Method for determining fabric and upscaled properties of geological sample
First Claim
Patent Images
1. A method for determining fabric of a geological sample, comprising:
- a) detecting key points for at least one digital image of a geological sample;
b) feature extracting using the key points to quantitatively represent resolved and unresolved texture using a model;
c) pattern recognizing for feature classification which defines clusters of key points corresponding to a perceptually homogenous texture;
d) texture segmenting to construct resolved and unresolved area/volume based on the clusters of key points.
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Abstract
A method for determining fabric and upscaled properties of a geological sample, such as a rock sample. A system for the method also is provided.
8 Citations
10 Claims
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1. A method for determining fabric of a geological sample, comprising:
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a) detecting key points for at least one digital image of a geological sample; b) feature extracting using the key points to quantitatively represent resolved and unresolved texture using a model; c) pattern recognizing for feature classification which defines clusters of key points corresponding to a perceptually homogenous texture; d) texture segmenting to construct resolved and unresolved area/volume based on the clusters of key points. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for determining fabric of a geological sample, comprising:
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i) a digital image acquisition system for obtaining digital images on a geological sample, wherein the digital image acquisition system is selected from at least one of X-ray computed tomography (CT) scanner, micro X-ray CT, nuclear magnetic resonance (NMR) imaging system, scanning electron microscope (SEM), and focused ion beam-scanning electron microscope (FIB-SEM); ii) one or more computer systems comprising at least one processing unit and/or computer programs stored on a non-transitory computer-readable medium operable to a) capture digital images obtained by the digital image acquisition system, b) detect key points for at least one digital image of a geological sample, c) extract features using the key points to quantitatively represent resolved and unresolved texture using a model, d) recognize a pattern for feature classification which defines clusters of key points corresponding to a perceptually homogenous texture, and e) segment texture to construct resolved and unresolved area/volume based on the clusters of key points.
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Specification