Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yueming Ye"'
Publikováno v:
ACS Omega, Vol 8, Iss 36, Pp 32615-32622 (2023)
Externí odkaz:
https://doaj.org/article/a2f6798ec49c49699f4ba9e885a411ed
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3555-3567 (2023)
Deep learning methods, especially convolutional neural networks, achieve state-of-the-art performance on seismic impedance inversion. Most of the methods are based on one-dimensional (1-D) convolution, tending to yield lateral discontinuities of impe
Externí odkaz:
https://doaj.org/article/0dec3e491b10422ca693c0d4a231a479
Publikováno v:
GEOPHYSICS. 88:WA81-WA89
Seismic facies characterization plays a key role in hydrocarbon exploration and development. The existing unsupervised methods are mostly waveform-based and involve multiple steps. We have developed a method to leverage unsupervised contrastive learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c23aa367de9e4d646462238129f386e
https://doi.org/10.1190/geo2022-0148.1
https://doi.org/10.1190/geo2022-0148.1
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3d66f5b3554ad855388cfd5c8930bad
https://doi.org/10.1109/lgrs.2022.3168143
https://doi.org/10.1109/lgrs.2022.3168143
Publikováno v:
Exploration Geophysics. 49:519-529
Multiples that are reflected more than once beneath the surface are also real reflections from subsurface interfaces. They are typically characterised by smaller reflection angles, longer travel paths and wider illumination ranges than primaries. Wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bd72bc2a3f060c053efaba85cb39174
https://doi.org/10.1071/eg16084
https://doi.org/10.1071/eg16084
Publikováno v:
Journal of Geophysics and Engineering. 15:2319-2329
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87a7e58f8b24255eecdc686ec65e3b92
https://doi.org/10.1088/1742-2140/aac997
https://doi.org/10.1088/1742-2140/aac997
Publikováno v:
Applied Geophysics. 6:50-58
Traditional pre-stack depth migration can only provide subsurface structural information. However, simple structure information is insufficient for petroleum exploration which also needs amplitude information proportional to reflection coefficients.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aac73e95cbbf6020cbf468a2e73e0d28
https://doi.org/10.1007/s11770-009-0004-3
https://doi.org/10.1007/s11770-009-0004-3
Publikováno v:
Applied Geophysics. 5:115-120
Compared with other migration methods, reverse-time migration is based on a precise wave equation, not an approximation, and performs extrapolation in the depth domain rather than the time domain. It is highly accurate and not affected by strong subs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a28288244ddc3f1b193bb80a54aaa70a
https://doi.org/10.1007/s11770-008-0001-y
https://doi.org/10.1007/s11770-008-0001-y
Publikováno v:
Applied Geophysics. 3:203-209
Beamlet sources have strong local and directional character and can easily accomplish local illumination and migration. Besides, they provide better migration results than conventional migration methods. We introduce the basic principles of beamlet p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59b16242facbe69b0e845c7815a30c66
https://doi.org/10.1007/s11770-006-4002-4
https://doi.org/10.1007/s11770-006-4002-4
Publikováno v:
SEG Technical Program Expanded Abstracts 2010.
Computation efficiency is one of the most important factors restricting application of prestack depth migration. Sparse depth-step size of wavefield-continuation is able to reduce computational cost. However imaging-result quality will be affected. G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4614adf8b0ee1c41e2399c16a1e762f4
https://doi.org/10.1190/1.3513553
https://doi.org/10.1190/1.3513553