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Migration is a process to move the reflector to the right position. Inaccurate of the reflector position is caused by dipping reflectors and by the diffraction occured when seismic wave encounters the discontinuity. One of migration method is a Kirchhoff summation method. An advantage of this method...

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Bibliographic Details
Main Author: ARIE WIBOWO (NIM 124 02 022); Pembimbing : Afnimar, Ph.D, EKO
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/20060
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Migration is a process to move the reflector to the right position. Inaccurate of the reflector position is caused by dipping reflectors and by the diffraction occured when seismic wave encounters the discontinuity. One of migration method is a Kirchhoff summation method. An advantage of this method is its ability to resolve the steep structures but it needs long computation time. The summation of amplitude is done along the diffraction hyperbola. The hyperbola path is not always at the sampling point of the trace. Therefore, an interpolation technique is needed. Interpolation used in this study is a linear interpolation and a sinc interpolation. Then, a cosine tapering, weighting, summing and a 45 degree phase shift are applied. To overcome the long computing time, cluster PC with MPI ( Message Passing Interface) is used. The MPI application can access all PCs in the cluster, therefore we can divide the seismic data input to each CPU and the migration process is done simultaneously. <br /> <br /> <br /> <br /> The result shows that using the sinc interpolation is better then the linear interpolation, although the sinc one requires a long computation time. Applying the tapering can give a better result especially in the linear interpolation. Kirchhoff Migration using sinc interpolation and tapering gives a better result then the one obtained using ProMAX especially for shallow target which has a high frequency content. The amplitude spectrum of our result is appropriate well with the spectrum of input data. <br />