Gather optimized processing method and device thereof

Abstract

The invention discloses a gather optimized processing method. The gather optimized processing method comprises the following steps of carrying out noise attenuation processing on actually-obtained pre-stack gathers by adopting a Radon conversion filtering method; carrying out gather leveling processing on the pre-stack gathers which are subjected to the noise attenuation processing by adopting a static correction method; carrying out amplitude correction processing on the pre-stack gathers which are subjected to the gather leveling processing by adopting a background tendency energy compensation method based on model AVO (Amplitude Variation with Offset) characteristics. According to the gather optimized processing method, the Radon conversion filtering method can be used for removing multiple waves, linear interference, random noises and the like in the gathers; the gather optimized processing method has a strong noise elimination capability and is less damage to signals; the gather leveling adopts the static correction method so that the gathers can be leveled better; furthermore, the amplitude correction adopts background tendency energy compensation based on the model AVO characteristics, and the characteristic that the amplitude of the gathers are changed along the offset distance is accurately corrected.

Description

technical field [0001] The invention relates to the technical field of seismic gathers, in particular to a gather optimization processing method and a device thereof. Background technique [0002] The pre-stack inversion technology makes full use of the information on the change of seismic amplitude with offset (angle) to quantitatively estimate the elastic parameters (such as P-wave velocity, shear-wave velocity, density, etc.) important role in forecasting. The basis of prestack inversion is a high-quality prestack CRP gather, which generally requires a high signal-to-noise ratio, event level, and amplitude fidelity. Conventional seismic data processing is mainly aimed at structural imaging and structural interpretation, and the generated pre-stack gathers usually have the following three problems: 1. The signal-to-noise ratio of the pre-stack gather data is not high; Due to the influence of dynamic velocity, wavelet, anisotropy and other factors, the gather event is not...

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Problems solved by technology

Conventional seismic data processing is mainly aimed at structural imaging and structural interpretation, and the generated pre-stack gathers usually have the following three problems: 1. The signal-to-noise ratio of the pre-stack gather data is not high; Due to the influence of dynamic velocity, wavelet, anisotropy and other factors, the gather event is not flat; 3. Due to the divergence and absorption of seismic waves in the process of propagation in complex underground media, the non-amplitude processing in data processing, and the limitations of mountainous seismic observation systems Influenced by factors such as defects, the actual gather amplitude energy is not true, and the change of gather amplitude with offset cannot truly reveal the characteristics of the underground medium

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