Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples

D Grana, L Azevedo, L De Figueiredo, P Connolly… - Geophysics, 2022 - library.seg.org
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 …

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 …

3-D Bayesian variational full waveform inversion

X Zhang, A Lomas, M Zhou, Y Zheng… - Geophysical Journal …, 2023 - academic.oup.com
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 …

HypoSVI: Hypocentre inversion with Stein variational inference and physics informed neural networks

JD Smith, ZE Ross, K Azizzadenesheli… - Geophysical Journal …, 2022 - academic.oup.com
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 …

Bayesian seismic tomography using normalizing flows

X Zhao, A Curtis, X Zhang - Geophysical Journal International, 2022 - academic.oup.com
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 …

Bayesian elastic full‐waveform inversion using Hamiltonian Monte Carlo

L Gebraad, C Boehm, A Fichtner - Journal of Geophysical …, 2020 - Wiley Online Library
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 …

Bayesian geophysical inversion using invertible neural networks

X Zhang, A Curtis - Journal of Geophysical Research: Solid …, 2021 - Wiley Online Library
Constraining geophysical models with observed data usually involves solving nonlinear and
nonunique inverse problems. Neural mixture density networks (MDNs) provide an efficient …

Seismic tomography using variational inference methods

X Zhang, A Curtis - Journal of Geophysical Research: Solid …, 2020 - Wiley Online Library
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 …

Fine crust‐mantle structure of the major tectonic boundaries between the North China Craton and Central Asian Orogenic Belt revealed from Rayleigh wave phase …

T Yang, T Xu, Y Ai, J Yang… - Journal of Geophysical …, 2024 - Wiley Online Library
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 …

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 …