Geologic heterogeneity representation using high‐order spatial cumulants for subsurface flow and transport simulations
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- Type
- article
- Published
- 2011-08-01
- Cited by
- 19
- References
- 92
- Access
- Open access
- OpenAlex
- https://openalex.org/W1530340625
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:116895885
Keywords
Aquifer, Cumulant, Groundwater flow, Gaussian, Geostatistics
References
- Spatial variation : Stochastic models and their application to some problems in forest surveys and other sampling investigations
- Handbook of Applied Advanced Geostatistical Ore Reserve Estimation
- Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics
- Higher-order spectra analysis : a nonlinear signal processing framework
- Modeling Spatial Variability with One and Multidimensional Continuous-Lag Markov Chains
- Combining geologic‐process models and geostatistics for conditional simulation of 3‐D subsurface heterogeneity
- Convergence assessment of numerical Monte Carlo simulations in groundwater hydrology
- When good statistical models of aquifer heterogeneity go bad: A comparison of flow, dispersion, and mass transfer in connected and multivariate Gaussian hydraulic conductivity fields
- Stochastic analysis of steady state groundwater flow in a bounded domain: 2. Two‐dimensional simulations
- Geologic heterogeneity and a comparison of two geostatistical models: Sequential Gaussian and transition probability-based geostatistical simulation
- Spatial Connectivity: From Variograms to Multiple-Point Measures
- Importance of Rock Matrix Entry Pressure on DNAPL Migration in Fractured Geologic Materials
- Stationarity Scores on Training Images for Multipoint Geostatistics
- To be or not to be multi-Gaussian? A reflection on stochastic hydrogeology
- Multiple-Point Simulations Constrained by Continuous Auxiliary Data
- Which sub-seismic heterogeneities influence waterflood performance? A case study of a low net-to-gross fluvial reservoir
- Some Problems in the Spectral Theory of Higher-Order Moments. I
- Macrodispersion in sand‐shale sequences
- High-order Statistics of Spatial Random Fields: Exploring Spatial Cumulants for Modeling Complex Non-Gaussian and Non-linear Phenomena
- GSLIB: Geostatistical Software Library and User's Guide
Cited by
- Numerical modeling of contaminant transport in a stratified heterogeneous aquifer with dipping anisotropy
- A new approach to spatial data interpolation using higher-order statistics
- Adaptive Conditioning of Multiple-Point Statistical Facies Simulation to Flow Data with Probability Maps
- Impact of Data Density and Geostatistical Simulation Technique on the Estimation of Residence Times in a Synthetic Two-dimensional Aquifer
- Accelerating experimental high-order spatial statistics calculations using GPUs
- Geologic heterogeneity recognition using discrete wavelet transformation for subsurface flow solute transport simulations
- CDFSIM: Efficient Stochastic Simulation Through Decomposition of Cumulative Distribution Functions of Transformed Spatial Patterns
- Bridges between multiple-point geostatistics and texture synthesis: Review and guidelines for future research
- Multiple-point simulation of Olympic Dam copper deposit, Australia, using wavelet analysis
- Joint High-Order Simulation of Spatially Correlated Variables Using High-Order Spatial Statistics
- High-order simulation at block support scale
- Joint simulation of correlated variables using high-order spatial statistics for orebody modeling
- A method to generate small-scale, high-resolution sedimentary bedform architecture models representing realistic geologic facies
- High-Order Spatial Simulation Using Legendre-Like Orthogonal Splines
- A New Non-stationary High-order Spatial Sequential Simulation Method
- An efficient hybrid-grid crossflow equilibrium model for field-scale fractured reservoir simulation
- Uncertainty quantification of structural and geotechnical parameter by geostatistical simulations applied to a stability analysis case study with limited exploration data
- Direct kriging: A direct optimization based model with locally varying anisotropy
- Approximations of High-Order Spatial Statistics Through Decomposition
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