3D modeling method for cementing hydrate sediment based on CT image
11694338 ยท 2023-07-04
Assignee
Inventors
- Yongchen Song (Liaoning, CN)
- Yanghui Li (Liaoning, CN)
- Peng Wu (Liaoning, CN)
- Xiang Sun (Liaoning, CN)
- Weiguo Liu (Liaoning, CN)
- Jiafei Zhao (Liaoning, CN)
- Mingjun Yang (Liaoning, CN)
- Lei Yang (Liaoning, CN)
- Zheng Ling (Liaoning, CN)
Cpc classification
G06T17/10
PHYSICS
G01V99/00
PHYSICS
G06V10/467
PHYSICS
G06V10/22
PHYSICS
International classification
G06T17/10
PHYSICS
Abstract
The present invention belongs to the technical field of petroleum exploitation engineering, and discloses a 3D modeling method for cementing hydrate sediment based on a CT image. Indoor remolding rock cores or in situ site rock cores without hydrate can be scanned by CT; a sediment matrix image stack and a pore image stack are obtained by gray threshold segmentation; then, a series of cementing hydrate image stacks with different saturations are constructed through image morphological processing of the sediment matrix image stack such as dilation, erosion and image subtraction operation; and a series of digital rock core image stacks of the cementing hydrate sediment with different saturations are formed through image subtraction operation and splicing operation to provide a relatively real 3D model for the numerical simulation work of the basic physical properties of a reservoir of natural gas hydrate.
Claims
1. A 3D modeling method for cementing hydrate sediment based on CT image, comprising steps of: step 1, scanning remolding or in situ rock cores without natural gas hydrate by CT to obtain digital rock core image stacks; step 2, adjusting the gray threshold of the digital rock core image stacks, conducting binarization segmentation to obtain a sediment matrix and a pore, and respectively saving as the image stacks; step 3, firstly dilating a sediment matrix image stack obtained in step 2 at x pixel and then eroding at x pixel; step 4, performing image subtraction; and subtracting the sediment matrix image stack obtained in step 2 from the sediment matrix image stack obtained in step 3 to obtain a cementing hydrate image stack; step 5, performing image subtraction again; and subtracting the cementing hydrate image stack obtained in step 4 from the pore image stack obtained in step 2 to obtain a new pore image stack corresponding to the cementing hydrate image stack obtained in step 4; step 6, splicing and combining the sediment matrix image stack obtained in step 2, the cementing hydrate image stack obtained in step 4 and the new pore image stack obtained in step 5 to form a digital rock core image stack with the sediment matrix, the cementing hydrate and the pore, which is the digital rock core image stack of the cementing hydrate sediment; step 7, repeatedly executing step 3 to step 6, and adjusting x value to obtain the digital rock core image stacks of the cementing hydrate sediment with different hydrate saturations.
Description
DESCRIPTION OF DRAWINGS
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DETAILED DESCRIPTION
(6) Specific embodiments of the present invention are further described below in combination with accompanying drawings and the technical solution.
Embodiments
(7) A 3D modeling method for cementing hydrate sediment based on a CT image comprises the following steps:
(8) step 1, scanning remolding rock cores (particle size distribution: 0.01-1 mm; median particle size: 0.15 mm; porosity: 41%) without natural gas hydrate by CT to obtain digital rock core image stacks (resolution: 1024*1024; voxel size: 0.004 mm);
(9) step 2, adjusting the gray threshold of the digital rock core image stacks, conducting binarization segmentation to obtain a sediment matrix and a pore, and respectively saving as the image stacks, as shown in
(10) step 3, firstly dilating a sediment matrix image stack obtained in step 2 at 4 pixels, as shown in
(11) step 4, performing image subtraction; and subtracting the sediment matrix image stack obtained in step 2 from the (eroded) sediment matrix image stack obtained in step 3 to obtain a cementing hydrate image stack, as shown in
(12) step 5, performing image subtraction again; and subtracting the cementing hydrate image stack obtained in step 4 from the pore image stack obtained in step 2 to obtain a new pore image stack corresponding to the cementing hydrate image stack obtained in step 4;
(13) step 6, splicing and combining the sediment matrix image stack obtained in step 2, the cementing hydrate image stack obtained in step 4 and the new pore image stack obtained in step 5 to form a digital rock core image stack with the sediment matrix, the cementing hydrate and the pore, which is the digital rock core image stack of the cementing hydrate sediment (saturation: 26.1%), as shown in