TY - JOUR ID - 10865 TI - - JO - Journal of the Earth and Space Physics JA - JESPHYS LA - en SN - 2538-371X Y1 - 2005 PY - 2005 VL - 31 IS - 1 SP - EP - KW - 3-D Seismic KW - Eigenimage KW - Filtering KW - F-XY KW - Lanczos KW - Random Noise KW - Singular Value Decomposition DO - N2 - One of the main problems in geophysics data analysis is the presence of noise. This problem in seismic survey is more obvious than in the other branches. In this study the random noise suppression is presented by a filter which is called eigenimage filter and operates on stacked 3D seismic data in frequency domain. Our tools in suppression of random noises were SVD and Lanczos. The Lanczos method works much faster than SVD, specially when we have a sparse matrix. The special feature of the Lanczos method is its high performance. The F-xy filter has its own abilities such as fantastic signal preservation and well noise suppression, and can be used even before stacking. In this study presented performance of the filter on staked synthetic seismic data. UR - https://jesphys.ut.ac.ir/article_10865.html L1 - https://jesphys.ut.ac.ir/article_10865_7fbde3cae05db6928cec6bca67ec09d3.pdf ER -