Systems and methods for modeling 3D geological structures
Systems and methods for modeling a three-dimensional (3D) geological structure to improve maximum continuity interpolation. An integration method describes local anisotropic effects and introduces interpolation techniques to perform the interpolation between two points of interest along a direction of maximum continuity and across fault surfaces.
1. A computer-implemented method for modeling a three-dimensional (“3D”) geological structure, which comprises:
selecting input data for the geological structure;
digitizing an image of the geological structure represented by the input data, the digitized image comprising multiple sample points;
processing the digitized image using intelligent point densification to only initialize a location for each sample point and optimize each sample point location;
calculating a structure and diffusion tensor field for the digitized image, each tensor for the tensor field being linked with a respective sample point at an optimized sample point location for the respective sample point;
processing the digitized image using structure-oriented smoothing to form an enhanced image;
calculating a fault displacement field for the digitized image using a computer processor; and
interpolating the structure and diffusion tensor field, the enhanced image and the fault displacement field to produce a 3D geological model.
2. The method of claim 1 , wherein the input data comprises seismic data, layering intervals, map views and hand drawings.
3. The method of claim 1 , wherein digitizing the image comprises one of rasterizing or compressing the image.
4. The method of claim 1 , wherein each tensor is linked with a respective sample point based on a nearest neighbor search.
5. The method of claim 1 , wherein each tensor is linked with a respective sample point based on a natural-neighbor search.
6. The method of claim 1 , wherein the structure-oriented smoothing comprises at least one of coherency-enhancing anisotropic filters, structure-oriented interpretation filters, recursive (anisotropic) Gaussian filters and bilateral filters.
7. The method of claim 1 , wherein calculating the fault displacement field for the digitized image comprises searching for apparent displacement vectors in the digitized image and searching for locations of peaks of local cross-correlations between adjacent-vertical traces for the digitized image.
8. The method of claim 7 , wherein calculating the fault displacement field for the digitized image may be applied to any format of digitized data pertaining to structural information.
9. The method of claim 1 , wherein the step of interpolating comprises natural-neighbor interpolation.
10. The method of claim 1 , wherein the step of interpolating comprises image-guided-blended-neighbor interpolation.
11. A non-transitory computer readable medium tangibly carrying computer executable instructions for modeling a three-dimensional (“3D ”) geological structure, the instructions being executable to implement:
selecting input data for the geological structure;
digitizing an image of the geological structure represented by the input data, the digitized image comprising multiple sample points;
processing the digitized image using intelligent point densification to only initialize a location for each sample point and optimize each sample point location;
calculating a structure and diffusion tensor field for the digitized image, each tensor for the tensor field being linked with a respective sample point at an optimized sample point location for the respective sample point;
processing the digitized image using structure-oriented smoothing to form an enhanced image;
calculating a fault displacement field for the digitized image; and
interpolating the structure and diffusion tensor field, the enhanced image and the fault displacement field to produce a 3D geological model.
12. The computer readable medium of claim 11 , wherein the input data comprises seismic data, layering intervals, map views and hand drawings.
13. The computer readable medium of claim 11 , wherein digitizing the image comprises one of rasterizing or compressing the image.
14. The computer readable medium of claim 11 , wherein each tensor is linked with a respective sample point based on a nearest neighbor search.
15. The computer readable medium of claim 11 , wherein each tensor is linked with a respective sample point based on a natural-neighbor search.
16. The computer readable medium of claim 11 , wherein the structure-oriented smoothing comprises at least one of coherency-enhancing anisotropic filters, structure-oriented interpretation filters, recursive (anisotropic) Gaussian filters and bilateral filters.
17. The computer readable medium of claim 11 , wherein calculating the fault displacement field for the digitized image comprises searching for apparent displacement vectors in the digitized image and searching for locations of peaks of local cross-correlations between adjacent-vertical traces for the digitized image.
18. The computer readable medium of claim 17 , wherein calculating the fault displacement field for the digitized image may be applied to any format of digitized data pertaining to structural information.
19. The computer readable medium of claim 11 , wherein the step of interpolating comprises natural-neighbor interpolation.
20. The computer readable medium of claim 11 , wherein the step of interpolating comprises image-guided-blended-neighbor interpolation.