كليدواژه :
Singular value decomposition , زمين شناسي , Lanczos , 3-D Seismic , داده هاي برانبارش , F-XY , فيلتر , نوفه تصادفي , لنكزوس , Random noise , نوفه ها , filtering , لرزه نگاري , Eigenimage , F-XY
چكيده لاتين :
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.
