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Seismic data acquisition is one of seismik survey method. In this acquisition we want to collecting data from the survei area, and the data should be in good quality. Seismic data acquisition should be study first to get the effective and efficient execution. But, it is still have some problems, one...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/19905 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Seismic data acquisition is one of seismik survey method. In this acquisition we want to collecting data from the survei area, and the data should be in good quality. Seismic data acquisition should be study first to get the effective and efficient execution. But, it is still have some problems, one of which is data missing trace that lose some seismic traces so the seismik gather is inadequate or incomplete. <br />
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The problem can be solved using seismic trace interpolation method. Seismic trace interpolation is expand using Minimum Weighted Norm Interpolation (MWNI) which is give the weighting of spectral energi in wavenumber domain. And then, weighted data is solved using conjugate gradient iterations. The solution is model parameters that approach the incomplete seismic data observation. <br />
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The performance of the algorithm is working to interpolating missing trace that tested with data synthetic and land raw data. The residual data result for synthetic data interpolation is so small. In addition, the residual result shown 21%. Whereas, the interpolation result for raw data is bring in some noise. This is occurs because the raw data had a small SNR. So the noisy data is also interpolated. |
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