High effective forward and inverse τ-p transform algorithms and τ-p hyperbolic velocity filtering in frequency domain.; 一种高效的频率域正反τ-p变换算法与τ-p双曲线速度滤波2. Based on the principle, we eliminate refraction interference by using pretack dip mid-value filtering and velocity filt...
The methods are executed by applying filters to the full set of seismic gather data in the domain in order to obtain a resulting wavefield from recorded pressure and/or particle velocity data. The output of the filter is iteratively decomposed according to local dip values using eigenimage ...
In this research work, diffraction imaging is performed by separating the diffractions from reflection data. We have developed a new workflow using f-k domain which is called frequency filter for separating only diffraction depending on the dipping angle of reflectors. The validation of method is ...
Effective Digital Image Processing (DIP) algorithms require robust computational resources, which can be costly in terms of speed and power consumption for any embedded image sensor application. A remedy for this is a focal plane implementation. In this design, the image filtering occurs within the...
3.3. 2D Frequency–Wavenumber (𝑓−𝑘f−k) Filtering The above 1D high-pass filtering approach conceptually can be extended into a 2D operation through the use of velocity-dip filtering [29], which has been used for decades in seismic data processing to remove the types of unwanted coh...
Liu et al. (2012) propose a method for random noise attenuation in seismic data by applying noncausal regularized nonstationary autoregression (NRNA) in frequency domain, which is implemented for 2D seismic data. These nonstationary methods can control algorithm's adaptability to changes in local ...
uncertainty principle8. First, the signal is divided into several simple components via the so called sifting approach, which boils down to the calculation of the signal moving average via envelopes connecting its extrema. Then, each component is analysed separately in the time-frequency domain9. ...
that it is much lower in frequency. Removing this noise is as simple as a low pass filter in the RT domain to remove reflections, followed by RT inversion and subtraction of the noise estimate from the original gather. Figure 5 shows the low-pass of the RT transform in Figure 4, and ...
High effective forward and inverse τ-p transform algorithms and τ-p hyperbolic velocity filtering in frequency domain.; 一种高效的频率域正反τ-p变换算法与τ-p双曲线速度滤波 2. Based on the principle, we eliminate refraction interference by using pretack dip mid-value filtering and velocity fi...
The seismic data can be comprised of irregularities in spatial sampling, non-stationarity in time and non-stationarity in frequency. The methods and systems can then be adapted to create a multi-component dip filter that removes high amplitude dispersive noise from the seismic data based on the ...