System and method for reproducibly extracting consistent horizons from seismic images
View Patent ↗A system and method is provided for analyst to rapidly and accurately identify and model subsurface geologic horizons, which are bounding surfaces of rock layers, by extracting surfaces from two-dimensional and three-dimensional seismic data.
1. A seismic horizon extracting system, comprising:
a store that stores a set of seismic data;
a horizon tracking component, coupled to the store, that sets one or more parameters to track a horizon based on the seismic data and propagates a horizon based on the seismic data to track the horizon using a monotonic function to control a path process that propagates the horizon, wherein the monotonic function is a confidence of each seed point along a path generated from the seismic data.
2. The system of claim 1 further comprising a fault block analyzer component coupled to the horizon tracking component that performs fault block analysis on the seismic data to generate fault block data and the horizon tracking component propagates the horizon based on the seismic data and the fault block data to create multi-valued horizons.
3. The system of claim 1 , wherein the fault block analyzer component sets the confidence along a block-bounding fault to zero to prevent the horizon from propagating across the fault.
4. The system of claim 1 , wherein the confidence is: C i =C i-1 x i,i-1 , where i indicates a point on a surface, i−1 indicates the point's antecedent during horizon extraction, and x i,i-1 is the maximum of the normalized cross-correlation of windows of the seismic traces at locations i and i−1, and zero.
5. The system of claim 1 , wherein the path process is one of a shortest path process, a distance transform process and an eikonal solver process.
6. The system of claim 1 , wherein the horizon tracking component accepts a modification of the confidence of a point on a horizon to modify an extracted horizon.
7. The system of claim 6 , wherein the horizon tracking component repropagates the horizon using the modified confidence of a point on the extracted horizon.
8. The system of claim 1 , wherein the horizon tracking component further comprises a plurality of lines of computer code executed by a processor of a computer system.
9. The system of claim 8 , wherein the fault block analyzer component further comprises a plurality of lines of computer code executed by a processor of a computer system.
10. The system of claim 9 further comprising a computer system having at least one processor and memory, wherein the horizon tracking component and the fault block analyzer component are stored in the memory and executed by the at least one processor.
11. A seismic horizon extracting method, comprising:
receiving seismic data;
setting one or more parameters to track a horizon based on the seismic data;
propagating a horizon based on the seismic data to track the horizon using a monotonic function to control a path process that propagates the horizon, wherein the monotonic function is a confidence of each seed point along a path generated from the seismic data.
12. The method of claim 11 further comprising performing fault block analysis on the seismic data to generate fault block data and propagating the horizon based on the seismic data and the fault block data to create multi-valued horizons.
13. The method of claim 12 , wherein the monotonic function is a confidence of each seed point along a path generated from the seismic data.
14. The method of claim 13 , wherein performing fault block analysis further comprising setting the confidence along a block-bounding fault to zero to prevent the horizon from propagating across the fault.
15. The method of claim 11 , wherein the confidence is: C i =C i-1 x i,i-1 , where i indicates a point on a surface, i−1 indicates the point's antecedent during horizon extraction, and x i,i-1 is the maximum of the normalized cross-correlation of windows of the seismic traces at locations i and i−1, and zero.
16. The method of claim 11 , wherein the path process is one of a shortest path process, a distance transform process and an eikonal solver process.
17. The method of claim 11 further comprising modifying the confidence of a point on a horizon to modify an extracted horizon.
18. The method of claim 17 further comprising repropagating the horizon using the modified confidence of a point on the extracted horizon.