Single point high density seismic data processing analysis and initial evaluation
Zhang Yong-gang1, Wang Yun2, Yin Jun-jie3
1. Scientific Development Dept. of Sinopec, Beijing City, 100728, China;
2. Institute of Geology and Geophysics, China Academy of Sciences, Beijing City, 100029, China;
3. State Engineering Research Centre,China United Coalbed Methane Co.,Ltd,Beijing City,100011,China
Abstract:By comparing numerical simulation and field data, the difference between Single point high density seismic data and regular seismic data was analyzed in resolution, Signal to Noise Ratio and data processing, the characteristics in every step of data processing was also analyzed, the processing flowchart for single point high density seismic data was summarized, and calculation efficiency of single point high density seismic data was illuminated. The authors of this paper believe that the selection of the processing modules for the single point high density seismic data should be based on its characteristics, such as small spatial sample interval, high fidelity, low/no alias, wide frequency band and low Signal to Noise Ratio, the following understanding for the data were also obtained: (1). The single point high density acquisition is in favor of realization of full wave field non-alias sampling, broadens bandwidth, and lays foundation for realization of non-alias denoising and high fidelity processing for effective signal, it is also in favor of raising the imaging accuracy for complex structures, large inclination structures and small scale exploration targets, (2). Both field array and indoor array could suppress surface wave and random noise, but the indoor array is superior as it could keeps the bandwidth and it is more flexible, and (3). Better processing results achieved for single point high density data when currently available processing modules are utilized in the processing flowchart.
张永刚, 王赟, 尹军杰. 单点高密度地震数据处理分析与初步评价[J]. 石油地球物理勘探, 2010, 45(2): 201-207.
Zhang Yong-gang, Wang Yun, Yin Jun-jie. Single point high density seismic data processing analysis and initial evaluation. OGP, 2010, 45(2): 201-207.