Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Yaju Hao"'
Publikováno v:
IEEE Access, Vol 9, Pp 4923-4938 (2021)
Simultaneous source acquisition can enhance the seismic data quality or improve the field acquisition efficiency. However, one of the disadvantages is that the simultaneous source data are often obtained on a non-uniform sampled grid in realistic acq
Externí odkaz:
https://doaj.org/article/ae5d78bdc6fe48c28116d4edf510bc47
Publikováno v:
Energies, Vol 15, Iss 7, p 2506 (2022)
Deep-water carbonate reservoirs are currently the focus of global oil and gas production activities. The characterization of strongly heterogeneous carbonate reservoirs, especially the prediction of fluids in deep-water presalt carbonate reservoirs,
Externí odkaz:
https://doaj.org/article/d82f354c0a094ee0ac0fabb41dbfd4f3
Autor:
Xuepeng Cui, Handong Huang, Yaju Hao, Lei Li, Yaneng Luo, Jing Zeng, Zhongbin Tian, Youyi Shen, Yangming Hu
Publikováno v:
GEOPHYSICS. 88:N21-N37
Following the advancement of machine learning-based seismic feature classification techniques for complex reservoirs, the acquisition and analysis of reliable seismic samples involved in seismic facies analysis and network-based inversion have emerge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2163cced446faf88d8af672a81a2f4f2
https://doi.org/10.1190/geo2022-0517.1
https://doi.org/10.1190/geo2022-0517.1
Publikováno v:
Acta Geophysica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8d81d91791ee683272d1b1bab46a75c
https://doi.org/10.1007/s11600-023-01037-0
https://doi.org/10.1007/s11600-023-01037-0
Publikováno v:
Acta Geophysica. 69:459-481
Seismic signal can be expressed by nonstationary convolution model (NCM) which integrates acoustic impedance (AI), attenuation factor (AF) and source wavelet (SW) into a single formula. Although it provides attractive potential to invert AI, AF and S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7f5e1e5371b6bfdb6c7a160267dbbf5
https://doi.org/10.1007/s11600-021-00555-z
https://doi.org/10.1007/s11600-021-00555-z
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 16:1934-1938
Seismic wave will suffer from resolution loss during its propagation in subsurface media, which is caused by the earth filtering effect. Inverse Q-filtering (IQF) is an essential scheme for eliminating earth filtering effect and enhancing temporal re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aa81252676715bc9469b138469dbb00
https://doi.org/10.1109/lgrs.2019.2914092
https://doi.org/10.1109/lgrs.2019.2914092
Publikováno v:
Journal of Natural Gas Science and Engineering. 59:56-66
In recent years, many important discoveries have been made in the marine deepwater exploration in the South China Sea, which confirms the abundant natural gas resources in this area. However, the prediction of deepwater reservoirs is very challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1230855d7b0c587a4b3b70fdf8fd7d17
https://doi.org/10.1016/j.jngse.2018.08.019
https://doi.org/10.1016/j.jngse.2018.08.019
Publikováno v:
GEOPHYSICS. 83:R681-R698
Nonstationary seismograms can be mathematically expressed by the nonstationary convolution model (NSCM), which integrates the equivalent [Formula: see text]-value [Formula: see text], source wavelet, and acoustic impedance AI into a single formula. P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a2c2b61e78754917b771c5fb21dd436
https://doi.org/10.1190/geo2018-0111.1
https://doi.org/10.1190/geo2018-0111.1
Publikováno v:
Journal of Applied Geophysics. 135:122-134
Quality factor, Q, is a parameter that characterizes the energy dissipation during seismic wave propagation. The reservoir pore is one of the main factors that affect the value of Q. Especially, when pore space is filled with oil or gas, the rock usu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d6d4af50867cff94361bf0a8a5b189f
https://doi.org/10.1016/j.jappgeo.2016.10.004
https://doi.org/10.1016/j.jappgeo.2016.10.004
Publikováno v:
Journal of Applied Geophysics. 172:103894
Seismic data interpolation are considered the key step in data pre-processing. Most current interpolation methods are just suitable for random undersampled cases. To deal with regular undersampled issue, we propose a novel anti-aliasing Projection On
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c7379349515fd1bb2e3fede43d2acca
https://doi.org/10.1016/j.jappgeo.2019.103894
https://doi.org/10.1016/j.jappgeo.2019.103894