3-D Bayesian variational full waveform inversion
Seismic full-waveform inversion (FWI) provides high resolution images of the subsurface by
exploiting information in the recorded seismic waveforms. This is achieved by solving a …
exploiting information in the recorded seismic waveforms. This is achieved by solving a …
Bayesian geophysical inversion using invertible neural networks
Constraining geophysical models with observed data usually involves solving nonlinear and
nonunique inverse problems. Neural mixture density networks (MDNs) provide an efficient …
nonunique inverse problems. Neural mixture density networks (MDNs) provide an efficient …
Seismic tomography using variational inference methods
Seismic tomography is a methodology to image the interior of solid or fluid media and is
often used to map properties in the subsurface of the Earth. In order to better interpret the …
often used to map properties in the subsurface of the Earth. In order to better interpret the …
Variational full-waveform inversion
Seismic full-waveform inversion (FWI) can produce high-resolution images of the Earth's
subsurface. Since full-waveform modelling is significantly nonlinear with respect to …
subsurface. Since full-waveform modelling is significantly nonlinear with respect to …
An introduction to variational inference in geophysical inverse problems
In a variety of scientific applications, we wish to characterize a physical system using
measurements or observations. This often requires us to solve an inverse problem, which …
measurements or observations. This often requires us to solve an inverse problem, which …
Probabilistic neural network-based 2D travel-time tomography
Travel-time tomography for the velocity structure of a medium is a highly nonlinear and
nonunique inverse problem. Monte Carlo methods are becoming increasingly common …
nonunique inverse problem. Monte Carlo methods are becoming increasingly common …
Probabilistic neural network tomography across Grane field (North Sea) from surface wave dispersion data
Surface wave tomography uses measured dispersion properties of surface waves to infer
the spatial distribution of subsurface properties such as shear wave velocities. These …
the spatial distribution of subsurface properties such as shear wave velocities. These …
Shallow Low‐Velocity Layer in the Hyuga‐Nada Accretionary Prism and Its Hydrological Implications: Insights From a Passive Seismic Array
T Akuhara, Y Yamashita, S Ohyanagi… - Journal of …, 2023 - Wiley Online Library
Shear wave velocity (Vs) estimations of accretionary prisms can pose unique constraints to
the physical properties of rocks, which are hard to obtain from compressional velocities (Vp) …
the physical properties of rocks, which are hard to obtain from compressional velocities (Vp) …
Imaging the subsurface using induced seismicity and ambient noise: 3-D tomographic Monte Carlo joint inversion of earthquake body wave traveltimes and surface …
Seismic body wave traveltime tomography and surface wave dispersion tomography have
been used widely to characterize earthquakes and to study the subsurface structure of the …
been used widely to characterize earthquakes and to study the subsurface structure of the …
Imaging of a magma system beneath the Merapi Volcano complex, Indonesia, using ambient seismic noise tomography
Mt Merapi, which lies just north of the city of Yogyakarta in Java, Indonesia, is one of the
most active and dangerous volcanoes in the world. Thanks to its subduction zone setting, Mt …
most active and dangerous volcanoes in the world. Thanks to its subduction zone setting, Mt …