Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Henry Menkiti"'
Autor:
Shujaat Ali, Henry Menkiti, Olga Podgornova, Marwan Charara, Allan Campbell, Scott Leaney, Les Nutt, I. Borodin, John C. Owusu
Publikováno v:
Geophysical Prospecting. 64:38-53
Borehole seismic addresses the need for high‐resolution images and elastic parameters of the subsurface. Full‐waveform inversion of vertical seismic profile data is a promising technology with the potential to recover quantitative information abo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1c619451db723e0923bd3565dede1c1
https://doi.org/10.1111/1365-2478.12227
https://doi.org/10.1111/1365-2478.12227
Publikováno v:
GEOPHYSICS. 77:R81-R93
We describe a Bayesian methodology for designing seismic experiments that optimally maximize model-parameter resolution for imaging purposes. The proposed optimal experiment design algorithm finds the measurements that are likely to optimally reduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bab6192c11674ef9790ab62ea1ba49a
https://doi.org/10.1190/geo2011-0143.1
https://doi.org/10.1190/geo2011-0143.1
Autor:
I. Borodin, Ranajit Ghose, Cai Jun, Michael E. Sanders, Alimzhan Zhubayev, Yang Jihai, Henry Menkiti, Teck Kean Lim
Publikováno v:
SEG Technical Program Expanded Abstracts 2013
In this study, we first estimate seismic velocity and attenuation dispersion from a comprehensive zero-offset vertical seismic profile (VSP) data acquired in China. These results, combined with openhole data acquired at the same location, provide exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dadd7f1365af12c29a5a1108471e1be9
https://doi.org/10.1190/segam2013-0213.1
https://doi.org/10.1190/segam2013-0213.1
Autor:
I. Borodin, Allan Campbell, Scott Leaney, John C. Owusu, Henry Menkiti, Shujaat Ali, Olga Podgornova, Marwan Charara, Les Nutt
Publikováno v:
Scopus-Elsevier
Borehole vertical seismic profiling (VSP) data address the need for higher resolution images and information about shear wave velocities. Elastic full-waveform inversion (FWI) of VSP data provides promising capabilities to recover quantitative inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e7c55c16ae4e0037ba3eecc6485f91f
https://doi.org/10.3997/2214-4609.20130119
https://doi.org/10.3997/2214-4609.20130119
Autor:
Hari Kurniawan, Les Nutt, Vijaya Kumar Kidambi, Narhari Srinivasa Rao, Samar Al-Ashwak, Henry Menkiti, Allan Campbell, Kamran Laiq, Shujaat Ali
Publikováno v:
SEG Technical Program Expanded Abstracts 2012.
An extensive 3D VSP campaign was undertaken in one of the deep wells of the Sabriyah field in Kuwait. The objectives of the VSP were high-resolution imaging of a deep carbonate formation (over 15000ft deep) and to further analyze the VSP data to dedu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef9a6ba917fd11f6bd91c6c2c1a96b25
https://doi.org/10.1190/segam2012-1102.1
https://doi.org/10.1190/segam2012-1102.1
Autor:
Emmanuel Coste, John Richard Tulett, Craig J. Beasley, Scott Leaney, Jitendra S. Gulati, Antoun Salama, Henry Menkiti
Publikováno v:
SEG Technical Program Expanded Abstracts 2011.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6736ccc7ecb3bb80922c617f8386cc73
https://doi.org/10.1190/1.3628094
https://doi.org/10.1190/1.3628094
Publikováno v:
Scopus-Elsevier
SUMMARY We describe a Bayesian methodology for designing seismic experiments that optimally maximize model parameter resolution for waveform imaging purposes. The proposed optimal experiment design (OED) algorithm finds the measurements which are lik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1acb66c31d890c2bfbc616cef3c21e08
https://doi.org/10.1190/1.3628127
https://doi.org/10.1190/1.3628127
Autor:
Allan Campbell, S. Ali, Les Nutt, Henry Menkiti, I. Borodin, John C. Owusu, Marwan Charara, Scott Leaney, Olga Podgornova
Publikováno v:
Scopus-Elsevier
Full waveform inversion (FWI) is a powerful technology for the estimation of subsurface elastic parameters. Recently, an elastic FWI method was applied to a Walkaway VSP dataset that was extracted from a larger 3D VSP survey located in the Arabia Gul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71ac8c6357b944e1019154c55c5841e2
http://www.scopus.com/inward/record.url?eid=2-s2.0-84897002170&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84897002170&partnerID=MN8TOARS
