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    • 2. 发明授权
    • Data logging
    • 数据记录
    • US07302346B2
    • 2007-11-27
    • US11311609
    • 2005-12-19
    • Chung ChangMarwan MoufarrejSandip BoseTarek Habashy
    • Chung ChangMarwan MoufarrejSandip BoseTarek Habashy
    • G01V3/18
    • E21B45/00E21B47/04
    • A device and method for determining a geophysical characteristic of a borehole using at least one logging device is provided, wherein the at least one logging device includes at least one sensing device. The method includes associating the at least one sensing device with the borehole, wherein the at least one sensing device includes a sensing device measurement length. The method also includes operating the at least one sensing device to generate borehole data responsive to a borehole portion disposed essentially adjacent the sensing device measurement length, wherein the borehole data includes start time of scan, location of the at least one sensing device at start time of scan, stop time of scan and location of the at least one sensing device at stop time of scan. Furthermore, the method includes correlating the borehole data to determine the geophysical characteristic.
    • 提供了一种使用至少一个记录装置来确定钻孔的地球物理特性的装置和方法,其中所述至少一个测井装置包括至少一个感测装置。 所述方法包括将所述至少一个感测装置与所述钻孔相关联,其中所述至少一个感测装置包括感测装置测量长度。 所述方法还包括操作所述至少一个感测装置以响应于基本上邻近所述感测装置测量长度设置的钻孔部分而产生钻孔数据,其中所述钻孔数据包括扫描的开始时间,所述至少一个感测装置在开始时的位置 扫描的停止时间,扫描的停止时间和至少一个感测装置在扫描停止时的位置。 此外,该方法包括关联钻孔数据以确定地球物理特性。
    • 5. 发明授权
    • Dispersion extraction for acoustic data using time frequency analysis
    • 使用时频分析对声学数据进行色散提取
    • US07649805B2
    • 2010-01-19
    • US11854405
    • 2007-09-12
    • Sandip BoseHenri-Pierre ValeroShuchin Aeron
    • Sandip BoseHenri-Pierre ValeroShuchin Aeron
    • G01V1/00
    • G01V1/48
    • This invention pertains to the extraction of the slowness dispersion characteristics of acoustic waves received by an array of two or more sensors by the application of a continuous wavelet transform on the received array waveforms (data). This produces a time-frequency map of the data for each sensor that facilitates the separation of the propagating components thereon. Two different methods are described to achieve the dispersion extraction by exploiting the time frequency localization of the propagating mode and the continuity of the dispersion curve as a function of frequency. The first method uses some features on the modulus map such as the peak to determine the time locus of the energy of each mode as a function of frequency. The second method uses a new modified Radon transform applied to the coefficients of the time frequency representation of the waveform traces received by the aforementioned sensors. Both methods are appropriate for automated extraction of the dispersion estimates from the data without the need for expert user input or supervision.
    • 本发明涉及通过对接收到的阵列波形(数据)应用连续小波变换来提取由两个或更多个传感器的阵列接收的声波的慢度色散特性。 这产生用于每个传感器的数据的时间 - 频率图,其有助于在其上分离传播部件。 描述了两种不同的方法来通过利用传播模式的时间频率定位和作为频率的函数的色散曲线的连续性来实现色散提取。 第一种方法使用诸如峰值的模态图上的一些特征来确定每种模式的能量的时间轨迹作为频率的函数。 第二种方法使用新的修改的Radon变换,其应用于由上述传感器接收的波形迹线的时间频率表示的系数。 这两种方法适用于从数据中自动提取色散估计值,而无需专家用户输入或监督。
    • 7. 发明授权
    • Methods and apparatus to process measurements associated with drilling operations
    • 处理与钻井作业有关的测量的方法和装置
    • US08554483B2
    • 2013-10-08
    • US12685633
    • 2010-01-11
    • Henri-Pierre ValeroSandip Bose
    • Henri-Pierre ValeroSandip Bose
    • G01V3/38G01V3/32G06F19/00
    • E21B47/12E21B47/00G01V1/46G01V11/00
    • Methods and apparatus to process measurements associated with drilling operations are described. An example method of modifying processing results during a subterranean formation drilling operation includes identifying a plurality of parameters and processing measurements associated with the subterranean formation obtained while drilling and the plurality of parameters to generate first results. Additionally, the example method includes processing measurements associated with the subterranean formation obtained while drilling is temporarily suspended and the plurality of parameters to generate second results and comparing the first and second results. Further, the example method includes, in response to the comparison of the first and second results, modifying the first results based on the second results to improve a quality of the first results.
    • 描述了用于处理与钻井操作相关的测量的方法和装置。 在地层钻井操作期间修改处理结果的示例性方法包括识别与钻井时获得的地下岩层相关联的多个参数和处理测量,以及多个参数以产生第一结果。 另外,示例性方法包括处理与临时停止钻井时获得的地下地层相关联的测量,以及多个参数以产生第二结果并比较第一和第二结果。 此外,示例方法包括响应于第一和第二结果的比较,基于第二结果修改第一结果以改善第一结果的质量。
    • 8. 发明授权
    • Automatic dispersion extraction of multiple time overlapped acoustic signals
    • 多重重叠声信号的自动色散提取
    • US08339897B2
    • 2012-12-25
    • US12644862
    • 2009-12-22
    • Shuchin AeronSandip BoseHenri-Pierre ValeroVenkatesh Saligrama
    • Shuchin AeronSandip BoseHenri-Pierre ValeroVenkatesh Saligrama
    • G01V1/50
    • G01V1/50G01V1/30G01V1/307G01V2210/00
    • Slowness dispersion characteristics of multiple possibly interfering signals in broadband acoustic waves as received by an array of two or more sensors are extracted without using a physical model. The problem of dispersion extraction is mapped to the problem of reconstructing signals having a sparse representation in an appropriately chosen over-complete dictionary of basis elements. A sparsity penalized signal reconstruction algorithm is described where the sparsity constraints are implemented by imposing a l1 norm type penalty. The candidate modes that are extracted are consolidated by means of a clustering algorithm to extract phase and group slowness estimates at a number of frequencies which are then used to reconstruct the desired dispersion curves. These estimates can be further refined by building time domain propagators when signals are known to be time compact, such as by using the continuous wavelet transform.
    • 在不使用物理模型的情况下提取由两个或更多个传感器的阵列接收的宽带声波中的多个可能干扰信号的慢度色散特性。 色散提取的问题被映射到在基本元素的适当选择的过完整字典中重建具有稀疏表示的信号的问题。 描述了稀疏惩罚信号重建算法,其中稀疏约束通过施加l1范数类型惩罚来实现。 提取的候选模式通过聚类算法进行合并,以提取多个频率的相位和组慢度估计,然后用于重建所需的色散曲线。 当已知信号是时间紧凑的,例如通过使用连续小波变换,可以通过构建时域传播器来进一步改进这些估计。