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| | 講演要旨(英文) | | We develop a simple method to invert induced polarization (IP) data, which is composed of a two-step process. In the first step, DC resistivity data are inverted to recover a background resistivity. This resistivity is then used to generate the sensitivity for the IP inversion, and a linear inverse problem is solved to obtain a polarizability. To stabilize the IP inversion process, we apply model constraint methods to the inversion of synthetic and field data examples. From these numerical experiments, we can find that an accurate polarizability model can be reconstructed more effectively with base-model constraint than with smoothness constraint. |
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