Bayesian evidential learning of soil-rock interface identification using boreholes
Identification of the soil-rock interface of geological profiles has been a challenging task for
underground construction because of lack of sufficient borehole data. Traditional spatial …
underground construction because of lack of sufficient borehole data. Traditional spatial …
[HTML][HTML] 3D modeling of detachment faults in the Jiaodong gold province, eastern China: A Bayesian inference perspective and its exploration implications
The world-class Jiaodong gold province, which is located in the Jiaodong Peninsula,
eastern North China Craton, hosts> 5,000 t of gold resources. The major gold mineralization …
eastern North China Craton, hosts> 5,000 t of gold resources. The major gold mineralization …
Multiple-point geostatistics-based three-dimensional automatic geological modeling and uncertainty analysis for borehole data
J Guo, Z Wang, C Li, F Li, MW Jessell, L Wu… - Natural Resources …, 2022 - Springer
The three-dimensional characterization of geological structures is important for determining
the distribution of subsurface mineral resources. However, geological structures and …
the distribution of subsurface mineral resources. However, geological structures and …
[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 …
Modeling uncertain data using Monte Carlo integration method for clustering
Nowadays, data clustering is an important task to the mining research community since the
availability of uncertain data is increasing rapidly in many applications such as weather …
availability of uncertain data is increasing rapidly in many applications such as weather …
[HTML][HTML] Automated geological map deconstruction for 3D model construction using map2loop 1.0 and map2model 1.0
At a regional scale, the best predictor for the 3D geology of the near-subsurface is often the
information contained in a geological map. One challenge we face is the difficulty in …
information contained in a geological map. One challenge we face is the difficulty in …
Into the Noddyverse: A massive data store of 3D geological models for Machine Learning & inversion applications
Unlike some other well-known challenges such as facial recognition, where Machine
Learning and Inversion algorithms are widely developed, the geosciences suffer from a lack …
Learning and Inversion algorithms are widely developed, the geosciences suffer from a lack …
[HTML][HTML] Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data
To reduce uncertainties in reconstructed images, geologic information must be introduced in
a numerically robust and stable way during the geophysical data inversion procedure. In the …
a numerically robust and stable way during the geophysical data inversion procedure. In the …
[HTML][HTML] Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization
We introduce a workflow integrating geological modelling uncertainty information to
constrain gravity inversions. We test and apply this approach to the Yerrida Basin (Western …
constrain gravity inversions. We test and apply this approach to the Yerrida Basin (Western …
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 …