Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Gulan Zhang"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9831-9842 (2023)
Seismic facies analysis (SFA) is a crucial step in the interpretation of subsurface structures, with the core challenge being the development of automatic approaches for the analysis of 4D prestack seismic data. The dominant isolated learning-based S
Externí odkaz:
https://doaj.org/article/91c26910b6fd46c2984d9612eab85f04
Publikováno v:
Earth and Space Science, Vol 6, Iss 5, Pp 873-886 (2019)
Abstract The Hilbert transform (HT) has been widely used in seismic data processing and interpretation. However, HT results exhibit lower noise robustness and resolution. This paper extends HT by introducing three orders greater than or equal to 0 an
Externí odkaz:
https://doaj.org/article/af6682fbe07544e8bbdcd4cbbbaacd3a
Publikováno v:
Applied Sciences, Vol 12, Iss 6, p 2836 (2022)
Generalized Hilbert transform (GHT) has been widely and successfully used in signal processing and interpretation for many years. However, the order parameter in GHT can only be chosen in a certain range, and the GHT result is not stable with respect
Externí odkaz:
https://doaj.org/article/67c914644399441a82685c921d24acd2
Autor:
Yong Li, Gulan Zhang
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11760 (2021)
Synchrosqueezing transform (SST) can effectively improve time-frequency precision and resolution by squeezing time-frequency spectra via instantaneous frequencies, and it has been applied in many diverse disciplines; however, the precision of estimat
Externí odkaz:
https://doaj.org/article/028f91e8f43d487caa45cd8f9ea1cd28
Autor:
Xiangwen Li, Jingye Li, Lei Li, Gulan Zhang, Chen Xu, Shifan Zhan, Guangjian Dan, Yonglei Liu, Yintao Zhang
Publikováno v:
GEOPHYSICS. 88:M119-M130
A great number of high-quality fractured-vuggy reservoirs (FVRs) are buried in the ultradeep carbonate strata in the Tarim Basin, Western China. Drilling confirms that some FVRs with strong beaded reflections are partially or completely filled with s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7da348497615892ca4d3fafd068608b
https://doi.org/10.1190/geo2022-0280.1
https://doi.org/10.1190/geo2022-0280.1
Publikováno v:
GEOPHYSICS. 88:IM15-IM27
Deep learning-based automatic horizon tracking has achieved promising results but still faces serious cross-horizon phenomena. Therefore, based on multitask learning, seismic data characteristics, and the seismic horizon sequence (or position) relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60e0ea8f704ee8aca814d81e0505e4e8
https://doi.org/10.1190/geo2022-0398.1
https://doi.org/10.1190/geo2022-0398.1
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 20:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bdb7633968c583e96dc83916507e6eb
https://doi.org/10.1109/lgrs.2022.3233850
https://doi.org/10.1109/lgrs.2022.3233850
Publikováno v:
Journal of Geophysics and Engineering. 19:863-875
To improve the generalization ability of the single pooling (average or maximum pooling) skip connection residual network (SSN) for seismic random noise attenuation, we present a hybrid-pooling skip connection residual network (HSN). In HSN, the hybr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7071f98720457f63c444d896be2ca06a
https://doi.org/10.1093/jge/gxac055
https://doi.org/10.1093/jge/gxac055
Publikováno v:
Journal of Geophysics and Engineering. 19:192-210
The processing efficiency of the widely used time-space (t-x) domain vertical seismic profiling (VSP) wavefield separation methods (such as median and singular value decomposition filtering) via one-dimensional discrete Fourier transform (DFT) depend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::195e2b5d00d72b9ec88db29237e5e682
https://doi.org/10.1093/jge/gxac010
https://doi.org/10.1093/jge/gxac010
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3fa7100f0eac5db47a4d6cebbcca86e
https://doi.org/10.1109/lgrs.2022.3217376
https://doi.org/10.1109/lgrs.2022.3217376