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| AN IMPROVED RANDOM ATTENUATION METHOD BASED ON CURVELET TRANSFORM AND TOTAL VARIATION |
| XUE Yong-an, WANG Yong, LI Hong-cai, LU Shu-qin |
| Geophysical Prospecting Technology Research Institute, Jiangsu Oil Filed Branch of Sinopec, Nanjing 210046, China |
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Abstract Random noise can be effectively attenuated based on conventional combination of curvelet transform and total variation technology.This combination technology can reduce the pseudo-gibbs effects and the aliased curves resulting from using curvelet transform,but this method is not conducive to the fidelity of seismic data processing.In this paper,a random noise attenuation method is put forward based on multi-scale and multi-direction improved Donoho thresholds,This improved combination technology can very effectively overcome the disadvantages of conventional combination technology and better preserve the signal of seismic data.When this method is used to attenuate random noise,we must choose appropriate threshold factors at every scale and in every direction,and it is unlike conventional technology which only chooses one fixed proportion threshold factors of all curvelet coefficients.Theoretical model and real data processing results show that this technology can maximally preserve the signal of seismic data,so it has a good prospect in the seismic data processing.
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Received: 25 December 2012
Published: 10 February 2014
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