Zobrazeno 1 - 10
of 2 984
pro vyhledávání: '"Ravasi, A A"'
Autor:
Corrales, Miguel, Berti, Sean, Denel, Bertrand, Williamson, Paul, Aleardi, Mattia, Ravasi, Matteo
In recent years, Full-Waveform Inversion (FWI) has been extensively used to derive high-resolution subsurface velocity models from seismic data. However, due to the nonlinearity and ill-posed nature of the problem, FWI requires a good starting model
Externí odkaz:
http://arxiv.org/abs/2410.13249
Publikováno v:
Geophysics 89 (2024) 1-62
Distributed Acoustic Sensing (DAS) is a promising technology introducing a new paradigm in the acquisition of high-resolution seismic data. However, DAS data often show weak signals compared to the background noise, especially in tough installation e
Externí odkaz:
http://arxiv.org/abs/2405.07660
We address the estimation of seismic wavefields by means of Multidimensional Deconvolution (MDD) for various redatuming applications. While offering more accuracy than conventional correlation-based redatuming methods, MDD faces challenges due to the
Externí odkaz:
http://arxiv.org/abs/2404.01870
Full Waveform Inversion (FWI) is a technique widely used in geophysics to obtain high-resolution subsurface velocity models from waveform seismic data. Due to its large computation cost, most flavors of FWI rely only on the computation of the gradien
Externí odkaz:
http://arxiv.org/abs/2403.17518
Autor:
Ravasi, Davide1 (AUTHOR), Zhu, Jing2 (AUTHOR), Wan, William3 (AUTHOR), Dorobantu, Sinziana4 (AUTHOR), Gruber, Marc5 (AUTHOR)
Publikováno v:
Academy of Management Journal. Jun2024, Vol. 67 Issue 3, p583-594. 12p.
Autor:
Wang, Ning, Ravasi, Matteo
Ocean-bottom seismic plays a crucial role in resource exploration and monitoring. However, despite its undoubted potential, the use of coarse receiver geometries poses challenges to accurate wavefield redatuming. This in turn, affects the quality of
Externí odkaz:
http://arxiv.org/abs/2401.05944
Post-stack seismic inversion is a widely used technique to retrieve high-resolution acoustic impedance models from migrated seismic data. Its modelling operator assumes that a migrated seismic data can be generated from the convolution of a source wa
Externí odkaz:
http://arxiv.org/abs/2401.00753
This paper presents a novel factorization-based, low-rank regularization method for solving multidimensional deconvolution problems in the frequency domain. In this approach, each frequency component of the unknown wavefield is represented as a compl
Externí odkaz:
http://arxiv.org/abs/2312.11004
Seismic imaging is the numerical process of creating a volumetric representation of the subsurface geological structures from elastic waves recorded at the surface of the Earth. As such, it is widely utilized in the energy and construction sectors fo
Externí odkaz:
http://arxiv.org/abs/2312.10568
A crucial step in seismic data processing consists in reconstructing the wavefields at spatial locations where faulty or absent sources and/or receivers result in missing data. Several developments in seismic acquisition and interpolation strive to r
Externí odkaz:
http://arxiv.org/abs/2311.08540