Structure‐coupled multiphysics imaging in geophysical sciences

LA Gallardo, MA Meju - Reviews of Geophysics, 2011 - Wiley Online Library
Multiphysics imaging or data inversion is of growing importance in many branches of
science and engineering. In geophysical sciences, there is a need for combining information …

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 …

Multidomain petrophysically constrained inversion and geology differentiation using guided fuzzy c-means clustering

J Sun, Y Li - Geophysics, 2015 - library.seg.org
Geophysical inversion methods are used as part of an interpretation process that seeks to
differentiate geologic units. To improve the reliability of geologic differentiation based on …

Three-dimensional parallel distributed inversion of CSEM data using a direct forward solver

AV Grayver, R Streich, O Ritter - Geophysical Journal …, 2013 - academic.oup.com
For 3-D inversion of controlled-source electromagnetic (CSEM) data, increasing availability
of high-performance computers enables us to apply inversion techniques that are …

Model fusion and joint inversion

E Haber, M Holtzman Gazit - Surveys in Geophysics, 2013 - Springer
Inverse problems are inherently non-unique, and regularization is needed to obtain stable
and reasonable solutions. The regularization adds information to the problem and …

Image-guided inversion of electrical resistivity data

J Zhou, A Revil, M Karaoulis, D Hale… - Geophysical Journal …, 2014 - academic.oup.com
Electrical resistivity tomography (ERT) is based on solving a Poisson equation for the
electrical potential and is characterized by a good sensitivity only in the vicinity of the …

Gradient and smoothness regularization operators for geophysical inversion on unstructured meshes

PG Lelievre, CG Farquharson - Geophysical Journal …, 2013 - academic.oup.com
The non-uniqueness of the underdetermined inverse problem requires that any available
geological information be incorporated to constrain the results. Such information commonly …

[HTML][HTML] Efficient assimilation of sparse data into RANS-based turbulent flow simulations using a discrete adjoint method

O Brenner, P Piroozmand, P Jenny - Journal of Computational Physics, 2022 - Elsevier
Turbulent flow simulations based on the Reynolds-averaged Navier–Stokes (RANS)
equations continue to be the workhorse approach for industrial flow problems. However, due …

Uncertainty reduction through geologically conditioned petrophysical constraints in joint inversion

J Giraud, E Pakyuz-Charrier, M Jessell, M Lindsay… - Geophysics, 2017 - library.seg.org
We have developed a joint geophysical inversion workflow that aims to improve subsurface
imaging and decrease uncertainty by integrating petrophysical constraints and geologic …

3-D gravity intelligent inversion by U-Net network with data augmentation

X Zhou, Z Chen, Y Lv, S Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Gravity inversion has become the main method to obtain the 3-D density distribution in the
exploration of petroleum and mineral resources as well as the study of geological structure …