Digital rock physics-based trend determination and usage for upscaling
An example method includes acquiring two-dimensional (2D) or three-dimensional (3D) digital images of a rock sample. The method also includes selecting a subsample within the digital images. The method also includes deriving a trend or petrophysical property for the subsample. The method also includes applying the trend or petrophysical property to a larger-scale portion of the digital images.
1. A method that comprises:
acquiring a two-dimensional (2D) or three-dimensional (3D) digital image of a rock sample;
selecting a subsample within the digital image;
deriving a trend for the subsample, wherein the trend comprises a relationship between petrophysical properties of the subsample;
applying the trend to a larger-scale portion of the digital image; and
performing subsequent analysis of the digital image based on the applied trend.
2. The method of claim 1 , wherein selecting the subsample comprises identifying a fully-resolved entity within the digital images and selecting the fully-resolved entity as the subsample.
3. The method of claim 2 , further comprising performing a statistical analysis to identify the fully-resolved entity.
4. The method of claim 2 , further comprising performing image-processing to identify the fully-resolved entity.
5. The method of claim 1 , wherein selecting the subsample comprises identifying an unresolved entity within the digital images, obtaining a higher-resolution image of the unresolved entity, identifying a fully-resolved entity within the higher-resolution image, and selecting the fully-resolved entity as the subsample.
6. The method of claim 1 , further comprising relating a property value of the larger-scale sample to the trend or petrophysical property.
7. The method of claim 1 , further comprising deriving a trend or petrophysical property for each of a plurality of subsamples, and applying an aggregation of the trends or petrophysical properties to a larger-scale portion of the digital images.
8. The method of claim 1 , wherein deriving a trend or petrophysical property comprises deriving a multi-modal distribution of property measurements.
9. The method of claim 1 , wherein deriving a trend for the subsample comprises determining a distribution of property measurements and extracting component distributions.
10. The method of claim 1 , further comprising:
acquiring additional 2D or 3D digital images of the rock sample;
selecting an additional subsample within the digital images;
deriving an additional trend for the subsample;
applying the additional trend to the larger-scale portion of the digital images; and
performing subsequent analysis of the digital images based on the applied additional trend.
11. A system that comprises:
a memory having software; and
one or more processors coupled to the memory to execute the software, the software causing the one or more processors to:
acquire a two-dimensional (2D) or three-dimensional (3D) digital image of a rock sample;
select a subsample within the digital image;
derive a trend for the subsample, wherein the trend comprises a relationship between petrophysical properties of the subsample; and
apply the trend to a larger-scale portion of the digital image;
performing subsequent analysis of the digital images based on the applied trend.
12. The system of claim 11 , wherein the software causes the one or more processors to select the subsample by identifying a fully-resolved entity within the digital images and by selecting the fully-resolved entity as the subsample.
13. The system of claim 12 , wherein the software causes the one or more processors to perform a statistical analysis to identify the fully-resolved entity.
14. The system of claim 12 , wherein the software causes the one or more processors to perform image-processing to identify the fully-resolved entity.
15. The system of claim 11 , wherein the software causes the one or more processors to select the subsample by identifying an unresolved entity within the digital images, obtaining a higher-resolution image of the unresolved entity, identifying a fully-resolved entity within the higher-resolution image, and selecting the fully-resolved entity as the subsample.
16. The system of claim 11 , wherein the software further causes the one or more processors to relate a property value of the larger-scale sample to the trend or petrophysical property.
17. The system of claim 11 , wherein the software causes the one or more processors to derive a trend or petrophysical property for each of a plurality of subsamples, and to apply an aggregation of the trends or petrophysical properties to a larger-scale portion of the digital images.
18. The system of claim 11 , wherein the software further causes the one or more processors to deriving a trend or petrophysical property by deriving a multi-modal distribution of property measurements.
19. The system of claim 11 , wherein the software further causes the one or more processors to derive a trend for the subsample by determining a distribution of property measurements and extracting component distributions.
20. The system of claim 11 , wherein the software further causes the one or more processors to perform subsequent analysis of additional digital images based on the applied trend.