Seismic surveying is used for identifying subterranean elements, such as hydrocarbon reservoirs, freshwater aquifers, gas injection zones, and so forth. In seismic surveying, seismic sources are placed at various locations on a land surface or sea floor, with the seismic sources activated to generate seismic waves directed into a subterranean structure.
The seismic waves generated by a seismic source travel into the subterranean structure, with a portion of the seismic waves reflected back to the surface for receipt by seismic receivers (e.g., geophones, accelerometers, etc.). These seismic receivers produce signals that represent detected seismic waves. Signals from seismic receivers are processed to yield information about the content and characteristic of the subterranean structure.
Noise may interfere with accurate measurement of seismic waves reflected from the subterranean structure. Various techniques have been developed to reduce the effect of noise in seismic survey operations. Many of such techniques involve either complex arrangements of seismic receivers, or usage of relatively complex processing algorithms to remove the effects of noise, which can increase the cost associated with performing seismic surveys.
In general, according to an embodiment, a sensor assembly having improved characteristics for use in surveying a subterranean structure includes a divergence sensor for positioning at or below a ground surface, where the divergence sensor includes a container containing a material and a pressure sensor immersed in the material. In addition, the sensor assembly includes a single-component seismic sensor that is external to the container of the divergence sensor.
Other or alternative features will become apparent from the following description, from the drawings, and from the claims.
In the following description, numerous details are set forth to provide an understanding of the present invention. However, it will be understood by those skilled in the art that the present invention may be practiced without these details and that numerous variations or modifications from the described embodiments are possible.
The sensor assemblies 100 are coupled over an electrical cable 104 to a controller 106, which includes a processor 108 and a storage medium 110 for storing data received from the sensor assemblies 100. In an alternative embodiment, instead of using the cable 104, radio communications or other types of wireless communications can be performed between the sensor assemblies 100 and the controller 106. Although not shown in
As shown in
In some embodiments, the seismic sensor 112 is a vertical component seismic sensor for measuring seismic waves in the vertical direction (represented by axis z in
The divergence sensor 114 that is also part of the sensor assembly 100 is used for measuring an input different from the seismic waves propagated through the subterranean structure 115 that are measured by the seismic sensor 112. One example of such an input is noise, such as horizontally propagating noise along the ground surface 117 (referred to as “ground-roll noise”). Ground-roll noise can be the result of horizontally traveling seismic waves from seismic sources that are propagated to the sensor assemblies 100 along the ground surface 117. Examples of ground-roll noise include Rayleigh waves, Love waves, or other types of signals.
Other types of noise include flexural waves present in data acquired over frozen surfaces such as a body of water or permafrost; and airborne noise caused by the environment such as due to wind, rain, or human activity such as traffic, air blasts, flare noise or other industrial processes.
The divergence sensor 114 has a closed container 116 that is sealed. The container 116 contains a volume of liquid 118 (or other material such as a gel, a solid such as plastic or sand, and so forth) inside the container 116. Moreover, the container 116 contains a pressure sensor 120 (e.g., a hydrophone) that is immersed in the liquid 118 (or other material). The pressure sensor 120 being immersed in the material 118 means that the pressure sensor 120 is surrounded by or otherwise attached to or in contact with the material 118. In the ensuing discussion, reference is made to the hydrophone 120 that is immersed in the liquid 118—note that in alternative embodiments, other types of pressure sensors 120 can be immersed in other types of material 118.
The hydrophone 120, which is neutrally buoyantly immersed in the liquid 118, is mechanically decoupled from the walls of the container 116. As a result, the hydrophone 120 is sensitive to just acoustic waves that are induced into the liquid 118 through the walls of the container 116. To maintain a fixed position, the hydrophone 120 is attached by a coupling mechanism 122 that dampens propagation of acoustic waves through the coupling mechanism 122. Examples of such a coupling mechanism 122 include elastic bands or a suitable arrangement of springs and/or dashpots, for example.
Examples of the liquid 118 include the following: kerosene, mineral oil, vegetable oil, silicone oil, and water. In other embodiments, other types of liquids can be employed. As yet another example, instead of a liquid, the hydrophone 120 is immersed in another type of material, such as gel, or a solid such as a plastic or sand. In one example, a liquid with a higher viscosity can be used to change the sensitivity to different types of waves, including P (compression) waves, S (shear) waves, Rayleigh waves, and Love waves. Moreover, the amount of liquid 118 provided in the container 116 of the divergence sensor 114 determines the sensitivity of the hydrophone 120. A container 116 that is only partially filled with liquid records a weaker signal.
As further shown in
As depicted in
In embodiments that employ the cable 104, power is provided from a remote power supply (such as a power supply located at the controller 106) through the cable 104 to the sensor assemblies 100. In embodiments that employ wireless communications and that do not use the cable 104, the sensor assembly 100 can be provided with batteries to provide local power.
Although
Moreover, as shown in
Providing different stiffness will vary the directional sensitivity of the divergence sensor. This can be used to attenuate certain parts of the wavefields that are received by the sensor assembly 100. Making a particular side more stiff means that the divergence sensor would be more sensitive to a wavefield propagating in a direction that is generally perpendicular to the particular side.
Alternatively, as shown in
As shown in
The sensor assemblies are then connected (at 1004) to the controller 106. The connection may be accomplished by using the electrical cable 104, or by using wireless communications.
Next, seismic operation begins (at 1006), in which a seismic source, such as a vibrator or explosive, is activated to induce seismic waves into the subterranean structure 115 (
The processor 108 in the controller 106 then performs processing based on the received data. For example, the processor 108 can remove noise effects by using the data from the divergence sensors 114, such that noise components are removed from the signals acquired by the seismic sensors 112.
While the invention has been disclosed with respect to a limited number of embodiments, those skilled in the art, having the benefit of this disclosure, will appreciate numerous modifications and variations therefrom. It is intended that the appended claims cover such modifications and variations as fall within the true spirit and scope of the invention.
Number | Name | Date | Kind |
---|---|---|---|
3722751 | Bisciglia | Mar 1973 | A |
3934218 | Babb | Jan 1976 | A |
4134097 | Cowles | Jan 1979 | A |
4163206 | Hall, Jr. | Jul 1979 | A |
4334296 | Hall, Jr. | Jun 1982 | A |
4520467 | Berni | May 1985 | A |
4554648 | Greer | Nov 1985 | A |
4558439 | Gudesen | Dec 1985 | A |
4599713 | Rudaz | Jul 1986 | A |
4890264 | Crews et al. | Dec 1989 | A |
4979150 | Barr | Dec 1990 | A |
4996675 | Beauducel | Feb 1991 | A |
5555530 | Meehan | Sep 1996 | A |
5621699 | Rigsby et al. | Apr 1997 | A |
5648938 | Jakubowicz | Jul 1997 | A |
5757720 | Soubaras | May 1998 | A |
6314371 | Monk | Nov 2001 | B1 |
6330512 | Thomas et al. | Dec 2001 | B1 |
6381544 | Sallas et al. | Apr 2002 | B1 |
6442304 | Crawley et al. | Aug 2002 | B1 |
6446009 | Baeten | Sep 2002 | B1 |
6584038 | Meunier | Jun 2003 | B2 |
6607050 | He et al. | Aug 2003 | B2 |
6894948 | Brittan et al. | May 2005 | B2 |
6932185 | Bary et al. | Aug 2005 | B2 |
6961283 | Kappius et al. | Nov 2005 | B2 |
7082079 | Woo | Jul 2006 | B2 |
7142481 | Metzbower et al. | Nov 2006 | B1 |
7286938 | Amundsen et al. | Oct 2007 | B2 |
7551517 | Berg et al. | Jun 2009 | B2 |
7916576 | Beasley | Mar 2011 | B2 |
8520469 | Ronnow et al. | Aug 2013 | B2 |
8712694 | Edme et al. | Apr 2014 | B2 |
20070104028 | Manen et al. | May 2007 | A1 |
20080225641 | Manen et al. | Sep 2008 | A1 |
20090052277 | Swanson | Feb 2009 | A1 |
20100100330 | Burkholder | Apr 2010 | A1 |
20100265797 | Robertsson et al. | Oct 2010 | A1 |
20100286922 | Poletto | Nov 2010 | A1 |
20110082646 | Halliday | Apr 2011 | A1 |
20110082647 | Edme et al. | Apr 2011 | A1 |
20110085417 | Ronnow et al. | Apr 2011 | A1 |
20110141849 | Brittan | Jun 2011 | A1 |
20120081999 | Halliday et al. | Apr 2012 | A1 |
Number | Date | Country |
---|---|---|
0736781 | Oct 1996 | EP |
1454169 | Oct 1996 | EP |
1257849 | Jan 2009 | EP |
2738642 | Mar 1997 | FR |
1256304 | Dec 1971 | GB |
2456313 | Jul 2009 | GB |
03036331 | May 2003 | WO |
2005017563 | Feb 2005 | WO |
Entry |
---|
PCT Search Report, dated Apr. 28, 2011, Application No. PCT/US2010/051368. |
Barr, et al., Attenuation of Water-Column Reverberations Using Pressure and Velocity Detectors in a Water-Bottom Cable, SEG Annual International , 1989. |
Barr, Dual-Sensor OBC Technology, The Leading Edge, Jan. 1997, pp. 45-51, vol. 16. |
De Meersman, et al., A Complex SVD-Polarization Filter for Ground Roll Attenuation on Multi-Component Data, EAGE 67th Conference and Exhibition, Jun. 13-16, 2005. |
Edme, et al., Receiver Function Method in Reflection Seismology, Geophysical Prospecting, 2008, pp. 327-340, vol. 56. |
Edme, et al., Receiver Function Decomposition of OBC Data:Theory, Geophysical Journal International, 2009, pp. 966-977, vol. 177. |
Karsli, et al. Using the Wiener-Levison Algorithm to Supress Ground Roll, Journal of Applied Geophysics, 2004, pp. 187-197, vol. 55. |
Kragh, et al., Ground Roll and Polarization, First Break, Sep. 1995, pp. 369-378, vol. 13, No. 9. |
Robertsson, et al., Wavefield Separation using Densely Deployed Three-Component Single-Sensor Groups in Land Surface-Seismic Recordings, Geophysics, Sep.-Oct. 2002, pp. 1624-1633, vol. 67, No. 5. |
Drijkoningen, Design of Seismic Network in LOFAR: Testing at Exloo Test-Site, Jul. 2007. |
Drijkoningen, Project Plan of the Seismic Application in LOFAR, Sep. 2007. |
Van Dalen, et al., Characterization of Subsurface Parameter with Combined Fluid-Pressure and Particle-Velocity Measurements, EAGE, 2008. |
Sensor Geophones, ION Geophysical, http://www.iongeo.com/Land—Imaging/Geophones, web-site, 2009. |
Digital Sensors, ION Geophysical, http://www.iongeo.com/Land—Imaging/Digital—Sensors, web-site, 2009. |
U.S. Appl. No. 12/573,266, Final Rejection dated Mar. 27, 2012, pp. 1-24 and attachment. |
U.S. Appl. No. 12/573,266, Office Action dated Nov. 21, 2011, pp. 1-17 and attachment. |
Criss, “Another look at full-wave seismic imaging,” First Break, vol. 25, Jun. 2007 (8 pages). |
Greensted, “The Lab Book Pages: Delay Sum Beamforming,” Oct. 2012, The Lab Book Pages, pp. 1-7, http://www.labbookpages.co.uk/audio/beamforming/delaySum.html. |
U.S. Appl. No. 12/573,266, Non-Final Rejection dated Apr. 25, 2013, pp. 1-20 and attachment. |
U.S. Appl. No. 12/720,188, Notice of Allowance dated Apr. 24, 2013, pp. 1-6 and attachments. |
U.S. Appl. No. 12/757,103, Notice of Allowance dated Apr. 26, 2013, pp. 1-3 and attachments. |
Curtis et al., “Seismic interferometry-turning noise into signal”, Sep. 2006, The Leading Edge, pp. 1082-1092 http://library.seg.org/doi/pdf/1 0.1190/1.2349814. |
Snieder et al., “Extracting the Green's function of attenuating heterogeneous acoustic media from uncorrelated waves”, May 2007, J. Acoust. Soc. Am. 121 (5), pp. 2637-2643, http://inside.mines.edu/-rsnieder/Interf—atten07.pdf. |
Halliday et al., “Interferometric surface-wave isolation and removal”, Sep.-Oct. 2007, Geophysics, vol. 72, No. 5, pp. A69-A73. |
International Search Report and Written Opinion for PCT Application No. PCT/US2010/051367 (57-0926-PCT) dated Apr. 28, 2011: pp. 1-8. |
International Search Report and Written Opinion for PCT Application No. PCT/US2011/060328 (570949WO) dated Jun. 11, 2012: pp. 1-8. |
Curtis et al., “Seismic interferometry—turning noise into signal,” The Leading Edge, Sep. 2006: pp. 1082-1092. |
Dey et al., “Noise suppression on geophone data using microphone measurements,” CREWES Research Report, 2000, vol. 12: pp. 1-12, <http://www.crews.org/ForOurSponsors/ResearchReports/2000/2000-08.pdf>. |
Halliday et al., “Interferometric surface-wave isolation and removal,” Geophysics, Sep.-Oct. 2007, vol. 72 (5): pp. A69-A73. |
Snieder, “Extracting the Green's function of attenuating heterogeneous acoustic media from uncorrelated waves,” J. Acoust. Soc. Am., May 2007, vol. 121(5): pp. 2637-2643. |
Snieder et al., “Cancellation of spurious arrivals in Green's function extraction and the generalized optical theorem,” Physical Review E, 2008, vol. 78: pp. 036606-1-036606-8. |
Office Actions of File History of U.S. Appl. No. 12/573,266, dated Dec. 9, 2013, Oct. 1, 2013, and Jul. 15, 2013 (51 pages). |
U.S. Appl. No. 12/573,266, Non-Final Office Action dated Oct. 11, 2012, pp. 1-19 and attachments. |
Lawton et al., “Field tests of 3-component geophones, Part II,” Crewes, 1991: pp. 1-27, <http://www.crewes.org/ForOurSponsors/Research Reports/1991/1991-01.pdf>. |
Number | Date | Country | |
---|---|---|---|
20110080808 A1 | Apr 2011 | US |