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    • 9. 发明申请
    • Accelerating Full Wavefield Inversion with Nonstationary Point-Spread Functions
    • 用非稳态点扩散函数加速全波场反演
    • US20150073755A1
    • 2015-03-12
    • US14330767
    • 2014-07-14
    • Yaxun TangSunwoong Lee
    • Yaxun TangSunwoong Lee
    • G01V99/00G06F17/50
    • G01V1/28G01V2210/66G06F17/5009G06F2217/16
    • Method for reducing computational time in inversion of geophysical data to infer a physical property model (91), especially advantageous in full wavefield inversion of seismic data. An approximate Hessian is pre-calculated by computing the product of the exact Hessian and a sampling vector composed of isolated point diffractors (82), and the approximate Hessian is stored in computer hard disk or memory (83). The approximate Hessian is then retrieved when needed (99) for computing its product with the gradient (93) of an objective function or other vector. Since the approximate Hessian is very sparse (diagonally dominant), its product with a vector may therefore be approximated very efficiently with good accuracy. Once the approximate Hessian is computed and stored, computing its product with a vector requires no simulator calls (wavefield propagations) at all. The pre-calculated approximate Hessian can also be reused in the subsequent steps whenever necessary.
    • 减少地球物理数据反演中的计算时间推断物理性质模型的方法(91),在地震数据的全波场反演中特别有利。 通过计算确切的Hessian和由孤立点衍射器(82)组成的采样矢量的乘积,预先计算近似的Hessian,并将近似Hessian存储在计算机硬盘或存储器(83)中。 然后,当需要(99)用于使用目标函数或其他向量的梯度(93)计算其乘积时,检索近似的Hessian。 由于近似的Hessian是非常稀疏的(对角占优势的),因此可以非常有效地逼近具有向量的乘积。 一旦计算和存储近似的Hessian,用矢量计算其乘积就不需要模拟器调用(波场传播)。 预先计算的近似黑森西也可以在随后的步骤中重复使用。