Gpr Processing Data

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    Ground Penetrating Radar (GPR) Data Processing

    Ground Penetrating Radar (GPR) is now used extensively for a variety of applications in

    many differing fields. Ground penetrating radar (GPR) has gained popularity as a shallow

    subsurface, geophysical imaging tool due to its ease of use and portability for recording high

    resolution sections. GPR has a range of applications in archaeology, engineering, and the earthsciences such as delineating the water table depth, fro!en"unfro!en interfaces, mapping soil

    stratigraphy, subsurface bedroc# topography, peat deposits, geological structure, and locating

    buried pipes, cables$. GPR is a techni%ue that transmits pulsed electromagnetic waves (&' "

    &''' !) which can be refracted and*or reflected off subsurface features, received, and

    recorded digitally in a manner similar to seismic surveying techni%ues. owever, many of the

    problems affecting seismic signals also affect GPR. +herefore, assuming electromagnetic

    waves propagate analogously to elastic energy, seismic data processing techni%ues are for 

    GPR. +his is a reasonable assumption for propagating radar wave traveltimesere are steps of 

    GPR data processing

    &. Data -diting (Raw Data)

    nce data are recorded, the first step in processing is data editing. Data editing

    encompasses issues such as data organi!ation, data file merging, data header or bac#ground

    information updates, repositioning and inclusion of elevation information with the data.

    /. 0ignal 0aturation

    1ecause of the large energy input from the airwave, groundwave, and near surface

    reflectors, the GPR receiver becomes signal saturated and unable to ad2ust fast enough to the

    large variations between vertical stac#s. +his induces a low fre%uency, slowly decaying wow

    on the higher fre%uencies of the signal trace arrivals, ma#ing arrivals on the shaded wiggle

    traces tough to distinguish. D3 signal saturation is constant across each trace and can becorrected for by a bul# D3 offset shift in amplitude towards !ero. +he final correction is an

    optimal low " cut filter.

    4. Gain Recovery

    Due to geometrical spreading of transmitted wavefields, later arrivals on a signal trace

    show noticeably lower amplitudes than earlier arrivals. +o recover relative amplitude information,

    a time " variant, trace e%uali!ation function such as spherical divergence or automatic gain

    control (5G3) is applied.

    6. 0pi#ing Deconvolution

    0pi#ing wavelet deconvolution (6' ns operator window and &7prewhitening) vs !ero"

    phase deconvolution was found, by trial and error, to best enhance the resolution of the data

    when followed by a bandpass filter. Predictive deconvolution was also attempted but failed to

    remove the primary multiple at "89'ns.

    9. 1andpass :ilter 

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     5mplitude spectra were plotted by for each trace and summed to determine the signal

    fre%uency bands of the 9' ! (;illiam9 ! was observed. +he fre%uency bands chosen for 

    filtering were /'*4' " >'*&'' and /'*4' " &''*&/9 ! for the 9' and &'' ! transmitter bandpass filters respectively.

    ?. @elocity 5nalysis

     5 common midpoint (3P) gather was a%uired by Aol and 0mith (&==&) at ;illiam. Dielectric 3onstants

     5nalogous to acoustic impedance in seismic, dielectric constants (B) determine the

    reflection coefficients for GPR signal reflections. +hus, assuming a low"loss geological

    environment, the dielectric is related to electromagnetic velocity (@).

    8. -levation 3orrection

    :lattening a GPR profile based on the airwave does not account for near surface

    elevation and velocity static effects. +herefore, elevation and velocity static corrections shouldbe performed to obtain more realistic subsurface images. GPR systems measure the travel time

    of radar waves off subsurface reflectors relative to their position. 5ssuming a constant radar 

    velocity of '.'> m*ns, the elevation correction for a topographic low.

    =. 0tatic 3orrection

    @elocity static shifts occur when the near surface has significantly different radar 

    velocities than underlying units. +he velocity push down effect appears to be greater further 

    down in the section for each static. 0ince no elevation surveys were made for this profile, the

    statics were water " table flattened as an attempt to correct the statics. +his is attributed to a

    significant velocity conu

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    +herefore, this appears to be a case of a velocity static caused by a high velocity surface layer.

    +hese velocity static corrections should be performed before normal moveout () because it

    is mathematically simpler. +he earlier attempt to resolve the static was done by flattening the

    water table reflection.

    &'. ormal oveoutPerformed to account for the /m transmitter * receiver separation using the semblance

    velocities pic#ed earlier, so traces approximate !ero"offset rays.

    &&. igration

    Relocates reflections to their true spatial position based on the velocity spectrum to

    produce a real structure map of subsurface features. +he ;illiam