New convolutional differentiator method and 2.5-D seismic waves modeling
For improving the precision and efficiency of seismic modeling,one aim of this paper is to develop a generalized and high precision forward method.The authors introduce convolutional Forsyte polynomial differentiator to calculate the spatial derivative of seismic wave equation,and apply the time staggered grid finite-difference which can better meet the high precision of the convolutional differentiator to substitute the conventional finite-difference to calculate the time derivative of seismic wave equation,then creating a new forward method to modeling the wave-field in complex inhomogeneous media.Another aim of this paper is to study 2.5 dimension (2.5-D) seismic wave-field.The authors apply CFPD method to simulate the seismic wave-field in 2.5-D inhomogeneous media.The results indicate that 2.5-D numerical modeling is efficient to simulate one of the sections of 3D media,and 2.5-D calculation is much less time-consuming than 3D calculation.The theory and computation example of 2.5-D seismic wave field mentioned in this paper prove that the new algorithm can efficiently calculate the seismic wave-field in complex media.Proposing and developing this new forward method can provide more choices to study the seismic wave-field modeling,seismic wave migration,seismic inversion,and seismic wave imaging.
convolutional differentiator staggered-grid finite-difference 2.5-D inhomogeneous media seismic wave field numerical modeling
Bingjie Cheng Xiaofan Li Tianji Xu
Mobile Postdoctoral Center,Southwest Branch Co.,SINOPEC,Chengdu Sichuan,610081,China Institute of Geology and Geophysics,Chinese Academy of Science,Beijing,100029,China Deyang Branch Institute under Exploration and Production Institute of Southwest Petroleum Branch Com
国际会议
The 3rd International Conference on Environmental and Engineering Geophysics(第三届环境与工程地球物理国际会议)
武汉
英文
191-194
2008-06-15（万方平台首次上网日期，不代表论文的发表时间）