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    • 1. 发明授权
    • Processing time series data embedded in high noise
    • 处理时间序列数据嵌入高噪声
    • US09334718B2
    • 2016-05-10
    • US12652405
    • 2010-01-05
    • Henri-Pierre ValeroSandip BoseQiuhua LiuRamachandra ShenoyAbderrhamane Ounadjela
    • Henri-Pierre ValeroSandip BoseQiuhua LiuRamachandra ShenoyAbderrhamane Ounadjela
    • G01V1/40E21B43/26G01V1/28
    • E21B43/26G01V1/288G01V2210/123
    • Automatic detection and accurate time picking of weak events embedded in strong noise such as microseismicity induced by hydraulic fracturing is accomplished by: a noise reduction step to separate out the noise and estimate its spectrum; an events detection and confidence indicator step, in which a new statistical test is applied to detect which time windows contain coherent arrivals across components and sensors in the multicomponent array and to indicate the confidence in this detection; and a time-picking step to accurately estimate the time of onset of the arrivals detected above and measure the time delay across the array using a hybrid beamforming method incorporating the use of higher order statistics. In the context of hydraulic fracturing, this could enhance the coverage and mapping of the fractures while also enabling monitoring from the treatment well itself where there is usually much higher and spatially correlated noise.
    • 自动检测和精确时间采集嵌入强噪声(如水力压裂引起的微震)的弱事件是通过以下方式实现的:通过降噪步骤分离噪声并估计其频谱; 事件检测和置信指标步骤,其中应用新的统计测试以检测哪个时间窗口包含多组件阵列中的组件和传感器之间的相干到达,并指示该检测的置信度; 以及精确估计上述检测到达时间的时间选择步骤,并且使用结合使用更高阶统计量的混合波束成形方法来测量阵列上的时间延迟。 在水力压裂的背景下,这可以增强裂缝的覆盖和映射,同时还能够从处理井本身进行监测,其中通常有更高的空间相关噪声。
    • 2. 发明授权
    • Filtering acoustic waveforms in downhole environments
    • 在井下环境中滤波声波
    • US08848484B2
    • 2014-09-30
    • US13310780
    • 2011-12-04
    • Henri-Pierre ValeroShinichi SunagaTakeshi Endo
    • Henri-Pierre ValeroShinichi SunagaTakeshi Endo
    • G01V1/48G01V1/44
    • G01V1/48G01V1/44G01V2210/23
    • Methods and apparatus to filter acoustic waveforms in downhole environments are described. An example method involves receiving acoustic waveform data representing acoustic signals traversing at least a portion of a borehole adjacent a subterranean formation and performing a direct transform operation on the acoustic waveform data to generate wavelet map data. The wavelet map data comprises a time-frequency representation of the acoustic waveform data. The example method also involves identifying a waveform of interest via the wavelet map data, extracting data associated with the waveform of interest from the wavelet map data, generating filtered wavelet map data based on the extracted data, and performing an inverse transform operation on the filtered wavelet map data to generate filtered acoustic waveform data
    • 描述了在井下环境中滤波声波的方法和装置。 示例性方法包括接收表示穿过邻近地层的钻孔的至少一部分的声信号的声波形数据,并且对声波形数据执行直接变换操作以产生小波图数据。 小波图数据包括声波形数据的时间 - 频率表示。 该示例方法还涉及通过小波变换图数据识别感兴趣的波形,从小波变换数据中提取与感兴趣波形相关联的数据,基于所提取的数据产生滤波后的小波变换数据,并对经滤波的 小波图数据生成滤波后的声波形数据
    • 4. 发明授权
    • Systems, methods, and apparatus to drive reactive loads
    • 用于驱动无功负载的系统,方法和装置
    • US08630148B2
    • 2014-01-14
    • US13152189
    • 2011-06-02
    • Abderrhamane OunadjelaJacques JundtOlivier MoyalHenri-Pierre ValeroSandip Bose
    • Abderrhamane OunadjelaJacques JundtOlivier MoyalHenri-Pierre ValeroSandip Bose
    • H04B11/00
    • H02M3/1563E21B47/00G01V1/159G01V1/42H04B11/00
    • Systems, methods, and apparatus to drive reactive loads are disclosed. An example apparatus to drive a reactive load includes a reactive component in circuit with the reactive load, a first switching element in circuit with the reactive load to selectively hold the reactive load in a first energy state and to selectively allow the reactive load to change from the first energy state to a second energy state, a second switching element in circuit with the reactive load to selectively hold the reactive load in the second energy state and to selectively allow the reactive load to change from the second energy state to the first energy state, and a controller to detect a current in the reactive load, and to control the first and second switching elements to hold the reactive load in the first or the second energy state when the current traverses a threshold.
    • 公开了用于驱动无功负载的系统,方法和装置。 驱动无功负载的示例性装置包括具有无功负载的电路中的无功分量,具有无功负载的电路中的第一开关元件,以选择性地将无功负载保持在第一能量状态并且选择性地允许无功负载从 第一能量状态到第二能量状态,第二开关元件在电路中具有无功负载以选择性地将无功负载保持在第二能量状态,并且选择性地允许无功负载从第二能量状态改变到第一能量状态 以及控制器,用于检测无功负载中的电流,并且当电流横穿阈值时,控制第一和第二开关元件将无功负载保持在第一或第二能量状态。
    • 7. 发明申请
    • PROCESSING TIME SERIES DATA EMBEDDED IN HIGH NOISE
    • 处理时间序列数据嵌入高噪声
    • US20100228530A1
    • 2010-09-09
    • US12652405
    • 2010-01-05
    • Henri-Pierre ValeroSandip BoseQiuhua LiuRamachandra ShenoyAbderrhamane Ounadjela
    • Henri-Pierre ValeroSandip BoseQiuhua LiuRamachandra ShenoyAbderrhamane Ounadjela
    • G06F17/10
    • E21B43/26G01V1/288G01V2210/123
    • Automatic detection and accurate time picking of weak events embedded in strong noise such as microseismicity induced by hydraulic fracturing is accomplished by: a noise reduction step to separate out the noise and estimate its spectrum; an events detection and confidence indicator step, in which a new statistical test is applied to detect which time windows contain coherent arrivals across components and sensors in the multicomponent array and to indicate the confidence in this detection; and a time-picking step to accurately estimate the time of onset of the arrivals detected above and measure the time delay across the array using a hybrid beamforming method incorporating the use of higher order statistics. In the context of hydraulic fracturing, this could enhance the coverage and mapping of the fractures while also enabling monitoring from the treatment well itself where there is usually much higher and spatially correlated noise.
    • 自动检测和精确时间采集嵌入强噪声(如水力压裂引起的微震)的弱事件是通过以下方式实现的:通过降噪步骤分离噪声并估计其频谱; 事件检测和置信指标步骤,其中应用新的统计测试以检测哪个时间窗口包含多组件阵列中的组件和传感器之间的相干到达,并指示该检测的置信度; 以及精确估计上述检测到达时间的时间选择步骤,并且使用结合使用更高阶统计量的混合波束成形方法来测量阵列上的时间延迟。 在水力压裂的背景下,这可以增强裂缝的覆盖和映射,同时还能够从处理井本身进行监测,其中通常有更高的空间相关噪声。