Discussion on seismic data processing method of permafrost in Qinghai-Tibet Plateau
Weiwei Wu, Hongbo Wang, Jie Hu, Haitao Dai, Jianbing Cheng
Abstract
Weiwei Wu, Hongbo Wang, Jie Hu, Haitao Dai, Jianbing Cheng
Abstract
In recent years, along with the need of natural gas hydrate exploration, it is very important to carry out the research on imaging and identification of seismic data of Permafrost. Because the buried depth of permafrost is relatively shallow (mostly within 500 meters), the seismic data is affected by the factors such as low coverage in shallow strata, serious near-trace interference and low precision of velocity analysis, resulting in low signal-to-noise ratio of shallow seismic data and inability to identify the reflection information of Permafrost effectively. Based on the analysis of the characteristics of the seismic data of the Qiangtang basin, this paper first proposed an identification and imaging method of plateau permafrost using both seismic and non-seismic constraints. In the application of this multi-disciplinary and multi-mean method on the actual data, we get obvious results.
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In recent years, along with the need of natural gas hydrate exploration, it is very important to carry out the research on imaging and identification of seismic data of Permafrost. Because the buried depth of permafrost is relatively shallow (mostly within 500 meters), the seismic data is affected by the factors such as low coverage in shallow strata, serious near-trace interference and low precision of velocity analysis, resulting in low signal-to-noise ratio of shallow seismic data and inability to identify the reflection information of Permafrost effectively. Based on the analysis of the characteristics of the seismic data of the Qiangtang basin, this paper first proposed an identification and imaging method of plateau permafrost using both seismic and non-seismic constraints. In the application of this multi-disciplinary and multi-mean method on the actual data, we get obvious results.
Key concepts: Permafrost, Plateau (mathematics), Geology, Data processing, Remote sensing, Seismology, Physical geography, Computer science