Real-time in-situ sub-surface imaging

• US 10,393,896 B2
• Filed: 06/23/2015
• Issued: 08/27/2019
• Est. Priority Date: 06/24/2014
• Status: Active Grant

• Current Assignee: Georgia State University Research Foundation, Inc. (University System of Georgia)
• Original Assignee: Georgia State University Research Foundation, Inc. (University System of Georgia)
• Inventors: Song, WenZhan
• Primary Examiner(s): Murphy, Daniel L
• Application Number:
  US15/321,962
• Publication Number:
  US 20170139064A1
• Time in Patent Office: 1,526 Days
• Field of Search: 367 72
• CPC Class Codes: G01V 1/003 Seismic data acquisition in general, e.g. survey design G01V1/3808, G01V1/42 take precedence
• CPC Class Codes: G01V 1/181 Geophones
• CPC Class Codes: G01V 1/22 Transmitting seismic signals to recording or processing apparatus
• CPC Class Codes: G01V 2210/66 Subsurface modeling
• CPC Class Codes: G01V 2210/72 Real-time processing

Abstract

Systems and methods of real-time in-situ sub-surface imaging are described herein.

Claims

1. A real-time in-situ sub-surface imaging system comprised of:

a plurality of wireless sensor nodes and a plurality of wired sensor nodes, wherein each sensor node comprises;

a processor in communication with a memory;

a communication module;

an energy source;

a sensor; and

a sensor interface board; and

a mesh network comprised of the wireless and wired sensor nodes, wherein the plurality of wireless sensor nodes communicate wirelessly with other wireless sensor nodes and the plurality of wired sensor nodes communicate through wires to other wire sensor nodes and wherein the plurality of wireless and wired sensor nodes sense geophysical signals, self-form and self-adapt to form the mesh network for communication among the plurality of sensor nodes,

wherein distributed data processing and sub-surface imaging computing are performed in the mesh network of sensor nodes in real-time.

2. The system of claim 1, wherein performing distributed data processing and sub-surface imaging computing in the mesh network of sensor nodes in real-time comprises performing distributed seismic data processing and tomographic imaging computing in the mesh network of sensor nodes in real-time.

3. The system of claim 2, wherein performing distributed seismic data processing and tomographic computing in the mesh network of sensor nodes in real-time comprises the one or more sensor nodes detecting and locating a seismic event, determining a ray path from the location of the seismic event to the sensor node, and determining at least a portion of a real-time image of an item of interest using the ray path and a distributed tomographic inversion algorithm.

4. The system of claim 3, wherein a resolution of said real-time image of the item of interest increases with additional detected seismic events.

5. The system of claim 3, wherein the item of interest is an oil, gas, mine exploration, or other geological environments.

6. The system of claim 3, wherein the distributed tomographic inversion algorithm comprises vertical-partition tomographic inversion or component-average based distributed seismic tomography inversion.

7. The system of claim 1, wherein a user can retrieve and monitor results of the real-time distributed data processing and sub-surface imaging computing through the one or more sensor nodes.

8. The system of claim 7, wherein the user retrieves and monitors the real-time sub-surface imaging results through a gateway configured to communicate with the wireless sensor nodes and the wired sensor nodes.

9. The system of claim 8, wherein the gateway displays at least a portion of a real-time image of an item of interest.

10. The system of claim 8, wherein at least one of the plurality of sensor nodes comprises a cluster head and the cluster head provides at least a portion of the results of the real-time distributed data processing and sub-surface imaging computing to the gateway.

11. The system of claim 1, wherein the sensor nodes further comprise an energy meter, and computations are performed by each sensor node based on energy used as determined by the energy meter.

12. A method of real-time in-situ sub-surface imaging comprising:

sensing geophysical data, by a sensor node in a mesh network comprised of a plurality of wired and a plurality of wireless sensor nodes, wherein the wireless sensor nodes communicate wirelessly with other wireless sensor nodes and the wired sensor nodes communicate through wires to other wire sensor nodes; and

performing a portion of real-time sub-surface imaging computation based at least in part on data received by the sensor node.

13. The method of claim 12, wherein sensing, by the sensor node in a mesh network of a plurality of sensor nodes, geophysical data, comprises detecting, by at least one of the sensor nodes in the mesh network of a plurality of sensor nodes, an event.

14. The method of claim 13, wherein the sub-surface imaging comprises seismic tomography, and the event is an earthquake or microearthquake or a seismic event caused by an active source.

15. The method of claim 14, wherein performing at least a portion of real-time sub-surface imaging computation based at least in part on data received by the sensor node comprises determining, by the detecting at least one sensor node, a ray path from a location of the seismic event to the sensor node;

and determining, by the detecting at least one sensor node, at least a portion of a real-time image of an item of interest using the ray path and a distributed tomographic inversion algorithm.

16. The method of claim 15, wherein a resolution of said real-time image of the item of interest, as determined by the detecting at least one sensor node, increases with more detected seismic events.

17. The method of claim 12, wherein at least one of the plurality of sensor nodes comprises a gateway configured to communicate with the wireless sensor nodes and the wired sensor nodes, and wherein a user can monitor real-time sub-surface imaging results through the at least one sensor node that acts as the gateway.

18. The method of claim 17, wherein at least one of the plurality of sensor nodes comprises a cluster head and the cluster head provides at least a portion of a real-time sub-surface imaging result to the gateway.