High-frequency magnetotelluric sounding instrument-based inversion method for energy spectrum
AssigneeInstitute of Geology and Geophysics, Chinese Academy of Sciences
InventorPENGFEI LIANG
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Abstract
The present disclosure is adapted to the field of geological exploration, and provides to a high-frequency magnetotelluric sounding instrument-based inversion method for energy spectrum, which provides that the energy spectrum obtained by transforming the time sequence signal in the high-frequency magnetotelluric data is defined as the model objective function and the data in the inversion objective function, to obtain the underground large-scale conductivity structure by inversion, which avoids the modification of the conventional detection method and detection instrument, and does not add extra expense and is easy to operate.
Claims5
A high-frequency magnetotelluric sounding instrument-based inversion method for energy spectrum, comprising the following steps:
- a1. obtaining a time sequence signal by detecting the magnetotelluric field based on a high-frequency magnetotelluric sounding instrument;
- a2. obtaining a signal frequency spectrum with frequency as abscissa and amplitude as ordinate by Fourier transforming on the time sequence signal;
- a3. obtaining an energy spectrum by convolution operating on a full-band of the signal frequency spectrum;
- a4. extracting an underground large-scale conductivity structure information by an inversion of a maximum value selected from the energy spectrum.
A high-frequency magnetotelluric sounding instrument-based inversion method for energy spectrum, comprising the following steps:
- a1. obtaining a time sequence signal by detecting the magnetotelluric field based on a high-frequency magnetotelluric sounding instrument;
- a2. obtaining a signal frequency spectrum with frequency as abscissa and amplitude as ordinate by Fourier transforming on the time sequence signal;
- a3. obtaining an energy spectrum by Hilbert transforming on a full-band of the signal frequency spectrum;
- a4. extracting the underground large-scale conductivity structure information by an inversion of a maximum value selected from the energy spectrum.
Dependencies are inferred from the claim text.