Antarctic geothermal heat flow and its implications for tectonics and ice sheets
Geothermal heat flow (GHF) is an elusive physical property, yet it can reveal past and
present plate tectonic processes. In Antarctica, GHF has further consequences in predicting …
present plate tectonic processes. In Antarctica, GHF has further consequences in predicting …
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 …
[图书][B] Random fields for spatial data modeling
DT Hristopulos - 2020 - Springer
The series aims to: present current and emerging innovations in GIScience; describe new
and robust GIScience methods for use in transdisciplinary problem solving and decision …
and robust GIScience methods for use in transdisciplinary problem solving and decision …
A segmentation approach for stochastic geological modeling using hidden Markov random fields
Stochastic modeling methods and uncertainty quantification are important tools for gaining
insight into the geological variability of subsurface structures. Previous attempts at geologic …
insight into the geological variability of subsurface structures. Previous attempts at geologic …
Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and …
Three-dimensional (3-D) geological structural modeling aims to determine geological
information in a 3-D space using structural data (foliations and interfaces) and topological …
information in a 3-D space using structural data (foliations and interfaces) and topological …
Uncertainty estimation for a geological model of the Sandstone greenstone belt, Western Australia–insights from integrated geological and geophysical inversion in a …
JF Wellmann, M De La Varga, RE Murdie… - Geological Society …, 2018 - lyellcollection.org
The spatial relationship between different rock types and relevant structural features is an
important aspect in the characterization of ore-forming systems. Our knowledge about this …
important aspect in the characterization of ore-forming systems. Our knowledge about this …
Smart determination of borehole number and locations for stability analysis of multi-layered slopes using multiple point statistics and information entropy
Subsurface stratigraphy of multi-layered slopes is essential and crucial for slope stability
analysis. It is usual practice for engineers to interpret stratigraphic boundaries separating …
analysis. It is usual practice for engineers to interpret stratigraphic boundaries separating …
A Bayesian unsupervised learning approach for identifying soil stratification using cone penetration data
This paper presents a novel perspective to understanding the spatial and statistical patterns
of a cone penetration dataset and identifying soil stratification using these patterns. Both …
of a cone penetration dataset and identifying soil stratification using these patterns. Both …
Structural geologic modeling as an inference problem: A Bayesian perspective
M de la Varga, JF Wellmann - Interpretation, 2016 - library.seg.org
Structural geologic models are widely used to represent the spatial distribution of relevant
geologic features. Several techniques exist to construct these models on the basis of …
geologic features. Several techniques exist to construct these models on the basis of …
Uncertainty assessment in 3-D geological models of increasing complexity
The quality of a 3-D geological model strongly depends on the type of integrated geological
data, their interpretation and associated uncertainties. In order to improve an existing …
data, their interpretation and associated uncertainties. In order to improve an existing …