DocumentCode
1839697
Title
Surface-Related Multiples Prediction Based on Wave Equation
Author
Shi Ying ; Liu Shi-zhu ; Li Ying
Author_Institution
Sch. of Earth Sci., Northeast Pet. Univ. Daqing, Daqing, China
fYear
2013
fDate
21-23 June 2013
Firstpage
45
Lastpage
48
Abstract
Multiples prediction and adaptive subtraction are two important aspects for surface-related multiples suppression method based on wave-equation. In this paper, only the prediction part is discussed. GPU (graphic processing unit) with parallel computation advantage is exploited to accelerate surface-related multiples prediction, which improved calculation efficiency greatly. So the prediction of surface-related multiples using 2D algorithms is applied widely in data processing. However, prediction methods based on 2D input data are often not capable of predicting the surface-related multiples correctly. Therefore, wave equation-based multiples prediction need to be applied in a full 3D sense. In this paper, 2D SRME (Surface-related multiples elimination) algorithm is applied on theoretical SMAART model and 3D SRME is applied on forward modeling data set. The test results demonstrate that the approach can predict multiples efficiently.
Keywords
geophysical prospecting; geophysics computing; graphics processing units; partial differential equations; seismic waves; wave equations; 2D SRME algorithm; GPU; adaptive subtraction; data processing; graphic processing unit; parallel computation; seismic prospecting; surface-related multiples elimination; surface-related multiples prediction; surface-related multiples suppression method; wave equation; Algorithm design and analysis; Computational efficiency; Graphics processing units; Prediction algorithms; Surface treatment; Surface waves; Three-dimensional displays; 3D SRME; GPU; multiples; prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location
Shiyang
Type
conf
DOI
10.1109/ICCIS.2013.20
Filename
6642935
Link To Document