Uncertainty and resolution analysis of 2D and 3D inversion models computed from geophysical electromagnetic data

Z Ren, T Kalscheuer - Surveys in Geophysics, 2020 - Springer
A meaningful solution to an inversion problem should be composed of the preferred
inversion model and its uncertainty and resolution estimates. The model uncertainty …

3-D Structural geological models: Concepts, methods, and uncertainties

F Wellmann, G Caumon - Advances in geophysics, 2018 - Elsevier
The Earth below ground is the subject of interest for many geophysical as well as geological
investigations. Even though most practitioners would agree that all available information …

The future of Earth imaging

VC Tsai - Seismological Research Letters, 2023 - pubs.geoscienceworld.org
Imaging of Earth's interior has led to a large number of successful discoveries of plausible
structures and associated geophysical processes. However, due to the limitations of …

3D geological structure inversion from Noddy-generated magnetic data using deep learning methods

J Guo, Y Li, MW Jessell, J Giraud, C Li, L Wu, F Li… - Computers & …, 2021 - Elsevier
Using geophysical inversion for three-dimensional (3D) geological modeling is an effective
way to model underground geological structures. In this study, we propose and investigate a …

Facies identification based on multikernel relevance vector machine

X Liu, X Chen, J Li, X Zhou… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Facies identification is a powerful means to predict reservoirs. We achieve facies
identification using a relevance vector machine (RVM) and develop a facies discriminant …

Petrophysical joint inversion applied to alpine permafrost field sites to image subsurface ice, water, air, and rock contents

C Mollaret, FM Wagner, C Hilbich… - Frontiers in Earth …, 2020 - frontiersin.org
Quantification of ground ice is crucial for understanding permafrost systems and modeling
their ongoing degradation. The volumetric ice content is however rarely estimated in …

[HTML][HTML] Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models

HKH Olierook, R Scalzo, D Kohn, R Chandra… - Geoscience …, 2021 - Elsevier
Traditional approaches to develop 3D geological models employ a mix of quantitative and
qualitative scientific techniques, which do not fully provide quantification of uncertainty in the …

A framework for petrophysically and geologically guided geophysical inversion using a dynamic Gaussian mixture model prior

T Astic, DW Oldenburg - Geophysical Journal International, 2019 - academic.oup.com
We propose a new framework for incorporating petrophysical and geological information
into voxel-based geophysical inversion. By developing the geophysical inverse problem …

Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model

T Astic, LJ Heagy, DW Oldenburg - Geophysical Journal …, 2021 - academic.oup.com
In a previous paper, we introduced a framework for carrying out petrophysically and
geologically guided geophysical inversions. In that framework, petrophysical and geological …

3D probabilistic geology differentiation based on airborne geophysics, mixed norm joint inversion, and physical property measurements

X Wei, J Sun - Geophysics, 2022 - library.seg.org
The physical property models obtained from geophysical inversions can be converted to a
3D quasi-geology model via a process called geology differentiation. Recent works indicate …