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    • 1. 发明申请
    • SYSTEM AND METHOD FOR DE-EMBEDDING A DEVICE UNDER TEST EMPLOYING A PARAMETRIZED NETLIST
    • 在使用参数化列表的测试中去除嵌入式设备的系统和方法
    • US20090224772A1
    • 2009-09-10
    • US12043169
    • 2008-03-06
    • Basanth JagannathanZhenrong JinHongmei Li
    • Basanth JagannathanZhenrong JinHongmei Li
    • G01R35/00
    • G01R27/32G01R35/00
    • S-parameter data is measured on an embedded device test structure, an open dummy, and a short dummy. A 4-port network of the pad set parasitics of the embedded device test structure is modeled by a parameterized netlist containing a lumped element network having at least one parameterized lumped element. The S-parameter data across a range of measurement frequencies is fitted with the parametrized netlist employing the at least one parameterized lumped element as at least one fitting parameter for the S-parameter data. Thus, the fitting method is a multi-frequency fitting for the at least one parameterized lumped element. A 4-port Y-parameter (admittance parameter) is obtained from the fitted parameterized netlist. The Y-parameter of the device under test is obtained from the measured admittance of the embedded device test structure and the calculated 4-port Y parameter.
    • S参数数据是在嵌入式设备测试结构上测量的,一个开放虚拟的和一个短虚拟的。 嵌入式设备测试结构的焊盘组寄生效应的4端口网络由包含具有至少一个参数化集总元件的集总元件网络的参数化网表建模。 将测量频率范围内的S参数数据与采用至少一个参数化集总元件的参数化网表拟合为S参数数据的至少一个拟合参数。 因此,拟合方法是用于至少一个参数化的集总元件的多频率拟合。 从拟合的参数化网表获得4端口Y参数(导纳参数)。 被测器件的Y参数是从嵌入式器件测试结构的测量导纳和计算的4端口Y参数获得的。
    • 2. 发明授权
    • System and method for de-embedding a device under test employing a parametrized netlist
    • 使用参数化网表解嵌入被测设备的系统和方法
    • US07741857B2
    • 2010-06-22
    • US12043169
    • 2008-03-06
    • Basanth JagannathanZhenrong JinHongmei Li
    • Basanth JagannathanZhenrong JinHongmei Li
    • G01R35/00G01D18/00G01P21/00
    • G01R27/32G01R35/00
    • S-parameter data is measured on an embedded device test structure, an open dummy, and a short dummy. A 4-port network of the pad set parasitics of the embedded device test structure is modeled by a parameterized netlist containing a lumped element network having at least one parameterized lumped element. The S-parameter data across a range of measurement frequencies is fitted with the parameterized netlist employing the at least one parameterized lumped element as at least one fitting parameter for the S-parameter data. Thus, the fitting method is a multi-frequency fitting for the at least one parameterized lumped element. A 4-port Y-parameter (admittance parameter) is obtained from the fitted parameterized netlist. The Y-parameter of the device under test is obtained from the measured admittance of the embedded device test structure and the calculated 4-port Y parameter.
    • S参数数据是在嵌入式设备测试结构上测量的,一个开放虚拟的和一个短虚拟的。 嵌入式设备测试结构的焊盘组寄生效应的4端口网络由包含具有至少一个参数化集总元件的集总元件网络的参数化网表建模。 跨越测量频率范围的S参数数据与采用至少一个参数化集总元件的参数化网表相配合,作为S参数数据的至少一个拟合参数。 因此,拟合方法是用于至少一个参数化的集总元件的多频率拟合。 从拟合的参数化网表获得4端口Y参数(导纳参数)。 被测器件的Y参数是从嵌入式器件测试结构的测量导纳和计算的4端口Y参数获得的。
    • 4. 发明申请
    • Conditional Process-Aided Multiple-Points Statistics Modeling
    • 条件过程辅助多点统计建模
    • US20150219793A1
    • 2015-08-06
    • US14421372
    • 2013-08-23
    • Hongmei LiTao Sun
    • Hongmei LiTao Sun
    • G01V99/00G06F17/18
    • A method of simulating a hydrocarbon reservoir is disclosed. A process-based model is generated that mimics a depositional process of the reservoir. The process-based model is analyzed to extract statistics of geometries of a body that forms part of the reservoir, and depositional rules of the body. An object-based modeling method is applied to construct multiple unconditional geologic models of the body using the statistics and the depositional rules. Training images are constructed using the multiple unconditional geologic models. Well data and gross thickness data are assigned into a simulation grid. A single multiple-point geostatistical simulation is performed using the training images. A three-dimensional (3D) reservoir model is constructed using results of the multiple-point geostatistical simulation.
    • 公开了一种模拟烃储层的方法。 生成基于过程的模型,其模拟储层的沉积过程。 分析基于过程的模型,以提取形成储层的一部分的身体的几何体的统计数据,以及身体的沉积规则。 应用基于对象的建模方法,利用统计学和沉积规则构建身体的多个无条件地质模型。 使用多个无条件地质模型构建训练图像。 井数据和总厚度数据被分配到模拟网格中。 使用训练图像执行单个多点地统计模拟。 使用多点地统计模拟的结果构建三维(3D)储层模型。