WO2014185928A1 - Spectrum splitting - Google Patents

Spectrum splitting Download PDF

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Publication number
WO2014185928A1
WO2014185928A1 PCT/US2013/041527 US2013041527W WO2014185928A1 WO 2014185928 A1 WO2014185928 A1 WO 2014185928A1 US 2013041527 W US2013041527 W US 2013041527W WO 2014185928 A1 WO2014185928 A1 WO 2014185928A1
Authority
WO
WIPO (PCT)
Prior art keywords
frequencies
acquiring
low
frequency
spatial sampling
Prior art date
Application number
PCT/US2013/041527
Other languages
French (fr)
Inventor
Michael Anthony HALL
John Stewart ARCHER
Original Assignee
Geokinetics Acquisition Company
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Geokinetics Acquisition Company filed Critical Geokinetics Acquisition Company
Priority to PCT/US2013/041527 priority Critical patent/WO2014185928A1/en
Priority to MX2014010768A priority patent/MX2014010768A/en
Priority to BR112014021946A priority patent/BR112014021946A2/en
Priority to US14/383,561 priority patent/US20150112600A1/en
Priority to EP13753447.5A priority patent/EP2997400A1/en
Publication of WO2014185928A1 publication Critical patent/WO2014185928A1/en
Priority to US14/963,258 priority patent/US20160170055A1/en

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/003Seismic data acquisition in general, e.g. survey design

Definitions

  • Source and receiver intervals are typically chosen to ensure that the maximum expected frequencies are not aliased.
  • the present invention considers Vibroseis, dynamite, surface impulsive, TZ and OBC survey examples and shows that acquiring the data to meet the spatial sampling requirement for low, mid and high frequencies (by acquiring coarse, medium and fine acquisition grids respectively and layering these during processing) can result in reduced cost and/or higher quality surveys.
  • Sampling the wavefield spatially is one of the most important criteria for successful seismic imaging.
  • One of the parameters used in determining spatial sampling is the maximum frequency required from the data.
  • the spatial sampling grid could potentially be considerably coarser.
  • 25m linear surface sampling were deemed necessary for an upper frequency of, for instance, 80Hz in a particular survey
  • a 400m linear surface sampling would satisfy the same sampling criteria if the maximum desired frequency were to be 5Hz.
  • This is a ratio of 16: 1 for a 2D survey and 256: 1 for a 3D survey.
  • low frequencies may be acquired using considerably lower source and receiver densities, probably about 2 orders of magnitude lower for 3D surveys.
  • receiver line intervals are almost always much further apart than the interval required to properly sample the signal and the source intervals generally perform this function in the orthogonal direction.
  • the receiver line interval relates to the receiver interval along the line it may not be necessary to have a specific low frequency sensor on every receiver line. This could provide significant savings in the deployment of low frequency sensors should they be deemed to be desirable.
  • Vibroseis is the easiest source to which to apply the concept of the present invention, as the source frequency can be tailored on an individual basis to the requirements of the survey. For nonlimiting example, if the spatial sampling requirement of the highest expected frequencies is determined to require a VP interval of 20m, the mid-frequencies 40m, and the low frequencies 80m, then the sweeps could be tailored such that the high frequencies are swept every 20m, the mid frequencies and high frequencies are swept every second VP (40m), and the full sweep is performed (lows to highs) every fourth VP.
  • the benefit gained by not sweeping the entire frequency range at each VP can be translated into either a cost saving (by reducing the sweep time on some VPs), or an improvement in quality, by devoting more time in sweeping the higher frequencies.
  • the frequency spectrum generated by buried dynamite charges depends upon the depth of the charge below the surface, the size of the charge, and the Poisson's ratio of the formation around the charge.
  • Shallow pattern shots are typically less expensive to acquire than deep-hole dynamite yet they can be lacking in lower frequencies due to the smaller charge sizes employed, and have an effect of a surface ghost.
  • a fine grid of shallow pattern holes necessary to meet the high-frequency survey sampling requirements could be supplemented with a coarser grid of shot holes designed to generate more of the very low frequencies lacking in the shallow patterns.
  • the coarser grid comprising the low-frequency component of the signal does not need to be the same source type as the higher- frequency grid.
  • a surface impulsive source could be used to add low frequencies attenuated by the source ghost from buried charges.
  • the predominant seismic source is the airgun array.
  • the requirements for generating low frequency signals diverge from the requirements for the minimum and high frequencies, and could benefit from being separated into different acquisition grids.
  • the source array In order to generate a low frequency signal, the source array should be comprised of larger volume guns, or the guns should be discharged at a higher air pressure than standard.
  • the total array volume will need to be increased, or the working pressure will need to be raised.
  • the compressors will need to do significantly more work in order to supply an array tuned for low frequencies than that required for the mid and high frequencies. Again, as air supply is often the limiting factor, especially in shallow water surveys, acquiring the lower frequency components on a coarser grid will reduce the air supply requirement for the survey.
  • Another source for marine acquisition is the marine vibrator, and the bandwidth splitting concept can be applied.
  • the hardware used to acquire the low frequency component of certain marine vibrators is different from that required to produce the mid and high frequencies. In such cases the low frequency source could be acquired separately, and on a coarser grid than the high frequency assembly.

Abstract

Spatial sampling is a key factor in determining acquisition parameters for seismic surveys. Acquiring the data to meet spatial sampling requirements for low, mid and high frequencies, by acquiring coarse, medium and fine acquisition grids respectively and layering these during processing, can result in reduced cost and/or higher quality surveys.

Description

SPECTRUM SPLITTING
Background of the Invention
[0001] For seismic surveys, spatial sampling is one of the key factors used to determine the acquisition parameters. Source and receiver intervals are typically chosen to ensure that the maximum expected frequencies are not aliased. Surveys designed to avoid aliasing of the highest frequencies however end up oversampling the lower frequencies. Such oversampling is not typically problematic except when the effort to acquire the lower frequencies adds significantly to the cost or complexity of acquiring the survey.
Summary of the Invention
[0002] The present invention considers Vibroseis, dynamite, surface impulsive, TZ and OBC survey examples and shows that acquiring the data to meet the spatial sampling requirement for low, mid and high frequencies (by acquiring coarse, medium and fine acquisition grids respectively and layering these during processing) can result in reduced cost and/or higher quality surveys.
Detailed Description of Preferred Embodiments
Low Frequencies and Spatial Sampling
[0003] Sampling the wavefield spatially is one of the most important criteria for successful seismic imaging. One of the parameters used in determining spatial sampling is the maximum frequency required from the data. For sampling the lower frequencies, the spatial sampling grid could potentially be considerably coarser. For nonlimiting example, if 25m linear surface sampling were deemed necessary for an upper frequency of, for instance, 80Hz in a particular survey, then a 400m linear surface sampling would satisfy the same sampling criteria if the maximum desired frequency were to be 5Hz. This is a ratio of 16: 1 for a 2D survey and 256: 1 for a 3D survey. Especially in 3D, low frequencies may be acquired using considerably lower source and receiver densities, probably about 2 orders of magnitude lower for 3D surveys. In practice, receiver line intervals are almost always much further apart than the interval required to properly sample the signal and the source intervals generally perform this function in the orthogonal direction. Depending on how the receiver line interval relates to the receiver interval along the line it may not be necessary to have a specific low frequency sensor on every receiver line. This could provide significant savings in the deployment of low frequency sensors should they be deemed to be desirable.
Vibroseis
[0004] Vibroseis is the easiest source to which to apply the concept of the present invention, as the source frequency can be tailored on an individual basis to the requirements of the survey. For nonlimiting example, if the spatial sampling requirement of the highest expected frequencies is determined to require a VP interval of 20m, the mid-frequencies 40m, and the low frequencies 80m, then the sweeps could be tailored such that the high frequencies are swept every 20m, the mid frequencies and high frequencies are swept every second VP (40m), and the full sweep is performed (lows to highs) every fourth VP. The benefit gained by not sweeping the entire frequency range at each VP can be translated into either a cost saving (by reducing the sweep time on some VPs), or an improvement in quality, by devoting more time in sweeping the higher frequencies.
[0005] Generating very low frequencies from Vibroseis has an additional associated cost; all current methods incur extra sweep time in order to generate reasonable input energy below 5Hz.
Dynamite Acquisition
[0006] The frequency spectrum generated by buried dynamite charges depends upon the depth of the charge below the surface, the size of the charge, and the Poisson's ratio of the formation around the charge. Shallow pattern shots are typically less expensive to acquire than deep-hole dynamite yet they can be lacking in lower frequencies due to the smaller charge sizes employed, and have an effect of a surface ghost. In this concept, a fine grid of shallow pattern holes necessary to meet the high-frequency survey sampling requirements could be supplemented with a coarser grid of shot holes designed to generate more of the very low frequencies lacking in the shallow patterns.
Hybrid Acquisition
[0007] The coarser grid comprising the low-frequency component of the signal does not need to be the same source type as the higher- frequency grid. A surface impulsive source could be used to add low frequencies attenuated by the source ghost from buried charges.
OBC/TZ Acquisition
[0008] In the shallow marine zone, the predominant seismic source is the airgun array. The requirements for generating low frequency signals diverge from the requirements for the minimum and high frequencies, and could benefit from being separated into different acquisition grids. In order to generate a low frequency signal, the source array should be comprised of larger volume guns, or the guns should be discharged at a higher air pressure than standard. However, in order to maintain the same peak output as an array with smaller guns, either the total array volume will need to be increased, or the working pressure will need to be raised. Either way, the compressors will need to do significantly more work in order to supply an array tuned for low frequencies than that required for the mid and high frequencies. Again, as air supply is often the limiting factor, especially in shallow water surveys, acquiring the lower frequency components on a coarser grid will reduce the air supply requirement for the survey.
[0009] Another source for marine acquisition is the marine vibrator, and the bandwidth splitting concept can be applied. The hardware used to acquire the low frequency component of certain marine vibrators is different from that required to produce the mid and high frequencies. In such cases the low frequency source could be acquired separately, and on a coarser grid than the high frequency assembly.
[0010] It should be feasible to acquire data from low frequency sensors on a similarly spaced grid, thus enabling higher sensitivity sensors to be used economically.
[0011] The above approach would yield data on a coarser grid than the conventional acquisition grid but it should be feasible to interpolate this data back onto the same grid, as the sampling requirement for this lower frequency data is satisfied by the coarser grid.
[0012] The foregoing description of the invention is intended to be a description of preferred embodiments. Various changes in the details of the described methods can be made without departing from the intended scope of this invention.

Claims

What is claimed is:
A method for conducting a seismic survey comprising acquiring seismic data meeting the spatial sampling requirement for low, mid and high frequencies by acquiring coarse, medium and fine acquisition grids and layering the grids during processing.
PCT/US2013/041527 2012-03-08 2013-05-17 Spectrum splitting WO2014185928A1 (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
PCT/US2013/041527 WO2014185928A1 (en) 2013-05-17 2013-05-17 Spectrum splitting
MX2014010768A MX2014010768A (en) 2013-05-17 2013-05-17 Spectrum splitting.
BR112014021946A BR112014021946A2 (en) 2012-03-08 2013-05-17 spectrum division
US14/383,561 US20150112600A1 (en) 2012-03-08 2013-05-17 Spectrum Splitting
EP13753447.5A EP2997400A1 (en) 2013-05-17 2013-05-17 Spectrum splitting
US14/963,258 US20160170055A1 (en) 2012-03-08 2015-12-09 Spectrum Splitting

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2013/041527 WO2014185928A1 (en) 2013-05-17 2013-05-17 Spectrum splitting

Related Child Applications (2)

Application Number Title Priority Date Filing Date
US14/383,561 A-371-Of-International US20150112600A1 (en) 2012-03-08 2013-05-17 Spectrum Splitting
US14/963,258 Continuation US20160170055A1 (en) 2012-03-08 2015-12-09 Spectrum Splitting

Publications (1)

Publication Number Publication Date
WO2014185928A1 true WO2014185928A1 (en) 2014-11-20

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2013/041527 WO2014185928A1 (en) 2012-03-08 2013-05-17 Spectrum splitting

Country Status (3)

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EP (1) EP2997400A1 (en)
MX (1) MX2014010768A (en)
WO (1) WO2014185928A1 (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080151688A1 (en) * 2006-12-21 2008-06-26 Nicolas Goujon Removing Noise from Seismic Data Obtained from Towed Seismic Sensors
US20110305106A1 (en) * 2010-06-09 2011-12-15 Conocophillips Company Marine seismic data acquisition using designed non-uniform streamer spacing

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080151688A1 (en) * 2006-12-21 2008-06-26 Nicolas Goujon Removing Noise from Seismic Data Obtained from Towed Seismic Sensors
US20110305106A1 (en) * 2010-06-09 2011-12-15 Conocophillips Company Marine seismic data acquisition using designed non-uniform streamer spacing

Also Published As

Publication number Publication date
EP2997400A1 (en) 2016-03-23
MX2014010768A (en) 2015-10-12

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