Processing technology of extracting and separating noise along time-distance curve
WANG Jianhua1, XIE Junfa1, ZANG Shengtao1, PAN Chunfu2, YANG Wei1, CHENG Yusheng3
1. Northwest Branch, Research Institute of Petroleum Exploration & Development, PetroChina, Lanzhou, Gansu 730020, China; 2. China National Oil and Gas Exploration and Development Corporation, CNPC, Beijing 100034, China; 3. Seismic Data Processing Center, GRI, BGP Inc., CNPC, Zhuozhou, Hebei 072751, China
Abstract:Prestack regular interference suppression is an important part of seismic data processing. In the GeoEast processing system, the upgoing and downgoing waves in the vertical seismic profile (VSP) data are separated by the technology of wavefield separation along the time-distance curve. In the sliding time window, the calculation range is determined according to the time-distance curve of the downgoing wave. The wavefield of the downgoing wave in the VSP data is extracted by median weighting of multiple correlations or linear prediction. Then, the upgoing wavefield is obtained by subtracting the downgoing wavefield from the total wavefield. The process of VSP wavefield se-paration is highly similar to that of the prestack denoising of surface seismic data. GeoEast-VSP wavefield separation technology can be employed for prestack suppression of the regular noise in surface seismic data. Specifically, key trace header information can be modified to transform the surface seismic record so that it can be processed by the VSP module. Then, the arrival time of the noise is assigned to the first break of the VSP data according to the time-distance equation of the regular noise. Finally, the regular noise is extracted by the processing method based on VSP wavefield separation within the given offset range and the time window with noise distribution, and the denoised seismic data are obtained by the adaptive subtraction method. The proposed method is anadaptive regular interference noise suppression technology in the time-space domain, and it can effectively eliminate the linear noise and multiples in seismic records. This method is suitable for the processing of various data, such as prestack shot gathers, receiver gathers, “cross” spread subsets, and common reflection point (CRP) gathers, and it is characterized by relative fidelity and amplitude preservation. It is further applied to process actual seismic data on deserts, Gobi, and complex mountains, and the results verify its effectiveness and practicability.
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