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Method and application of Gaussian beam velocity tomography based on azimuth-reflection angle domain common imaging gathers |
Jie-Xiong CAI |
SINOPEC Geophysical Research Institute,Nanjing 211103,China |
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Abstract Tomography is one of the most important velocity building methods.Travel time tomography in image domain, implemented with migration, is widely used in velocity model building currently. The authors first introduced the method to output the azimuth-reflection angle gathers, and then, under the assumption of the first-order Born and Rytov approximation of wave equation,started with the imaging condition of Gaussian Beam Migration to derive the linear relation between traveltime perturbation and velocity perturbation in the image domain,with which the authors constructed the explicit expression of kernel function for the wave equation traveltime tomography and established the traveltime tomography equation.The key to computing the kernel is how to compute the Green function in the background model.Making use of the Gaussian beam propagation operator to compute the kernel function can be flexible and efficient.Together with the implementation of Gaussian beam propagation operator in migration,the authors truly realized the integrated technological process of velocity building and migration.Numerical tests and field data application demonstrate that the Gaussian-beam-propagator based traveltime tomography in image domain is effective.
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Received: 24 August 2017
Published: 24 October 2018
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硬件环境 | ①处理器:Intel(R)Xeon(R)X5650 ②处理器主频:2.66 GHz ③物理内存:48 GB ④每个节点CPU数:2个(每个CPU8核) | 软件环境 | ① 操作系统:Red Hat Enterpise Linux 4-64 Update 5 ② 并行计算环境:MPICH1.2.6 ③ 编译器:INTEL C++ 、FORTRAN编译器 10.0.023 Linux 版(64位) ④ 配置英特尔 MKL9.1 (Math Kernel Library Cluster Edition)数学库 | 网络环境 | 1000 M,4 GB光纤 |
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处理名称 | 处理时间/min | 折算单核处理效率 | 高斯束层析 | 110.3 | 0.766 M/h | 射线层析 | 9.99 | 8.46 M/h |
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