Seismic tomography and the assessment of uncertainty
Seismic tomography is a powerful tool for illuminating Earth structure across a range of
scales, but the usefulness of any image that is generated by this method is dependent on …
scales, but the usefulness of any image that is generated by this method is dependent on …
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 …
On the use of sensitivity tests in seismic tomography
N Rawlinson, W Spakman - Geophysical Journal International, 2016 - academic.oup.com
Sensitivity analysis with synthetic models is widely used in seismic tomography as a means
for assessing the spatial resolution of solutions produced by, in most cases, linear or …
for assessing the spatial resolution of solutions produced by, in most cases, linear or …
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 …
3-D Monte Carlo surface wave tomography
Seismic surface wave tomography is a tried and tested method to reveal the subsurface
structure of the Earth. However, the conventional 2-step scheme of inverting first for 2-D …
structure of the Earth. However, the conventional 2-step scheme of inverting first for 2-D …
Bayesian joint inversion of controlled source electromagnetic and magnetotelluric data to image freshwater aquifer offshore New Jersey
Joint inversion of multiple electromagnetic data sets, such as controlled source
electromagnetic and magnetotelluric data, has the potential to significantly reduce …
electromagnetic and magnetotelluric data, has the potential to significantly reduce …
Geophysical imaging using trans-dimensional trees
R Hawkins, M Sambridge - Geophysical Journal International, 2015 - academic.oup.com
In geophysical inversion, inferences of Earth's properties from sparse data involve a trade-off
between model complexity and the spatial resolving power. A recent Markov chain Monte …
between model complexity and the spatial resolving power. A recent Markov chain Monte …
Bayesian geophysical inversion with trans-dimensional Gaussian process machine learning
SUMMARY A key aspect of geophysical inversion is the ability to model the earth with a low
dimensional representation. There exist various approaches to solve the inverse problem …
dimensional representation. There exist various approaches to solve the inverse problem …
Low frequency full waveform seismic inversion within a tree based Bayesian framework
A Ray, S Kaplan, J Washbourne… - Geophysical Journal …, 2018 - academic.oup.com
Limited illumination, insufficient offset, noisy data and poor starting models can pose
challenges for seismic full waveform inversion. We present an application of a tree based …
challenges for seismic full waveform inversion. We present an application of a tree based …