会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明授权
    • Full wavefield inversion using time varying filters
    • 使用时变滤波器的全波场反演
    • US08223587B2
    • 2012-07-17
    • US13020502
    • 2011-02-03
    • Jerome R. KrebsJohn E. Anderson
    • Jerome R. KrebsJohn E. Anderson
    • G01V1/00G06F17/20
    • G01V1/282
    • 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).
    • (65)通过局部目标函数优化(64)对地震数据进行多尺度反演(65)时,降低起始模型精度要求的改进方法。 通过将低通滤波器合并到目标函数(61)中,然后将从一个比例过滤出的高频数据的量减少到下一个尺度,从而产生不同的反演尺度。 此外,滤波器被设计为时变的,其中滤波器的低通截止频率随着被过滤的地震数据的行进时间的增加而减小(62)。 滤波器可以使用Pratt的标准来设计,用于消除局部最小值,并且仅针对源和接收器位置而不是行进时间执行周期的平均值(或其他统计测量)和行进时间误差(63)。
    • 6. 发明申请
    • Iterative Inversion of Data from Simultaneous Geophysical Sources
    • 同时地球物理资料数据迭代反演
    • US20130191090A1
    • 2013-07-25
    • US13791252
    • 2013-03-08
    • Jerome R. KrebsJohn E. AndersonRamesh NeelamaniCharles JingDavid L. HinkleyThomas A. Dickens
    • Jerome R. KrebsJohn E. AndersonRamesh NeelamaniCharles JingDavid L. HinkleyThomas A. Dickens
    • G06F17/50
    • G06F17/5009G01V1/28G01V2210/67
    • Method for reducing the time needed to perform geophysical inversion by using simultaneous encoded sources in the simulation steps of the inversion process. The geophysical survey data are prepared by encoding (3) a group of source gathers (1), using for each gather a different encoding signature selected from a set (2) of non-equivalent encoding signatures. Then, the encoded gathers are summed (4) by summing all traces corresponding to the same receiver from each gather, resulting in a simultaneous encoded gather. (Alternatively, the geophysical data are acquired from simultaneously encoded sources.) The simulation steps needed for inversion are then calculated using a particular assumed velocity (or other physical property) model (5) and simultaneously activated encoded sources using the same encoding scheme used on the measured data. The result is an updated physical properties model (6) that may be further updated (7) by additional iterations.
    • 用于在反演过程的仿真步骤中通过使用同时编码的源来减少执行地球物理反演所需的时间的方法。 通过编码(3)一组源集合(1)来准备地球物理勘测数据,使用每组收集从非等效编码签名集合(2)中选出的不同编码签名。 然后,通过将来自每个聚集的相同接收器的所有跟踪相加,将编码的聚集相加(4),导致同时编码的聚集。 (或者,从同时编码的源获取地球物理数据。)然后使用特定的假定速度(或其他物理属性)模型(5)计算反演所需的模拟步骤,并使用与之相同的编码方案同时激活编码的源 测量数据。 结果是可以通过附加迭代进一步更新(7)的更新的物理属性模型(6)。
    • 8. 发明申请
    • Full Wavefield Inversion Using Time Varying Filters
    • 使用时变滤波器的全波场反演
    • US20110238390A1
    • 2011-09-29
    • US13020502
    • 2011-02-03
    • Jerome R. KrebsJohn E. Anderson
    • Jerome R. KrebsJohn E. Anderson
    • G06F17/10
    • G01V1/282
    • 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).
    • (65)通过局部目标函数优化(64)对地震数据进行多尺度反演(65)时,降低起始模型精度要求的改进方法。 通过将低通滤波器合并到目标函数(61)中,然后将从一个比例过滤出的高频数据的量减少到下一个尺度,从而产生不同的反演尺度。 此外,滤波器被设计为时变的,其中滤波器的低通截止频率随着被过滤的地震数据的行进时间的增加而减小(62)。 滤波器可以使用Pratt的标准来设计,用于消除局部最小值,并且仅针对源和接收器位置而不是行进时间执行周期的平均值(或其他统计测量)和行进时间误差(63)。