Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Shogo Masaya"'
Autor:
Shogo Masaya, Kenichi Fujii, Kazunori Watanabe, Chao Chen, Liang Hai, Jiawei Zhang, Tomoyuki Ohkubo, Hideki Murakoshi, Yuta Hirose
Publikováno v:
International Journal of Design Creativity and Innovation. 11:26-41
Autor:
Shogo Masaya, Shuichi Desaki
Publikováno v:
Journal of the Japanese Association for Petroleum Technology. 87:45-50
Publikováno v:
Journal of the Japanese Association for Petroleum Technology. 87:161-173
Autor:
Shogo Masaya, Yohei Nishitsuji
Publikováno v:
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021.
Publikováno v:
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021.
Autor:
Yohei Nishitsuji, Shogo Masaya
Oil and gas companies evaluate the possibility of finding oil and gas fields carefully more than ever because it has been difficult to find gigantic discoveries which directly leads to their capital. Since a conventional evaluation contains human int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3b750c0d8a865be1174b796819e4e64
https://doi.org/10.33774/coe-2020-03prm
https://doi.org/10.33774/coe-2020-03prm
Autor:
Shogo Masaya
Publikováno v:
Signal Processing. 142:137-148
I propose a complex-valued tensor factorization algorithm for audio-source separation to exploit not only amplitude but phase information of audio signals in the modulation frequency (MF) domain. The proposed algorithm is extended from complex non-ne
Autor:
Shogo Masaya
Publikováno v:
SEG Technical Program Expanded Abstracts 2019.
Autor:
Shogo Masaya, D.J. Verschuur
Publikováno v:
Proceedings.
Summary Nowadays waveform modeling-based seismic imaging schemes, such as RTM and FWI, are widely used for the subsurface imaging. The use of waveform modeling-based imaging schemes for land seismic data is not always a straightforward process, and t
Autor:
Shogo Masaya, D. J. Eric Verschuur
Publikováno v:
Geophysical Journal International, 214(1)
This paper proposes a reflectivity constraint for velocity estimation to optimally solve the inverse problem for active seismic imaging. This constraint is based on the velocity model derived from the definition of reflectivity and acoustic impedance