The issues of prestack reverse time migration and solutions with Graphic Processing Unit implementation
作者单位：Key Laboratory of Petroleum Resources Research Institute of Geology and GeophysicsChinese Academy of Sciences
会议名称：《中国科学院地质与地球物理研究所2012年度（第12届）学术年会》
会议日期：2013年
学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学]
基 金：supported by the National Science and Technology of Major Projects(grant No.2011ZX05008- 006-50 and 2011ZX05003-003) the Project of National Natural Science Foundation of China(Grant No.40830424 and 41104078) the 48th batch China Postdoctoral Science Foundation general programme(20100480450)
关 键 词：RTM GPU Pseudo random boundary Rugged topography Anisotropy
摘 要：Prestack reverse time migration(RTM) is a very useful tool for seismic imaging but has mainly three bottlenecks:highly intensive computation cost,low-frequency band imaging noise and massive memory ***,PC-clusters with thousands of computation nodes are used to perform RTM but it is too expensive for small companies and *** this article,we use Graphic Processing Unit(GPU) architecture,which is cheaper and faster to implement RTM and we obtain an order of magnitude higher speedup ratio to solve the problem of intensive computation *** at the massive memory demand,we adopt the pseudo random boundary condition that sacrifices the computation cost but reduces the memory demand. For rugged topography RTM,it is difficult to deal with the rugged free boundary condition with the finite difference *** employ a simplified boundary condition that avoids the abundant logical judgment to make the GPU implementation possible and does not induce any sacrifice on ***,we have also done some tests on multi-GPU implementation for wide azimuth geometries using the latest GPU cards and ***,we discuss the challenges of anisotropy RTM and GPU *** the jobs stated above are based on GPU and the synthetic data examples will show the efficiency of the algorithm and solutions.