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A river course three-dimensional modeling method based on multi-attribute supervoxel and graph cutting

A 3D modeling and super-voxel technology, which is applied in the field of 3D river modeling based on multi-attribute super-voxel graph cuts, can solve the problems of insufficient research on the construction of 3D river models

Inactive Publication Date: 2019-01-18
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0008] On the whole, most of the existing research on channel geological bodies stays on the identification and detection of two-dimensional planes, and the research on the construction of three-dimensional model of channels is somewhat insufficient.

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  • A river course three-dimensional modeling method based on multi-attribute supervoxel and graph cutting
  • A river course three-dimensional modeling method based on multi-attribute supervoxel and graph cutting
  • A river course three-dimensional modeling method based on multi-attribute supervoxel and graph cutting

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Embodiment Construction

[0085] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0086] see figure 1 , the present invention provides a kind of method for three-dimensional modeling of river channel based on multi-attribute super voxel graph cut, realized by the following steps:

[0087] In step 1, the nonlinear dimensionality reduction algorithm of ISOLLE is used to fuse the seismic attributes of the river channel to obtain the attribute data volume of the river channel.

[0088] In this embodiment, in the process of seismic interpretation, different attribute data describe the geological structure from different angles, and by fusing different attributes, the geological structure of the reservoir can be interpreted more accurately. Since the relationship between seismic attributes and geological features is usually nonlinear, the PCA method based on linear transformation cannot fully reflect this nonlinear relationship, which redu...

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Abstract

The invention provides a river course three-dimensional modeling method based on multi-attribute supervoxel and graph cutting, belonging to the field of geological body three-dimensional model construction. Aiming at the shortcomings of single seismic attribute describing river course, the invention provides a multi-attribute fusion method based on improved local linear embedding, the preferred attributes are fused into new attributes by ISOLLE algorithm, Considering the non-linear relationship between seismic attribute data, a non-linear fusion method is adopted, the fusion attribute is better than the previous attribute, and the accuracy of river edge and region description is improved, which lays a good foundation for the next segmentation and reconstruction. The invention is based on the river course segmentation method of supervoxel and graph cutting, and generates three-dimensional supervoxel through simple linear iterative algorithm, and the generated supervoxel is well close tothe edge of the river course, and has good homogeneity, and then obtains the final segmentation result by combining the graph cutting frame, and obtains the three-dimensional model of the river course surface in the way of extracting the isosurface.

Description

technical field [0001] The invention belongs to the field of three-dimensional model construction of geological bodies, in particular to a method for three-dimensional modeling of river channels based on multi-attribute super-voxel graph cuts. Background technique [0002] Construction of 3D model of geological body (channel) is one of the most important tasks in seismic data interpretation, because most important oil and gas reservoirs exist around geological bodies. The three-dimensional model of the geological body can not only intuitively represent the structural form of the geological body and its distribution in three-dimensional space, but also enable interpreters to conduct quantitative analysis on the geological body, and also provide important information for reservoir numerical simulation and reserve calculation well location deployment. in accordance with. [0003] The edge detection method is a common method for geological body detection. The edge detection-bas...

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Application Information

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IPC IPC(8): G06T17/05G06T7/11G06K9/62
CPCG06T7/11G06T17/05G06F18/213G06F18/23213
Inventor 姚兴苗孙萌阳胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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