US 2022/0101055 A1 · METHOD AND SYSTEM FOR CONSTRUCTING DIGITAL ROCK

Abstract

The present disclosure provides a method and system for constructing a digital rock, and relates to the technical field of digital rocks. According to the method, a three-dimensional (3D) digital rock image that can reflect real rock information is obtained using an image scanning technology, and the image is preprocessed to obtain a digital rock training image for training a generative adversarial network (GAN). The trained GAN is stored to obtain a digital rock construction model. The stored digital rock construction model can be directly used to quickly construct a target digital rock image. This not only greatly reduces computational costs, but also reduces costs and time consumption for obtaining high-resolution sample images. In addition, the constructed target digital rock image can also reflect real rock information.

Claims10

Dependent claims

A method for constructing a digital rock, comprising:

obtaining a digital rock training image, wherein the digital rock training image is a digital rock sample image of a known rock;
segmenting the digital rock training image into a plurality of sub-samples, and storing all the sub-samples as a sample set;
training a generative adversarial network (GAN) using the sample set and a random sample noise to obtain a digital rock construction model, wherein the digital rock construction model is the GAN trained using the sample set and the random sample noise, and the digital rock construction model is configured to construct a target digital rock image;
obtaining a target random noise;
and
inputting the target random noise into the digital rock construction model to obtain the target digital rock image.

3 more elements

A system for constructing a digital rock, comprising:

a digital rock training image module, configured to obtain a digital rock training image, wherein the digital rock training image is a digital rock sample image of a known rock,
a sample set module, configured to segment the digital rock training image into a plurality of sub-samples, and store all the sub-samples as a sample set;
a digital rock model module, configured to train a generative adversarial network (GAN) using the sample set and a random sample noise to obtain a digital rock construction model, wherein the digital rock construction model is the GAN trained using the sample set and the random sample noise, and the digital rock construction model is configured to construct a target digital rock image;
an obtaining module, configured to obtain a target random noise;
and
a target digital rock image module, configured to input the target random noise into the digital rock construction model to obtain the target digital rock image.

3 more elements

Dependencies are inferred from the claim text.

Method and system for constructing digital rock

Life of this patent

Method and system for constructing digital rock

Life of this patent

Abstract

Claims10