Abstract:

High resolution is one of the goals of seismic data processing. Inverse Q filtering is a common method to achieve high resolution of seismic data. When the signal-to-noise ratio (SNR) of seismic data is low, the conventional stable inverse Q filtering method has the challenge of enhancing the noise energy. In this paper, an inverse Q filtering method with adjustable amplitude compensation operator under SNR constraints is proposed based on self-adaptive gain-limited inverse Q filtering method. This method presents a new amplitude compensation operator. By calculating the SNR of seismic data, the cutoff frequency of the effective frequency band is obtained, enabling the amplitude compensation operator to be dynamically adjusted according to the characteristics of the seismic data itself. The high-frequency noise energy is further suppressed by introducing a dynamically adjustable amplitude compensation curve. The test results of theoretical synthetic data and field data show that: the method proposed in this paper can compensate the amplitude well and improve the seismic data resolution. Compared with the traditional stable inverse Q filtering method and the self-adaptive gain-limited inverse Q filtering method, the method proposed in this paper has a better ability to suppress noise energy enhancement, and the SNR of the processing result is higher.

Key words: inverse Q filtering')"> inverse Q filtering, time-varying gain-limited, high resolution, high signal-to-noise ratio, seismic attenuation, attenuation compensation