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Basis Pursuit Inversion (BPI) is aim to give a better inversion result in resolving thin layers. BPI is based on sparse-layer concept , which assume that subsurface is consists of sparse layer with various depth, and every layers can be explained as sum of odd and even reflection pair with correspon...
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| 主要作者: | |
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| 格式: | Final Project |
| 語言: | Indonesia |
| 在線閱讀: | https://digilib.itb.ac.id/gdl/view/20049 |
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| 機構: | Institut Teknologi Bandung |
| 語言: | Indonesia |
| 總結: | Basis Pursuit Inversion (BPI) is aim to give a better inversion result in resolving thin layers. BPI is based on sparse-layer concept , which assume that subsurface is consists of sparse layer with various depth, and every layers can be explained as sum of odd and even reflection pair with corresponding amplitude to the constrast impedance. In sparse layer concept, seismic trace considered as a result of convolution between wavelet and dipole reflectivities. If the right wavelet is known, the basis pursuit inversion is a process of determining the coefficient from reflectivity pairs which will reconstruct the correct seismic trace. <br />
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The implementation of BPI done by build a wedge dictionary matrix that filled by some dipole reflectivity pairs with varying range of thickness from minimum sample rate to maximum tunning thickness. Convolution between matrix and a wavelet will produce an overcompleted kernel matrix that will be used as basis in reconstructing seismic trace. Problem of matrix inversion that under-determined can be solved by using basis pursuit. <br />
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In this research, BPI method is applied to do the Vp/Vs ratio inversion with Extended Elastic Impedance (EEI) approach. This method gives subsurface structure detection be more detail, because the seismic data that will be inversed is a response of elastic parameter which sensitive in determining reservoir rocks. |
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