Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Diego Rovetta"'
Publikováno v:
GEOPHYSICS. 88:K51-K68
We develop a novel physics-adaptive machine-learning (ML) inversion scheme showing optimal generalization capabilities for field data applications. We apply the physics-driven deep-learning inversion to a massive helicopter-borne transient electromag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c22cafe166d6279a679944b2fd3c8b51
https://doi.org/10.1190/geo2022-0407.1
https://doi.org/10.1190/geo2022-0407.1
Autor:
Marcin Dukalski, Diego Rovetta, Stan van der Linde, Matthias Möller, Niels Neumann, Frank Phillipson
Publikováno v:
GEOPHYSICS. 88:V75-V91
Much of recent progress in geophysics can be attributed to the adaptation of heterogeneous high-performance computing architectures. It is projected that the next major leap in many areas of science, and hence hopefully in geophysics too, will be due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76cb228f7277c96cb41d0294cd402c68
https://doi.org/10.1190/geo2022-0253.1
https://doi.org/10.1190/geo2022-0253.1
Publikováno v:
Inverse Problems.
Accurate near-surface characterization and velocity model building are important for a number of geotechnical and geophysical applications. 3D full waveform inversion can be used to generate a detailed velocity model, but must be provided with a good
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82c5ebfbde2580029684f511bd483f7a
https://doi.org/10.1088/1361-6420/acda59
https://doi.org/10.1088/1361-6420/acda59
Publikováno v:
The Leading Edge. 40:678-685
Surface waves can be used to enhance the characterization of the shallow subsurface in desert environments. A high-resolution shear-wave velocity model is typically obtained by inverting dispersion curves, which correspond to different propagation mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56b5da44feada623a0b930bb01b926ad
https://doi.org/10.1190/tle40090678.1
https://doi.org/10.1190/tle40090678.1
Publikováno v:
GEOPHYSICS. 86:E209-E224
Machine learning, and specifically deep-learning (DL) techniques applied to geophysical inverse problems, is an attractive subject, which has promising potential and, at the same time, presents some challenges in practical implementation. Some obstac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fbcdb3f7e5c757393237264d08f5a69
https://doi.org/10.1190/geo2020-0760.1
https://doi.org/10.1190/geo2020-0760.1
Publikováno v:
GEOPHYSICS. 86:U15-U29
Land seismic velocity modeling is a difficult task largely related to the description of the near-surface complexities. Full-waveform inversion (FWI) is the method of choice for achieving high-resolution velocity mapping, but its application to land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1392be75ea17e52a31d18f134478759
https://doi.org/10.1190/geo2020-0474.1
https://doi.org/10.1190/geo2020-0474.1
Publikováno v:
The Leading Edge. 39:382-390
We developed a novel surface-consistent processing framework that applies to transmitted wavefields (e.g., diving waves/refracted waves). Automatic velocity estimation from traveltime and full-waveform inversion, residual time shift corrections, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5a6685b841ca5bb870cd0819ed7018b
https://doi.org/10.1190/tle39060382.1
https://doi.org/10.1190/tle39060382.1
Autor:
Diego Rovetta, Daniele Colombo, Taqi Alyousuf, Ersan Turkoglu, Ernesto Sandoval, Gary McNeice
Publikováno v:
The Leading Edge. 39:411-421
Accurate velocity models for the near surface and overburden are needed for seismic processing and reliable depth imaging. Seismic with multiphysics data, well logs, and geology information need to be quantitatively integrated to obtain high-resoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68022f6f35bdcae4649d8fa874944dfd
https://doi.org/10.1190/tle39060411.1
https://doi.org/10.1190/tle39060411.1
Publikováno v:
GEOPHYSICS. 85:V169-V181
We have developed a new framework for performing surface-consistent amplitude balancing and deconvolution of the near-surface attenuation response. Both approaches rely on the early arrival waveform of a seismic recording, which corresponds to the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::459e346f0c7104619f52e6a5dfc4f538
https://doi.org/10.1190/geo2019-0443.1
https://doi.org/10.1190/geo2019-0443.1
Publikováno v:
Sixth International Conference on Engineering Geophysics, Virtual, 25–28 October 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::951f4b55fb0ae518055ecd58779cea62
https://doi.org/10.1190/iceg2021-022.1
https://doi.org/10.1190/iceg2021-022.1