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| Variable “wavelet” simulated imaging method based on illumination compensation |
| JIAO Junfeng1, ZHAO Aiguo2, LIAN Ximeng2, CUI Qinghui2, SUN Chengyu1, WU Han3 |
1. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580;
2. Geophysical Research Institute, Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257022;
3. School of Earth Sciencesand Engineering, Sun Yat-Sen University, Zhuhai, Guangdong 519080 |
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Abstract Currently prestack depth migration is the key technology of high-precision seismic imaging. For a given velocity model, the traditional method is to solve the wave equation for wavefield forward modeling first, and then do prestack migration imaging for the forward wavefield. This method features low computational efficiency and high requirements for hardware. At present, the simulated prestack depth migration method based on an imaging operator does not need wavefield forward modeling and migration processing with high computational efficiency. However, there are some problems, such as inconsistency of the energy distribution with the actual situation, serious zonal reconstruction division, and incorrect imaging waveform. To improve the effect of simulated prestack migration imaging algorithms, a variable "wavelet" simulated prestack depth migration imaging method based on illumination com-pensation is proposed in this paper. This method first calculates the ray path according to the acquisition geometry, adopts the unit impulse instead of the point spread function to construct the direct imaging operator in the wavenum-ber domain, and acts as the imaging operator on the reflection coefficient model. Then, the imaging results in the simulated depth domain are obtained by unsteady convolution in the spatial domain, which solves the problem that the waveform cannot change spatially in the simulated depth imaging. Through the superposition of multi-point simulation imaging results under the action of unit impulse, the problems of spatial energy difference and illumination inability in individual areas are addressed. This method not only retains the advantage of the fast calculation speed of the original algorithm but also tackles the problems of energy distribution and "wavelet" space variation. Model test proves that the imaging results of this method are accurate, which can provide more accurate references for the selection of acquisition geometry and seismic imaging.
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Received: 08 October 2022
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2023, Vol. 58 
