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 …
Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis
The integration of petrophysical data and probabilistic geological modelling in geophysical
joint inversion is a powerful tool to solve exploration challenges. Models obtained from …
joint inversion is a powerful tool to solve exploration challenges. Models obtained from …
[PDF][PDF] Uncertainty is an Asset: Monte Carlo simulation for uncertainty estimation in implicit 3D geological modelling
EJ Pakyuz-Charrier - 2018 - research-repository.uwa.edu.au
Uncertainty is an Asset Page 1 Uncertainty is an Asset Monte Carlo simulation for Uncertainty
Estimation in Implicit 3D Geological Modelling Evren Jérémie Pakyuz-Charrier MSc Mining and …
Estimation in Implicit 3D Geological Modelling Evren Jérémie Pakyuz-Charrier MSc Mining and …
Inversion of multiple geophysical data sets using petrophysical constraints
DT Kieu - 2018 - espace.curtin.edu.au
The inversion of multiple geophysical datasets co-operatively is a challenge that I address
with the fuzzy cluster method. Techniques to incorporate petrophysical constraints and other …
with the fuzzy cluster method. Techniques to incorporate petrophysical constraints and other …
Inverse Problem Resolution Using Geologically Conditioned Gradient-Based Regularization–Application to the Yerrida Bas
The qualitative integration of geological and geophysical data is a useful approach to
constrain inversion that aims to improve interpretation and to reduce the geophysical data …
constrain inversion that aims to improve interpretation and to reduce the geophysical data …