0.7. seismic processing

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  • 7/30/2019 0.7. Seismic Processing

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    Synthetic Seismogram School

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    Seismic Processing

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    Introduction

    If youre not achieving a good well tie it must be either your ...

    Well data

    This is something that you can check in OpenWorks.

    Seismic Data

    This takes a bit more of an investigation.

    Many times it is the result of noise!

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    Propagation

    The earth is much more complex then our simple RC model. As the diagram

    illustrates, various earth effects are captured in recording. Processing acts to suppress

    Most, but not all, of these effects. Those that remain can distort the final trace.

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    Convolution

    The mathematical representation for Convolution is given by:

    Seismict = n

    s=0 Wavelets.RC t-s

    With noise the equation becomes:

    Seismict = n

    s=0 RCs. Wavelet t-s + Noise

    It is the noise term that can seriously degrade the matchbetween your synthetic seismogram (generally noise-

    free) and the seismic signal.

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    Signal to Noise

    Gathers with varying signal to noise. The gather on the left is pure signal. The signal-

    to-noise is varied to the right from 3 to 0.2. Having gathers with good signal-to-noise iscritical to seismic studies. Gathers give valuable insight into the quality of amplitude

    information in stacks and angle stacks.

    Decreasing Signal to Noise

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    Coherent and Random

    Coherent Noise includes:

    Shot-generated noise such as ground roll

    Propeller noise

    Diffractions Cable Vibration

    etc.

    Random Noise includes:

    Culture such as traffic

    Weather such as rain or wind or lightning

    Wildlife

    etc.

    What Are the Types of Noise?

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    Pre-Stack Noise Example

    Processed Raw

    RMS 31 743

    Diffracted Multiple

    Multiples

    Random

    The gather on the right has some serious noise

    issues. The gather on the left is at the samelocation as the right, after processing for noise

    suppression.

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    Seismic Processing:Pre-Stack Example

    For a good seismic-to-synthetic ties, noise must be suppressed as much

    as possible! The benefit of suppressing noise is obvious below!

    Decreased noise with increased processing

    CDP Gathers

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    Seismic ProcessingPost-Stack Example

    A post-stack example of signal-to-noise enhancement. Obviously the section on

    the right is superior to that on the left. The improved data will provide a superior

    well tie.

    Increased post-stack processing

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    Compare gathers near well with synthetics.(enhance S/N if necessary)

    =

    -

    Final Contractor

    Gather

    After DSC P + PS

    Synthetic

    Excellent Tie

    Comparison of gather and synthetic

    Synthetic Corridor

    Stack

    Stack from Final Contractor CDP gathers

    Stack after FK/Radon and DSC

    Example from Norway

    Note the improved synthetic-to-seismic

    tie after suppression of noise.

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    The Effects of OverburdenAnisotropy and NMO on AVO

    With greater offsets, the effects of anisotropy increase. In the example below, NMO was used to move out the cdps.

    The anisotropic gather illustrates that it was insufficient and that higher-order moveout is required. If the amplitude is

    measured as a function of constant time (typical among contractors), two very different profiles are obtained. In addition,

    the phase change with offset is not identified on the anisotropic gather. Processed gathers should be reviewed for the

    effects of anisotropy or inappropriate moveout. Stacking the gathers would give a very different result.

    Soft

    Hard

    Soft

    Impedance

    - +

    Isotropic Anisotropic

    =0.3

    =0.05

    =0.3 =0.05

    = 0

    = 0

    Input

    Wavelet

    Offset Wider Offset

    Amplitude Profiles as a function of offset

    0.05

    0

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    Flat

    Spot

    Fourth order move out

    FS2

    Interval

    Example from Angola, Block 14, at the FS-2 well location: Inline 4806, Xline 3100. Mutes created using

    straight-ray approximation of 15 and 35 degree angle-of-incidence are displayed.

    15 35

    The Effects of Fourth-Order Moveouton the Stacked Section

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    Flat

    Spot

    Fourth order move out

    FS2

    Interval

    Example from Angola, Block 14 at the FS-2 well location: Inline 4806, Xline 3100. Gathers muted to

    include fourth-order moveout using a straight-ray approxim at ion for the angles. The fourth-order

    moveout is the result of anisotropy.

    Angle Muted Gathers

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    Flat

    Spot

    Fourth order move out

    FS2

    Interval

    Example from Angola, Block 14 FS-2 at the FS-2 Well location: Inline 4806, Xline 3100. Gathers

    muted to remove fourth-order moveout usin g a bent-ray estim ate for th e angles.

    Angle Muted Gathers

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    Example from Angola, Block 14 FS-2. Note the area within the white box and compare to that on the

    following slide. This product is superior for use in well ties.

    Flat Spot

    Frequency Spectrum of Stack

    Stack of Gathers without Fourth-Order Moveout

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    Example from Angola, Block 14 FS-2. Although the events look higher in amplitude, they are also

    lower in frequency. The effect of the fourth-order moveout is a smearing of the events. Although the

    image may look stronger, it is an inferior product for seismic-to-well ties.

    Flat Spot

    Frequency Spectrum

    Stack of Gathers with Fourth Order Moveout

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    Wavelet Extraction

    Angle mutes generated with curved rays from November 2002 velocity model.

    0-15 (Near) 25-35 (Far) 40-60 (VFO)

    Comparison of the extracted wavelets and angle-of-incidence-limited gathers at

    the FS-2 well location. The near and the far offset gathers, when stacked, willretain the embedded wavelet shape (zero phase). Because of residual moveout

    on the very-far offsets, the embedded wavelet is distorted.

    Zone

    of

    Extraction

    Gathers from G. Delorme

    Far

    Near

    Vfar

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    Summary

    Seismic data need to be properly conditioned for a goodwavelet tie.

    Coherent and random noise should be suppressed.

    Stack and pre-stack data should be carefully reviewed.

    Understand the l im i tat ions im posed by the seismic data!