Abstract
Seismic exploration is the most important and the most effective method of solving the petroleum exploration problem which uses seismic data to cognize the underground geological structure and orientate oil and gas traps. Full waveform inversion (FWI) could build precision velocity model of earth medium through the extraction of the full information content of the seismic data. The quality of seismic data has significant impact on the full waveform inversion. However, field seismic data acquisition is restricted by various conditions, the observation system is often irregular, seismic data may be missing. Irregularity or missing of seismic data will seriously affect the seismic processing and interpretation results. Seismic data reconstruction methods can be used to restore the missing data, then improve the quality of seismic data. In this paper, we utilize the morphological component analysis (MCA) method to reconstruct the seismic data. Then we combine this method with full waveform inversion to provide high quality seismic data which used as input for FWI. Experimental results show that not only can the MCA method rebuild seismic data accurately but also has the effect of denoising. Full waveform inversion based on MCA seismic data reconstruction can obtain higher precision subsurface velocity. We apply this method to the field seismic data, the quality of seismic data is improved, and can obtain better inversion results.
Highlights
Full waveform inversion (FWI) is an effective method that using observed seismic data to invert for physical property of the earth media
We test the data reconstruction method with a numerical model, and the results show that the morphological component analysis (MCA) method can rebuild seismic data accurately and has the ability of denoising
Full waveform inversion based on MCA data reconstruction gets higher precision results
Summary
Full waveform inversion (FWI) is an effective method that using observed seismic data to invert for physical property of the earth media. The velocity model obtained from FWI can be used to improve the quality of migration and provide valuable imaging results. We can update the velocity model in each iteration and take the updated model as the input for the iteration In this process, the quality of seismic data is a key issue for full waveform inversion. We incorporate the data reconstruction method in the full waveform inversion process, in order to provide high quality seismic data for full waveform inversion. Full waveform inversion based on MCA data reconstruction gets higher precision results. We apply this method to the field seismic data It shows that the quality of seismic data is improved, and inversion results become better
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