Methods and systems for computing notional source signatures from near-field measurements and modeled notional signatures

Patent metadata

Field	Value
Publication number	US-10241218-B2
Application number	US-201213483327-A
Country	US
Kind code	B2
Filing date	May 30, 2012
Priority date	May 30, 2012
Publication date	Mar 26, 2019
Grant date	Mar 26, 2019

Abstract

Methods and systems for computing notional source signatures from modeled notional signatures and measured near-field signatures are described. Modeled near-field signatures are calculated from the modeled notional signatures. Low weights are assigned to parts of a source pressure wavefield spectrum where signatures are less reliable and higher weights are assigned to parts of the source pressure wavefield spectrum where signatures are more reliable. The part of the spectrum where both sets of signatures are reliable can be used for quality control and for comparing the measured near-field signatures to modeled near-field signatures. When there are uncertainties in the input parameters to the modeling, the input parameters can be scaled to minimize the differences between measured and modeled near-field signatures. Resultant near-field signatures are computed by a weighted summation of the modeled and measured near-field signatures, and notional source signatures are calculated from the resultant near-field signatures.

First claim

The invention claimed is:

1. In a process for generating an image of a subterranean formation using marine seismic techniques in which a source is activated above the subterranean formation and the reflections from the subterranean formation are recorded as seismic data generated by receivers and a near-field signature of each pressure wave generated by a source element of the source is captured in a recording generated by a pressure sensor located within a near field of each source element, the specific improvement comprising:
generating a modeled near-field signature for each source element, wherein the modeled near-field signature of a source element is a combination of modeled notional source signatures of each source element;
combining a low-frequency portion of the recorded near-field signature with a high-frequency portion of the modeled near-field signature of each source element to generate a new recording corresponding to a new near-field signature of each source element, wherein the new near-field signature of each source element avoids an unreliable high-frequency portion of the recorded near-field signature and an unreliable low-frequency portion of the modeled near-field signature;
computing notional source signatures of the source elements using the new near-field signatures, each notional source signature characterizing an isolated pressure wave generated by a source element without effects of pressure waves generated by other source elements and without free surface reflections;
determining a source pressure wavefield from the notional source signatures; and
generating an image of the subterranean formation based on the source pressure wavefield and the seismic data.

2. The process of claim 1 , wherein the source elements are air guns selected with chamber volumes, air gun spacings, and positions within in the source to dampen bubble oscillations of the pressure wave generated by each of the source elements.

3. The process of claim 1 , wherein the number of source elements equals the number of pressure sensors.

4. The process of claim 1 , further comprising:
comparing the modeled near-field signature to the recorded near-field signature in a frequency domain using spectral coherence to determine a range of frequencies over which the recorded near-field signature and the modeled near-field signature are in agreement; and
scaling the recorded near-field signature to the modeled near-field signature using the modeled and recorded near-field signatures over the range of frequencies, when calibration of pressure sensors of the acoustic source are unknown.

5. The process of claim 1 , comprising:
comparing the modeled near-field signature to the recorded near-field signature in a frequency domain using spectral coherence to determine a range of frequencies over which the recorded near-field signature and the modeled near-field signature are in agreement;
converting the measured near-field signatures to a pressure unit; and
scaling the modeled near-field signature to the recorded near-field signature using the modeled and recorded near-field signatures over the range of frequencies, when calibration of pressure sensors of the acoustic source are known.

6. The process of claim 1 , comprising:
transforming the modeled near-field signature from a time domain to a frequency domain; and
transforming the recorded near-field signature from the time domain to the frequency domain.

7. The process of claim 1 , wherein combining the low-frequency portion of the recorded near-field signature with the high-frequency portion of the modeled near-field signature of each source element comprises combining the low-frequency portion of the recorded near-field signature with the high-frequency portion of the modeled near-field signature of each source element in a frequency domain.

8. The process of claim 1 , wherein combining the low-frequency portion of the recorded near-field signature with the high-frequency portion of the modeled near-field signature of each source element comprises summing the recorded near-field signature multiplied by a first weight function and a scale factor with the modeled near-field signature multiplied by a second weight function, the first weight function greater than the second weight function for small frequencies and the first weight function less than the second weight function for large frequencies.

9. The process of claim 1 , wherein computing the notional source signatures of each of the source elements using the new near-field signatures of the source elements comprises transforming the new near-field signatures from a frequency domain to a time domain.

10. A computer system for computing an image of a subterranean formation from recorded seismic data collected in a marine seismic survey of the subterranean formation, the system comprising:
one or more processors;
one or more data-storage devices; and
machine-readable instructions stored in the one or more data-storage devices that when executed using the one or more processors controls the system to carry out
generating a modeled near-field signature for each source element of a source activated above the subterranean formation in a body of water, wherein the modeled near-field signature of each source element is a combination of modeled notional source signatures of each source element;
combining a low-frequency portion of the recorded near-field signature with a high-frequency portion of the modeled near-field signature of each source element to generate a new recording corresponding to a new near-field signature of each source element;
computing notional source signatures of the source elements using the new near-field signatures, each notional source signature characterizing an isolated pressure wave generated by a source element without effects of pressure waves generated by other source elements and without free surface reflections;
determining a source pressure wavefield from the notional source signatures; and
generating an image of the subterranean formation based on the source pressure wavefield and seismic data generated by receivers that detect reflections from the subterranean formation in response to activation of the source.

11. The system of claim 10 , wherein the source elements are air guns selected with chamber volumes, air gun spacings, and positions within in the source to dampen bubble oscillations of the pressure wave generated by each of the source elements.

12. The system of claim 10 , wherein the number of source elements equals the number of pressure sensors.

13. The system of claim 10 , further comprising:
comparing the modeled near-field signature to the recorded near-field signature in a frequency domain using spectral coherence to determine a range of frequencies over which the recorded near-field signature and the modeled near-field signature are in agreement; and
scaling the recorded near-field signature to the modeled near-field signature using the modeled and recorded near-field signatures over the range of frequencies, when calibration of pressure sensors of the acoustic source are unknown.

14. The system of claim 10 , comprising:
comparing the modeled near-field signature to the recorded near-field signature in a frequency domain using spectral coherence to determine a range of frequencies over which the recorded near-field signature and the modeled near-field signature are in agreement;
converting the measured near-field signatures to a pressure unit; and
scaling the modeled near-field signature to the recorded near-field signature using the modeled and recorded near-field signatures over the ran

Assignees

• Hegna Stian
• Julliard Fabien
• Pgs Geophysical As

Inventors

• Hegna Stian
• Julliard Fabien

Classifications

• G01V2210/50

  Corrections or adjustments related to wave propagation · CPC title

• G01V1/13 Primary

  Arrangements or disposition of charges to produce a desired pattern in space or time · CPC title

• G01V1/006

  generating single signals by using more than one generator, e.g. beam steering or focusing arrays (G01V1/13, G01V1/3861 take precedence) · CPC title

• G01V1/38 Primary

  specially adapted for water-covered areas (G01V1/28 takes precedence) · CPC title