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 …
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 …
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 …
structures and associated geophysical processes. However, due to the limitations of …
3D geological structure inversion from Noddy-generated magnetic data using deep learning methods
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 …
way to model underground geological structures. In this study, we propose and investigate a …
Facies identification based on multikernel relevance vector machine
Facies identification is a powerful means to predict reservoirs. We achieve facies
identification using a relevance vector machine (RVM) and develop a facies discriminant …
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 …
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
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 …
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 …
into voxel-based geophysical inversion. By developing the geophysical inverse problem …
Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model
In a previous paper, we introduced a framework for carrying out petrophysically and
geologically guided geophysical inversions. In that framework, petrophysical and geological …
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
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 …
3D quasi-geology model via a process called geology differentiation. Recent works indicate …