Systems and methods for detecting shallow buried objects
View Patent ↗The invention relates to a seismic system having an array of nodes, each capable of emitting and detecting seismic signals. The array of nodes is mounted on a mobile platform in a certain geometry and is configured to acquire subsurface data, and more particularly detect shallow buried objects, while being translated over a surface. Such a seismic system allows for high subsurface point redundancy by providing a large number of channels of data used to sum the energy at a point in the subsurface. In other aspects, the invention relates to methods for processing the acquired data to increase signal-to-noise ratio. In still other aspects, the invention relates to methods for imaging the data for visualization on a display.
1. A method of subsurface imaging, comprising
providing an array of nodes including, at least a first node and a second node that are each capable of emitting and detecting signals; and
acquiring a set of array seismic data by, iteratively:
positioning the array of nodes adjacent a surface, at a first location,
emitting a source signal by the first node at the first location and detecting a first response signal by the second node, thereby acquiring a first set of seismic data corresponding to the first location,
emitting a source signal from at least the second node in the array of nodes and receiving a response signal in at least the first node in the array of nodes, thereby acquiring a second set of seismic data corresponding to the first location.
2. The method of claim 1 , further comprising moving the array of nodes to another location and repeating the steps of emitting by the first node and emitting by the second node.
3. The method of claim 1 , further comprising identifying imperfections in the first and second sets of seismic data, at least in part, by comparing the first set of seismic data with the second set of seismic data.
4. The method of claim 3 , further comprising imaging the subsurface by altering at least one of the first and second sets of seismic data based, at least in part, on the identified imperfections.
5. The method of claim 3 , wherein comparing the first set of seismic data with the second set of seismic data includes cross correlating the first set of seismic data with the second set of seismic data and examining a normalized cross correlation coefficient to identify imperfections.
6. The method of claim 3 , wherein identifying imperfections includes calculating a time delay associated with at least one of the first node and the second node by subtracting a time delay of the first set of seismic data from a time delay of the second set of seismic data.
7. The method of claim 6 , further comprising imaging the subsurface by altering at least one of the first and second sets of seismic data based, at least in part, on the identified imperfections.
8. The method of claim 7 , wherein altering at least one of the first and second sets of seismic data includes removing the time delay associated with the first node and the time delay associated with the second node.
9. The method of claim 3 , wherein identifying imperfections includes correlating the first set of seismic data with the second set of seismic data and calculating a transfer function associated with the first node and a transfer function associated with the second node by decomposing the correlation of the first set and second sets of seismic data.
10. The method of claim 6 , further comprising imaging the subsurface by altering at least one of the first and second sets of seismic data based, at least in part, on the identified imperfections.
11. The method of claim 10 , wherein altering at least one of the first and second sets of seismic data includes removing the transfer function associated with the first node and the transfer function associated with the second node.
12. The method of claim 1 , wherein the array of nodes includes five or more nodes, each capable of emitting and detecting signals.
13. The method of claim 12 , wherein at least one of the first and second sets of seismic data includes response signals detected at all the nodes in the array of nodes.
14. The method of claim 4 , wherein altering at least one of the first and second sets of data includes normalizing the identified imperfections.
15. The method of claim 1 , wherein the source signal is emitted to a region below the surface and the response signal includes a component of the source signal modified by interactions with the region below the surface.
16. The method of claim 15 , wherein the response signal further includes a component corresponding to the effect of seismic coupling between the surface and at least one of the first node and second node.
17. The method of claim 3 , wherein the imperfections in the set of array seismic data include at least one of the variation of seismic coupling between the surface and at least one of the first node and second node, delay and/or distortion of the source signal due to near surface subsurface heterogeneity, interfering waves, seismic reverberation and random noise.
18. The method of claim 1 , wherein the array of nodes includes a plurality of nodes and is configured to acquire at least 500 sets of seismic data.
19. The method of claim 2 , wherein the array of nodes includes a plurality of nodes and is configured to acquire at least 500 sets of seismic data.
20. The method of claim 4 , wherein the subsurface includes at least one object and the method further comprises detecting a subsurface object based, at least in part, on the imaged subsurface.
21. An apparatus for imaging a subsurface volume, comprising
an array of nodes, including at least a first node and a second node, each capable of emitting and detecting signals, for acquiring a set of array seismic data, and
a computer in communication with the array of nodes for processing and imaging the acquired data,
wherein array of nodes is adapted to acquire a first set of seismic data by emitting a source signal from the first node and detecting a response signal at the second node, and a second set of seismic data by emitting a source signal from the second node and detecting a response signal at the first node, and
wherein the computer is configured to identify imperfections in the first and second sets of seismic data and image the subsurface by removing imperfections in at least one of the first and the second sets of seismic data.
22. The apparatus of claim 21 , wherein the array of nodes includes five or more nodes.
23. The apparatus of claim 21 , wherein the nodes in the array of nodes are separated by a distance of about 20 cm.
24. The apparatus of claim 21 , wherein the computer includes a data processing application for processing the acquired data.
25. The apparatus of claim 21 , wherein the computer includes a data imaging application for imaging the acquired data.
26. The apparatus of claim 21 , wherein the array of nodes includes a motion module for moving the array from one location to another location.
27. The apparatus of claim 26 , wherein the motion module includes at least one of a wheel, a roller, a motor and an electronic motor controller circuit.
28. The apparatus of claim 21 , wherein the computer includes an array control application for controlling the movement of the array of nodes.