Digital pore alteration methods and systems
A method includes receiving images of a rock sample. The method also includes modifying a set of voxels related to one or more of the received images by applying a digital pore growing operation that changes non-pore voxels surrounding a pore space to pore voxels, wherein the digital pore growing operation is based at least in part on a predetermined dead oil estimate. The method also includes estimating a property of the rock sample based at least in part on the modified set of voxels.
1. A method that comprises:
receiving images of a rock sample;
building a volume of voxels from the images;
modifying a set of the voxels by applying a digital pore growing operation that changes non-pore voxels surrounding a pore space to pore voxels, wherein the digital pore growing operation is based at least in part on a predetermined dead oil estimate indicating that the non-pore voxels that are changed represent a dead oil and/or bitumen layer surrounding the pore space within the rock sample; and
estimating a property of the rock sample based at least in part on the modified set of voxels.
2. The method of claim 1 , wherein the predetermined dead oil estimate is based on a chemical analysis test.
3. The method of claim 2 , wherein the chemical analysis test comprises detecting existence or concentration of one or more gasses released from the rock sample while the rock sample is heated.
4. The method of claim 1 , wherein the digital pore growing operation comprises performing an adjustment operation in response to determining that a first pore growth does not match the predetermined dead oil estimate to within a threshold tolerance.
5. The method of claim 4 , wherein the adjustment operation comprises using a pore growth trend to adjust the modified set of voxels or to estimate the property of the rock sample.
6. The method of claim 5 , further comprising identifying and using the pore growth trend to estimate the property of the rock sample for pore growth values that are between two pore growth layers used to establish the pore growth trend.
7. The method of claim 5 , further comprising using the pore growth trend to estimate the property of the rock sample for pore growth values that are beyond all pore growth layers used to establish the pore growth trend.
8. The method of claim 4 , wherein the adjustment operation comprises reducing a voxel size and performing another digital pore growing operation based on the reduced voxel size.
9. The method of claim 4 , wherein the adjustment operation comprises re-scanning images of the rock sample to obtain higher resolution images, and then applying another digital pore growing operation to a set of voxels related to one or more of the re-scanned images.
10. The method of claim 1 , further comprising generating the set of voxels as a two-dimensional data set based on one or more of the received images.
11. The method of claim 1 , further comprising generating the set of voxels as a three-dimensional data set based on a plurality of the received images.
12. 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:
receive images of a rock sample and a predetermined dead oil estimate for the rock sample;
build a volume of voxels from the images; and
modify a set of the voxels by applying a digital pore growing operation that changes non-pore voxels surrounding a pore space to pore voxels, wherein the digital pore growing operation is based at least in part on the predetermined dead oil estimate indicating that the non-pore voxels that are changed represent a dead oil and/or bitumen layer surrounding the pore space; and
estimate a property of the rock sample based at least in part on the modified set of voxels.
13. The system of claim 12 , wherein the software further causes the one or more processors to perform an adjustment operation in response to determining that a first pore growth does not match the predetermined dead oil estimate to within a threshold tolerance.
14. The system of claim 13 , wherein the adjustment operation comprises identifying and using a pore growth trend to adjust the modified set of voxels or to estimate the property of the rock sample.
15. The system of claim 14 , wherein the software further causes the one or more processors to use the pore growth trend to estimate the property of the rock sample for pore growth values that are between two pore growth layers used to establish the pore growth trend.
16. The system of claim 14 , wherein the software further causes the one or more processors to use the pore growth trend to estimate the property of the rock sample for pore growth values that are beyond all pore growth layers used to establish the pore growth trend.
17. The system of claim 13 , wherein the adjustment operation comprises reducing a voxel size and performing another digital pore growing operation based on the reduced voxel size.
18. The system of claim 13 , wherein the adjustment operation comprises re-scanning images of the rock sample to obtain higher resolution images, and then applying another digital pore growing operation to a set of voxels related to one or more of the re-scanned images.
19. The system of claim 12 , wherein the software further causes the one or more processors to generate the set of voxels as a two-dimensional data set based on one or more of the received images.
20. The system of claim 12 , wherein the software further causes the one or more processors to generate the set of voxels as a three-dimensional data set based on a plurality of the received images.