Research and application of multi-wave joint denoising method for tight gas reservoirs in central Sichuan Basin
YANG Wei1, YANG Zhe1, WANG Xiaowei1, WANG Jianhua1, LIU Jie1, GAO Yang2
1. Northwest Branch, Research Institute of Petroleum Exploration & Development, PetroChina, Lanzhou, Gansu 730020, China; 2. Geophysical Technology Research Center, BGP Inc., CNPC, Zhuozhou, Hebei 072751, China
Abstract：The tight sandstone gas reservoirs in the Sichuan Basin are an important part of China’s tight gas energy. The shallow tight sandstone gas reservoir in the Shaximiao Formation of Jurassic in the central Sichuan Basin has favorable exploration potential with characteristics of shallow burial, low development cost, and high economic benefits. Multi-wave and multi-component seismic exploration technology can simultaneously obtain converted-wave data reflecting rock matrix and anisotro-pic characteristics and compressional-wave data reflecting the matrix and fluid characteristics. It can thus support reservoir identification and characte-rization in tight gas reservoir exploration. This paper mainly focuses on suppressing the noise in the multi-wave data on the tight gas reservoir area in the central Sichuan Basin. Specifically, some of the noise in the raw compressional-wave and converted-wave data is similar, and the effective signal and the noise in the converted wave share an overlapping frequency band. Due to these characteristics, the joint noise suppression idea of “regular noise before irregular noise” is proposed. Then, the implementation process of three key noise suppression methods, including the wavefield separation method based on the time-offset equation, the polarization filtering method, and the near-offset high-energy suppression method, is expounded. Finally, the effect of multi-wave joint noise suppression is demonstrated with actual multi-wave data on the Shaximiao Formation of Jurassic in the central Sichuan Basin. The actual data application results show that the proposed multi-wave joint denoising method can effectively suppress the noise in the multi-wave data on the shallow Shaximiao Formation of Jurassic, thereby providing multi-wave data with a high signal-to-noise ratio for further data processing.
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