56240b2edf78e1
Publikováno v:
Energies, Vol 14, Iss 14, p 4105 (2021)
The estimation of the subsurface acoustic impedance (AI) model is an important step of seismic data processing for oil and gas exploration. The full waveform inversion (FWI) is a powerful way to invert the subsurface parameters with surface acquired
Externí odkaz:
https://doaj.org/article/10cb8ed57a244a06a4881ed249cd707c
Autor:
Zhen Zhang, Xiaoning Tan, Ruoxia Wu, Tianhao Deng, Huazhong Wang, Xiulin Jiang, Puhua Zeng, Junqi Tang
Publikováno v:
Aging. 15:3538-3548
Publikováno v:
GEOPHYSICS. :1-79
High-resolution and high-fidelity seismic inversion imaging are one of the core issues of lithologic reservoir exploration. As a linearization subproblem of full waveform inversion (FWI), least-squares migration (LSM) is the basic theoretical framewo
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-9
Publikováno v:
GEOPHYSICS. 87:V533-V544
High-dimensional seismic data are inevitably affected by missing traces and random noise, both of which negatively affect subsequent processing and interpretation. Methods based on the low-rank matrix or tensor decomposition are used to reconstruct s