CONFIGURING WIRELESS SEISMIC ACQUISITION NETWORKS

• US 20100208551A1
• Filed: 02/13/2009
• Published: 08/19/2010
• Est. Priority Date: 02/13/2009
• Status: Abandoned Application

• Current Assignee: WesternGeco LLC (Schlumberger NV)
• Original Assignee: WesternGeco LLC (Schlumberger NV)
• Inventors: Dao, Anh Duc, Golparian, Daniel
• Application Number:
  US12/370,780
• Publication Number:
  US 20100208551A1
• Time in Patent Office: Days
• US Class Current: 367/77
• CPC Class Codes: G01V 1/223 Radioseismic systems
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks

Abstract

Described herein are implementations of various technologies for a method for configuring a wireless seismic acquisition network. A plurality of seismic receivers may be positioned over a survey area in a fixed pattern. A first message may be received from the receivers. The first message may indicate one or more base stations that are available for transferring seismic data from the receivers to a recording system. A second message may be received from the base stations. The second message may indicate a maximum number of receivers for which each of the base stations can transfer seismic data. One of the base stations may be assigned to each receiver without exceeding the maximum number.

Claims

1. A method for configuring a wireless seismic acquisition network, comprising:

positioning a plurality of seismic receivers over a survey area in a fixed pattern;

receiving a first message from the receivers, wherein the first message indicates one or more base stations that are available for transferring seismic data from the receivers to a recording system;

receiving a second message from the base stations, wherein the second message indicates a maximum number of receivers for which each of the base stations can transfer seismic data; and

assigning one of the base stations to each receiver without exceeding the maximum number.

2. The method of claim 1, wherein the first message comprises a link quality of the one or more base stations.

3. The method of claim 2, further comprising assigning the base stations to the receivers such that a sum of link qualities between all the receivers and their assigned base stations is maximized.

4. The method of claim 2, further comprising:

determining a link having a worst link quality of all links between the base stations and the receivers; and

assigning the base stations to the receivers such that the worst link quality is maximized.

5. The method of claim 1, further comprising:

identifying a base station that has been assigned to a highest number of receivers; and

assigning the base stations to the receivers such that a difference between the maximum number of receivers for the identified base station and the highest number is maximized.

6. The method of claim 1, further comprising:

receiving an indication that one of the base stations is unavailable; and

assigning one or more receivers having been assigned to the unavailable base station to a remainder of available base stations such that assignment changes to the available base stations are minimized.

7. The method of claim 1, further comprising:

positioning one or more additional seismic receivers over the survey area in the fixed pattern;

receiving an indication that the additional receivers are added to the network; and

assigning the base stations to the additional receivers such that assignment changes to the base stations are minimized.

8. The method of claim 1, wherein assigning the one of the base stations comprises:

formulating the assignment as a combinatorial optimization problem having a first constraint, a second constraint, and a first objective, wherein the first constraint comprises assigning the one of the base stations to each receiver, the second constraint comprises avoiding exceeding the maximum number for the one of the base stations, and the first objective comprises fulfilling the first constraint and the second constraint.

9. The method of claim 8, wherein the first objective is fulfilled by using one or more binary linear programming algorithms comprising constraints

10. The method of claim 3, wherein assigning the base stations comprises:

formulating the assignment as a combinatorial optimization problem having a first constraint, a second constraint, a first objective, and a second objective, wherein the first constraint comprises assigning the one of the base stations to each receiver, the second constraint comprises avoiding exceeding the maximum number for the one of the base stations, the first objective comprises fulfilling the first constraint and the second constraint, and the second objective comprises assigning the base stations to the receivers such that a sum of link qualities between all the receivers and their assigned base stations is maximized.

11. The method of claim 10, wherein the first objective and the second objective are fulfilled by using one or more binary linear programming algorithms comprising constraints

12. The method of claim 4, wherein assigning the base stations comprises:

formulating the assignment as a combinatorial optimization problem having a first constraint, a second constraint, a first objective, and a second objective, wherein the first constraint comprises assigning the one of the base stations to each receiver, the second constraint comprises avoiding exceeding the maximum number for the one of the base stations, the first objective comprises fulfilling the first constraint and the second constraint, and the second objective comprises assigning the base stations to the receivers such that the worst link quality is maximized.

13. The method of claim 12, wherein the first objective and the second objective are fulfilled by using one or more binary linear programming algorithms comprising constraints

14. The method of claim 5, wherein assigning the base stations comprises:

formulating the assignment as a combinatorial optimization problem having a first constraint, a second constraint, a first objective, and a second objective, wherein the first constraint comprises assigning the one of the base stations to each receiver, the second constraint comprises avoiding exceeding the maximum number for the one of the base stations, the first objective comprises fulfilling the first constraint and the second constraint, and the second objective comprises assigning the base stations to the receivers such that the difference between the maximum number for the identified base station and the number of receivers that the identified base station is assigned to is maximized.

15. The method of claim 14, wherein the first objective and the second objective are fulfilled by using one or more binary linear programming algorithms comprising constraints

16. The method of claim 6, wherein assigning the base stations comprises:

formulating the assignment as a combinatorial optimization problem having a first constraint, a second constraint, a first objective, and a second objective, wherein the first constraint comprises assigning the one of the base stations to each receiver, the second constraint comprises avoiding exceeding the maximum number for the one of the base stations, the first objective comprises fulfilling the first constraint and the second constraint, and the second objective comprises assigning one or more receivers having the unavailable base station assigned to a remainder of available base stations such that assignment changes to the available base stations are minimized.

17. The method of claim 16, wherein the first objective and the second objective are fulfilled by using one or more binary linear programming algorithms comprising constraints

18. The method of claim 7, wherein assigning the base stations comprises:

formulating the assignment as a combinatorial optimization problem having a first constraint, a second constraint, a first objective, and a second objective, wherein the first constraint comprises assigning the one of the base stations to each receiver, the second constraint comprises avoiding exceeding the maximum number for the one of the base stations, the first objective comprises fulfilling the first constraint and the second constraint, and the second objective comprises assigning the base stations such that assignment changes to the base stations are minimized.

19. The method of claim 18, wherein the first objective and the second objective are fulfilled by using one or more binary linear programming algorithms comprising constraints

20. A system for acquiring seismic data, comprising:

a plurality of seismic receivers;

one or more base stations; and

a configuration station, comprising;

a processor; and

a memory containing computer-executable instructions which when executed by the processor, cause the configuration station to;

receive a first message from the receivers, wherein the first message indicates one or more base stations that are available for transferring seismic data from the receivers to a recording system, and indicates a link quality of the base stations;

receive a second message from the base stations, wherein the second message indicates a maximum number of the receivers for which each of the base stations can transfer seismic data;

assign one of the base stations to each receiver without exceeding the maximum number; and

assign the base stations to the receivers such that a sum of link qualities between all the receivers and their assigned base stations is maximized;

wherein the base stations are assigned by formulating the assignment as a combinatorial optimization problem having a first constraint, a second constraint, a first objective, and a second objective, wherein the first constraint comprises assigning the one of the base stations to each receiver, the second constraint comprises avoiding exceeding the maximum number for the one of the base stations, the first objective comprises fulfilling the first constraint and the second constraint, and the second objective comprises assigning the receivers, and wherein the first objective and the second objective are fulfilled by using one or more binary linear programming algorithms comprising constraints

21. A method for assigning a base station to a receiver, comprising:

receiving one or more wireless signals from one or more base stations disposed in a fixed pattern over a seismic survey area;

determining one or more of the wireless signals that exceed a predetermined link quality threshold;

sending a first message to a configuration station, wherein the first message indicates the base stations corresponding to the one or more of the wireless signals that exceed the predetermined link quality threshold; and

receiving a second message from the configuration station indicating a selection of one of the base stations corresponding to the one or more of the wireless signals that exceed the predetermined link quality threshold.

22. The method of claim 21, further comprising sending seismic data only to the one of the base stations.