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Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples
The physics that describes the seismic response of an interval of saturated porous rocks with
known petrophysical properties is relatively well understood and includes rock physics …
known petrophysical properties is relatively well understood and includes rock physics …
Seismic wavefield imaging of Earth's interior across scales
J Tromp - Nature Reviews Earth & Environment, 2020 - nature.com
Seismic full-waveform inversion (FWI) for imaging Earth's interior was introduced in the late
1970s. Its ultimate goal is to use all of the information in a seismogram to understand the …
1970s. Its ultimate goal is to use all of the information in a seismogram to understand the …
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 …
HypoSVI: Hypocentre inversion with Stein variational inference and physics informed neural networks
We introduce a scheme for probabilistic hypocentre inversion with Stein variational
inference. Our approach uses a differentiable forward model in the form of a physics …
inference. Our approach uses a differentiable forward model in the form of a physics …
Bayesian seismic tomography using normalizing flows
We test a fully non-linear method to solve Bayesian seismic tomographic problems using
data consisting of observed traveltimes of first-arriving waves. Rather than using Monte …
data consisting of observed traveltimes of first-arriving waves. Rather than using Monte …
Bayesian elastic full‐waveform inversion using Hamiltonian Monte Carlo
We present a proof of concept for Bayesian elastic full‐waveform inversion in 2‐D. This is
based on (1) Hamiltonian Monte Carlo sampling of the posterior distribution,(2) the …
based on (1) Hamiltonian Monte Carlo sampling of the posterior distribution,(2) the …
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 …
Fine crust‐mantle structure of the major tectonic boundaries between the North China Craton and Central Asian Orogenic Belt revealed from Rayleigh wave phase …
Abstract The Tanlu Fault Zone (TLFZ) and Chifeng‐Kaiyuan Fault (CKF) serve as tectonic
boundaries between the North China Craton (NCC) and the Central Asian Orogenic Belt …
boundaries between the North China Craton (NCC) and the Central Asian Orogenic Belt …
Acoustic emission source location from P-wave arrival time corrected data and virtual field optimization method
X Shang, Y Wang, R Miao - Mechanical Systems and Signal Processing, 2022 - Elsevier
Acoustic emission (AE) event location plays an important role in structural safety
assessments. However, accurately locating an AE event is usually difficult, especially for a …
assessments. However, accurately locating an AE event is usually difficult, especially for a …