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However, even with a correct training image the exact positions of the channels are uncertain.
Suppose you take your first training image, and it's a picture of a piano.
Inter-well prediction is achieved by training image of intercalations established by multi-point statistics.
Automatic image annotation methods based on searching for correlations require a quality training image dataset.
Multiple-point statistics (MPS) is a collection of geostatistical simulation algorithms that uses a multiple-point training image (TI) as structural model instead of a two-point variogram.
Multiple realizations of each of the considered geostatistical models and their corresponding tomograms (based on inversion of noise-contaminated simulated data) are used as a multivariate training image.
The optimal template represents essential geological features of the training image, and its size is much smaller than the template size selected by entropy.
The multiple-point statistics are borrowed from a training image that is designed to reflect the prior geological conceptualization.
This study showed how analogy of modern occurrences can be set as the foundation for generating a training image.
In contrast, multiple point geostatistics can describe almost any kind of shape using the empirical probability distribution derived from a training image.
The generated fracture-vug network using the selected template is able to retrieve the patterns of training image (reference model) more accurately than other used templates.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com