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Fitting models for a grain size distribution: a review
Many models are available to fit the curve of a grain size distribution, GSD. The article lists 61 models and 33 comparative studies of models....
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Reconstruction of geodetic time series with missing data and time-varying seasonal signals using Gaussian process for machine learning
Seasonal signals in satellite geodesy time series are mainly derived from a number of loading sources, such as atmospheric pressure and hydrological...
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Modeling spatial distribution of earthquake epicenters using inhomogeneous Log-Gaussian Cox point process
This paper explores the applicability of Inhomogeneous Log-Gaussian Cox point process to a complex spatial mechanism generating the tightly clustered...
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A new approach for estimating solar radiation using Gaussian distribution and develo** new model
The main aim of this study is to develop a new model using the Gaussian distribution in global solar radiation estimation. In this study, a new...
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Geostatistics in the Presence of Multivariate Complexities: Comparison of Multi-Gaussian Transforms
One of the most challenging aspects of multivariate geostatistics is dealing with complex relationships between variables. Geostatistical...
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A feasibility study of using a best group fitting method to determine wind data probability distribution
Probability distributions of wind data in a short time scale, such as hourly, are critically important for the risk assessment in relation to wind...
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A spatial-varying non-isotropic Gaussian-based convolution filter for smoothing GRACE-like temporal gravity fields
AbstractThe strong noise of satellite-based Time-Variable Gravity (TVG) field is often suppressed by applying the averaging filters. However, how to...
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Probabilistic estimation of hydraulic fracture half-lengths: validating the Gaussian pressure-transient method with the traditional rate transient analysis-method (Wolfcamp case study)
Despite significant advancements in geomodelling technologies, accurately estimating hydraulic fracture half-length remains a challenging task. This...
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Variational quality control of non-Gaussian innovations and its parametric optimizations for the GRAPES m3DVAR system
The magnitude and distribution of observation innovations, which have an important impact on the analyzed accuracy, are critical variables in data...
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Probabilistic Back Analysis Based on Nadam, Bayesian, and Matrix-Variate Deep Gaussian Process for Rock Tunnels
Efficiently determining the properties of the rock mass is essential for evaluating tunnel stability in tunneling projects. The back-analysis...
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Seismic Data Integration Workflow in Pluri-Gaussian Simulation: Application to a Heterogeneous Carbonate Reservoir in Southwestern Iran
In this study, we present a procedure for reservoir property modeling in a channelized carbonate reservoir based on hierarchical geostatistical...
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Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models
The laboratory determination of maximum dry density ( ρ dmax ) and optimum moisture content ( w opt ) of soils requires considerable time and energy....
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Electrical rock ty** using Gaussian mixture model to determine cementation factor
Many studies have worked on the estimation of fluid saturation as an important petrophysical property in hydrocarbon reservoirs. Based on Archie's...
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Estimation of probabilistic CPT-based soil profile using an unsupervised Gaussian mixture model
This paper develops a Gaussian Mixture Model (GMM) method to produce the soil profile based on the cone penetration test results (CPT). The...
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Intelligent velocity picking and uncertainty analysis based on the Gaussian mixture model
The stacking velocity is often obtained manually. However, manually picking is inefficient and is easily affected by subjective factors such as the...
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Estimation of source parameters using a non-Gaussian probability density function in a Bayesian framework
Source parameters represent key factors in seismic hazard assessment and understanding source physics of earthquakes. In addition to conventional...
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Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the carbon dioxide benchmark
Surrogate models are widely used to improve the computational efficiency in various geophysical simulation problems by reducing the number of model...
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Augmenting Stationary Covariance Functions with a Smoothness Hyperparameter and Improving Gaussian Process Regression Using a Structural Similarity Index
AbstractGaussian process (GP) regression provides a probabilistic framework for modeling geochemistry in mineral resource estimation and...
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Mitigating Velocity Errors in Least-Squares Imaging Using Angle-Dependent Forward and Adjoint Gaussian Beam Operators
Compared with traditional adjoint-based migration, least-squares migration (LSM) can reduce finite-frequency effects, remove acquisition footprints...
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Ensemble Smoother with Multiple Data Assimilation as a Tool for Curve Fitting and Parameter Uncertainty Characterization: Example Applications to Fit Nonlinear Sorption Isotherms
The ensemble smoother with multiple data assimilation (ES-MDA) coupled to a normal-score transformation is used to fit a Langmuir isotherm curve to...
