FIELD: pore system modelling.
SUBSTANCE: invention relates to a method and device for measuring the characteristics of a rock column to create a model of a pore system. The method includes obtaining a nuclear magnetic image of a rock column obtained through nuclear magnetic resonance imaging; obtaining the correlation length in accordance with the nuclear magnetic image and performing calculations of the convolution kernel of a three-dimensional tensor in accordance with the correlation length; obtaining a T2 spectrum of a rock column obtained by nuclear magnetic resonance, and obtaining a frequency distribution of pore throat radii in accordance with the T2 spectrum; formation of an initial array of three-dimensional tensor data in accordance with the frequency distribution of pore channel radii; generating, in accordance with the convolution kernel of the three-dimensional tensor and the original data array of the three-dimensional tensor, and by applying the forward propagation algorithm of the convolutional neural network, a data array of the three-dimensional tensor corresponding to the frequency distribution of the radii of the pore channel of the rock column; creating a disordered spatial structure of the pore system model in accordance with the initial 3D tensor data array; and creating a pore system model in accordance with the 3D tensor data array corresponding to the frequency distribution of the radii of the pore channel of the rock column, and the disordered spatial structure.
EFFECT: increasing the accuracy of modelling the pore system.
12 cl, 11 dwg
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Authors
Dates
2024-01-23—Published
2020-11-03—Filed