METHOD FOR TOMOGRAPHIC INVERSION BY MATRIX TRANSFORMATION
    4.
    发明公开
    METHOD FOR TOMOGRAPHIC INVERSION BY MATRIX TRANSFORMATION 审中-公开
    VERFAHREN ZUR TOMOGRAPHISCHEN INVERSION DURCH MATRIXTRANSFORMATION

    公开(公告)号:EP1917542A1

    公开(公告)日:2008-05-07

    申请号:EP06786585.7

    申请日:2006-07-05

    IPC分类号: G01V1/28

    CPC分类号: G01V1/303

    摘要: Method for reducing instability and increasing computational efficiency in tomographic inversion for velocity model building. A system of tomographic equations is developed for a uniform grid. A non-uniform parameterization is found for which a linear mapping exists between the space of the uniform grid and the space of the non-uniform grid. The matrix that relates velocity to the tomographic data in the non-uniform representation is then given by the matrix product of the corresponding matrix in the uniform grid representation and the mapping matrix. Inversion can then be performed for the non-uniform parameterization on a smaller, more stable matrix.

    摘要翻译: 降低速度模型建立断层反演中不稳定性和提高计算效率的方法。 开发了一种用于统一网格的断层方程系统。 在均匀网格的空间与非均匀网格的空间之间存在线性映射,发现非均匀参数化。 然后在均匀网格表示和映射矩阵中,通过相应矩阵的矩阵乘积给出将速度与非均匀表示中的断层数据相关联的矩阵。 然后可以对较小,更稳定的矩阵进行非均匀参数化的反转。

    HYBRID METHOD FOR FULL WAVEFORM INVERSION USING SIMULTANEOUS AND SEQUENTIAL SOURCE METHOD
    6.
    发明公开
    HYBRID METHOD FOR FULL WAVEFORM INVERSION USING SIMULTANEOUS AND SEQUENTIAL SOURCE METHOD 有权
    HYBRID程序实现全波形反演同时和顺序来源

    公开(公告)号:EP2622378A1

    公开(公告)日:2013-08-07

    申请号:EP11831117.4

    申请日:2011-08-19

    IPC分类号: G01V1/40

    CPC分类号: G01V1/30 G01V2210/614

    摘要: Method for simultaneous full-wavefield inversion of gathers of source (or receiver) encoded geophysical data to determine a physical properties model for a subsurface region, especially suitable for surveys where fixed receiver geometry conditions were not satisfied in the data acquisition. First, a shallow time window of the data (202) where the fixed receiver condition is satisfied is inverted by simultaneous encoded (203) source inversion (205). Then, the deeper time window of the data (208) is inverted by sparse sequential source inversion (209), using the physical properties model from the shallow time window (206) as a starting model (207). Alternatively, the shallow time window model is used to simulate missing far offset data (211) producing a data set satisfying the stationary receiver assumption, after which this data set is source encoded (212) and inverted by simultaneous source inversion (214).

    FULL WAVEFIELD INVERSION USING TIME VARYING FILTERS
    7.
    发明公开
    FULL WAVEFIELD INVERSION USING TIME VARYING FILTERS 审中-公开
    到时间变化滤波器全波场反演

    公开(公告)号:EP2553601A1

    公开(公告)日:2013-02-06

    申请号:EP11763192.9

    申请日:2011-02-21

    IPC分类号: G06F17/10

    CPC分类号: G01V1/282

    摘要: An improved method for reducing the accuracy requirements on the starting model when performing multi-scale inversion of seismic data (65) by local objective function optimization (64). The different scales of inversion are brought about by incorporating a low-pass filter into the objective function (61), and then decreasing the amount of high- frequency data that is filtered out from one scale to the next. Moreover, the filter is designed to be time varying, wherein the filter's low-pass cutoff frequency decreases with increasing traveltime of the seismic data being filtered (62). The filter may be designed using Pratt' s criterion for eliminating local minima, and performing averages (or other statistical measure) of the period and the traveltime error only with respect to source and receiver location but not traveltime (63).

    HYBRID METHOD FOR FULL WAVEFORM INVERSION USING SIMULTANEOUS AND SEQUENTIAL SOURCE METHOD

    公开(公告)号:EP2622378B1

    公开(公告)日:2018-11-14

    申请号:EP11831117.4

    申请日:2011-08-19

    IPC分类号: G01V1/30

    CPC分类号: G01V1/30 G01V2210/614

    摘要: Method for simultaneous full-wavefield inversion of gathers of source (or receiver) encoded geophysical data to determine a physical properties model for a subsurface region, especially suitable for surveys where fixed receiver geometry conditions were not satisfied in the data acquisition. First, a shallow time window of the data (202) where the fixed receiver condition is satisfied is inverted by simultaneous encoded (203) source inversion (205). Then, the deeper time window of the data (208) is inverted by sparse sequential source inversion (209), using the physical properties model from the shallow time window (206) as a starting model (207). Alternatively, the shallow time window model is used to simulate missing far offset data (211) producing a data set satisfying the stationary receiver assumption, after which this data set is source encoded (212) and inverted by simultaneous source inversion (214).