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Showing 1 to 3 of 3 for “"multiple point statistics"”.

  1. BUILDING A BETTER TRAINING IMAGE WITH DIGITAL OUTCROP MODELS: THESE GO TO ELEVEN

    … facies geometries and fluid flow paths. Multiple-point statistics (MPS) has shown promise in portraying complex geometries realistically; however, realizations are limited by the reliability of the model of heterogeneity upon which MPS relies, that is the Training Image (TI). Attempting …

    unm Repository record for BUILDING A BETTER TRAINING IMAGE WITH DIGITAL OUTCROP MODELS: THESE GO TO ELEVEN (opens in a new tab)

  2. Uncertainty in Geothermal Numerical Models: a Contribution from Geostatistics and Bayesian Methods

    … was addressed by geostatistical simulation. Multiple-point statistics (MPS) algorithms were introduced. The main feature of a MPS algorithm is that it relies on a training image and through the use of multiple training images spatial uncertainties in subsurface flow problems are addressed. …

    auckland-ms Repository record for Uncertainty in Geothermal Numerical Models: a Contribution from Geostatistics and Bayesian Methods (opens in a new tab)

  3. Stochastic inversion of seismic data by implementing image quilting to build a litho-facies model for reservoir characterization of Delhi field, LA

    … whole inversion approach is performed including multiple point statistics (MPS). The key element in the MPS algorithms is the training image. It is a conceptual model from the reservoir, which is built based on information from the reservoir regarding the depositional environment, structure, and …

    colo-mines Repository record for Stochastic inversion of seismic data by implementing image quilting to build a litho-facies model for reservoir characterization of Delhi field, LA (opens in a new tab)