Pages that link to "Item:Q887591"
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The following pages link to A multiple training image approach for spatial modeling of geologic domains (Q887591):
Displaying 19 items.
- Stochastic simulation of patterns using Bayesian pattern modeling (Q509792) (← links)
- Facies modeling using a Markov mesh model specification (Q635945) (← links)
- Fast wavelet-based stochastic simulation using training images (Q722820) (← links)
- Comparing training-image based algorithms using an analysis of distance (Q745862) (← links)
- Multiple-point simulation with an existing reservoir model as training image (Q745872) (← links)
- Special issue on 20 years of multiple-point statistics. II (Q887563) (← links)
- Transitive geostatistics for stepwise modeling across boundaries between rock regions (Q972666) (← links)
- Stationarity scores on training images for multipoint geostatistics (Q1028770) (← links)
- Two-dimensional conditional simulations based on the wavelet decomposition of training images (Q1037538) (← links)
- Training image-based scenario modeling of fractured reservoirs for flow uncertainty quantification (Q1663483) (← links)
- Exploiting transformation-domain sparsity for fast query in multiple-point geostatistics (Q1702367) (← links)
- Image transforms for determining fit-for-purpose complexity of geostatistical models in flow modeling (Q1705881) (← links)
- Entropy-based weighting in one-dimensional multiple errors analysis of geological contacts to model geological structure (Q1715412) (← links)
- Conditional simulation of complex geological structures using multiple-point statistics (Q1863230) (← links)
- Downscaling images with trends using multiple-point statistics simulation: an application to digital elevation models (Q2292243) (← links)
- A pattern-matching method for flow model calibration under training image constraint (Q2321972) (← links)
- Local ranking of geological conceptual models in non-stationary settings using multi-point geostatistics (Q2676503) (← links)
- Stochastic simulation of patterns using distance-based pattern modeling (Q5962029) (← links)
- A three-dimensional geological structure modeling framework and its application in machine learning (Q6084330) (← links)
