Abstract：It is difficult to estimate the quality factor Q in gas cloud area due to the poor quality of seismic data caused by energy attenuation. We propose in this paper amplitude compensation based on a data-driven algorithm for seismic data in gas cloud area. In this approach, reflection amplitude at different time and different frequencies from different receivers are statistically analyzed, so the corresponding compensation factor value could be estimated under the assumption of amplitude lateral continuity. The factor value is applied to seismic data rather than Q value. Real data processing in gas cloud area proves the effectiveness of this proposed approach.
张志军, 周东红. 数据驱动的“气云”区振幅补偿方法[J]. 石油地球物理勘探, 2016, 51(3): 474-479,505.
Zhang Zhijun, Zhou Donghong. Amplitude compensation in gas cloud area based on a data-driven algorithm. OGP, 2016, 51(3): 474-479,505.
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