Klaus Mosegaard
YOU?
Author Swipe
View article: Optimal Photometric geometries for a space mission
Optimal Photometric geometries for a space mission Open
- IntroductionUnderstanding the geological processes is a key objective for future lunar exploration. The ESA Màni mission aims to advance this understanding by characterizing the lunar regolith with high resolution imagery, Digital Elevat…
View article: Máni an exploration mission for the Moon
Máni an exploration mission for the Moon Open
IntroductionEfforts to quantify lunar surface properties, rover traversability, potential for in-situ resource utilization, or geological processes, all benefit from better optical resolution. The obvious preference for higher resolution i…
View article: A Spectral Directors Method for Modeling the Coupled Evolution of Flow and CPO in Polycrystalline Olivine
A Spectral Directors Method for Modeling the Coupled Evolution of Flow and CPO in Polycrystalline Olivine Open
The crystallographic preferred orientation (CPO) of polycrystalline olivine affects both the viscous and seismic anisotropy of Earth's upper mantle with wide geodynamical implications. In this methods contribution, we present a continuous …
View article: Inferring the Crystal Orientation Fabrics of Olivine from Oblique Seismic Data using a Spectral Fabric Representation
Inferring the Crystal Orientation Fabrics of Olivine from Oblique Seismic Data using a Spectral Fabric Representation Open
Olivine, the most abundant mineral in the Earth's upper mantle, affects seismic wave propagation through its crystallographic preferred orientation (CPO) developed during deformation. As a result, the seismic anisotropy of the crystals ser…
View article: A Spectral Directors Method for Modeling the Coupled Evolution of Flow and CPO in Polycrystalline Olivine
A Spectral Directors Method for Modeling the Coupled Evolution of Flow and CPO in Polycrystalline Olivine Open
The crystallographic preferred orientation (CPO) of polycrystalline olivine affects both the viscous and seismic anisotropy of Earth's upper mantle with wide geodynamical implications. In this methods paper, we present a continuous field f…
View article: Inconsistency and Acausality in Bayesian Inference for Physical Problems
Inconsistency and Acausality in Bayesian Inference for Physical Problems Open
Bayesian inference is used to estimate continuous parameter values given measured data in many fields of science. The method relies on conditional probability densities to describe information about both data and parameters, yet the notion…
View article: Modeling ice and olivine CPO evolution and its affect on large-scale flow in two-way coupled simulations
Modeling ice and olivine CPO evolution and its affect on large-scale flow in two-way coupled simulations Open
We present a spectral-space CPO model that allows for efficient and seamless simulation of anisotropic polycrystalline flows at large scale, relevant for ice sheets and Earth’s upper mantle. The CPO model is two-way coupled with a bu…
View article: Inconsistency and Acausality of Model Selection in Bayesian Inverse Problems
Inconsistency and Acausality of Model Selection in Bayesian Inverse Problems Open
Bayesian inference paradigms are regarded as powerful tools for solution of inverse problems. However, when applied to inverse problems in physical sciences, Bayesian formulations suffer from a number of inconsistencies that are often over…
View article: Inconsistency and violation of causality in Bayesian inversion paradigms
Inconsistency and violation of causality in Bayesian inversion paradigms Open
Probabilistic formulations of inverse problems are most often based on Bayes Rule, which is considered a powerful tool for integration of data information and prior information about potential solutions. However, since its introduction it …
View article: Joint Inversion of Receiver Functions and Apparent Incidence Angles to Determine the Crustal Structure of Mars
Joint Inversion of Receiver Functions and Apparent Incidence Angles to Determine the Crustal Structure of Mars Open
Recent estimates of the crustal thickness of Mars show a bimodal result of either ∼20 or ∼40 km beneath the InSight lander. We propose an approach based on random matrix theory applied to receiver functions (RFs) to further constrain the s…
View article: Probabilistic deconvolution of PET images using informed priors
Probabilistic deconvolution of PET images using informed priors Open
Purpose We present a probabilistic approach to medical image analysis that requires, and makes use of, explicit prior information provided by a medical expert. Depending on the choice of prior model the method can be used for image enhance…
View article: Mapping Cretaceous faults using a convolutional neural network – A field example from the Danish North Sea
Mapping Cretaceous faults using a convolutional neural network – A field example from the Danish North Sea Open
The mapping of faults provides essential information on many aspects of seismic exploration, characterisation of reservoirs for compartmentalisation and cap-rock integrity. However, manual interpretation of faults from seismic data is time…
View article: Joint Inversion of receiver functions and apparent incidence angles to determine the crustal structure of Mars
Joint Inversion of receiver functions and apparent incidence angles to determine the crustal structure of Mars Open
Recent estimates of the crustal thickness of Mars show a bimodal result of either ∼20 km or ∼40 km beneath the InSight lander. We propose an approach based on random matrix theory applied to receiver functions to further constrain the subs…
View article: Estimation of shear sonic logs in the heterogeneous and fractured Lower Cretaceous of the Danish North Sea using supervised learning
Estimation of shear sonic logs in the heterogeneous and fractured Lower Cretaceous of the Danish North Sea using supervised learning Open
Shear wave velocity information is valuable in many aspects of seismic exploration and characterization of reservoirs. However, shear wave logs are not always available in the interval of interest due to cost and time‐saving purposes. In t…
View article: Errors in positioning of borehole measurements and how they influence seismic inversion
Errors in positioning of borehole measurements and how they influence seismic inversion Open
Inversion of seismic data using information from horizontal wells is often hampered by cumulative well‐location errors. These errors can have a significant influence on the final subsurface model derived from the data. To achieve a proper …
View article: High-resolution topography from planetary images and laser altimetry
High-resolution topography from planetary images and laser altimetry Open
Mapping landforms on the Moon is of great interest and importance for future human settlements and resources exploration. One of the first steps is to map the topography in great detail and resolution. However, data from the Lunar Orbiter …
View article: WITHDRAWN: Using Synthetic Data Trained Convolutional Neural Network For Predicting Sub-Resolution Thin Layers From Seismic Data
WITHDRAWN: Using Synthetic Data Trained Convolutional Neural Network For Predicting Sub-Resolution Thin Layers From Seismic Data Open
The early Eocene hothouse experienced the occurrence of transient global warming events, so-called hyperthermals. The deep ocean constitutes a stable and vast heat reservoir, and hence arguably provides a good estimate of the global mean c…
View article: WITHDRAWN: Using Synthetic Data Trained Convolutional Neural Network For Predicting Sub-Resolution Thin Layers From Seismic Data
WITHDRAWN: Using Synthetic Data Trained Convolutional Neural Network For Predicting Sub-Resolution Thin Layers From Seismic Data Open
The early Eocene hothouse experienced the occurrence of transient global warming events, so-called hyperthermals. The deep ocean constitutes a stable and vast heat reservoir, and hence arguably provides a good estimate of the global mean c…
View article: Using Synthetic Data Trained Convolutional Neural Network For Predicting Sub-Resolution Thin Layers From Seismic Data
Using Synthetic Data Trained Convolutional Neural Network For Predicting Sub-Resolution Thin Layers From Seismic Data Open
Numerous studies have demonstrated the capability of supervised deep learning techniques for predicting geological features of interest from seismic sections, including features that are difficult to identify using traditional interpretati…
View article: Joint Inversion of Receiver Functions and Apparent Incidence Angles for Sparse Seismic Data
Joint Inversion of Receiver Functions and Apparent Incidence Angles for Sparse Seismic Data Open
The estimation of crustal structure and thickness is essential in understanding the formation and evolution of terrestrial planets. Initial planetary missions with seismic instrumentation on board face the additional challenge of dealing w…
View article: Evolution of the Stress and Strain field in the Tyra field during the Post-Chalk Deposition and Seismic Inversion of fault zone using Informed-Proposal Monte Carlo
Evolution of the Stress and Strain field in the Tyra field during the Post-Chalk Deposition and Seismic Inversion of fault zone using Informed-Proposal Monte Carlo Open
When hydrocarbon reservoirs are used as a CO2 storage facility, an accurate uncertainty analysis and risk assessment is essential. An integration of information from geological knowledge, geological modelling, well log data, and geophysica…
View article: HIGH-RESOLUTION LUNAR TOPOGRAPHY FROM LASER RANGING AND PHOTOGRAPHIC DATA
HIGH-RESOLUTION LUNAR TOPOGRAPHY FROM LASER RANGING AND PHOTOGRAPHIC DATA Open
Mapping landforms on the Moon is of great interest and importance for future human settlements and resources exploration. One of the first steps is to map the topography and investigate their shape and geometry in great detail and resoluti…
View article: Quantitative seismic interpretation of the Lower Cretaceous reservoirs in the Valdemar Field, Danish North Sea
Quantitative seismic interpretation of the Lower Cretaceous reservoirs in the Valdemar Field, Danish North Sea Open
A quantitative seismic interpretation study is presented for the Lower Cretaceous Tuxen reservoir in the Valdemar Field, which is associated with heterogeneous and complex geology. Our objective is to better outline the reservoir quality v…
View article: Informed proposal Monte Carlo
Informed proposal Monte Carlo Open
SUMMARY Any search or sampling algorithm for solution of inverse problems needs guidance to be efficient. Many algorithms collect and apply information about the problem on the fly, and much improvement has been made in this way. However, …
View article: Joint inversion of receiver functions and apparent incidence angles for sparse seismic data
Joint inversion of receiver functions and apparent incidence angles for sparse seismic data Open
The estimation of crustal structure and thickness is instrumental in understanding the formation and evolution of terrestrial planets. Initial planetary missions with seismic instrumentation on board face the additional challenge of dealin…
View article: Hamiltonian Monte Carlo inversion of seismic reflection data in the acoustic approximation
Hamiltonian Monte Carlo inversion of seismic reflection data in the acoustic approximation Open
<p>The Hamiltonian Monte Carlo method (HMC) is gaining popularity in the geophysical community to fully address nonlinear inverse problems and related uncertainty quantification. We present here an application of HMC to invert seismi…
View article: Joint inversion of receiver functions and apparent incidence angles to investigate the crustal structure of Mars
Joint inversion of receiver functions and apparent incidence angles to investigate the crustal structure of Mars Open
<p>Since InSight (the Interior Exploration using Geodesy and Heat Transport) landed 26 months ago and deployed an ultra sensitive broadband seismometer(SEIS) on the surface of Mars, around 500 seismic events of diverse variety have b…
View article: Magnetic Anomalies Caused by 2D Polygonal Structures With Uniform Arbitrary Polarization: New Insights From Analytical/Numerical Comparison Among Available Algorithm Formulations
Magnetic Anomalies Caused by 2D Polygonal Structures With Uniform Arbitrary Polarization: New Insights From Analytical/Numerical Comparison Among Available Algorithm Formulations Open
Since the '60s of the last century, the calculation of the magnetic anomalies caused by 2D uniformly polarized bodies with polygonal cross‐section has been mainly performed using the popular algorithm of Talwani and Heirtzler (1962, 1964).…
View article: On the reconstruction and sampling of random fields based on information from limited-size marginals
On the reconstruction and sampling of random fields based on information from limited-size marginals Open
Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Other. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints prep…