NMR T2 DISTRIBUTION FROM SIMULTANEOUS T1 AND T2 INVERSIONS FOR GEOLOGIC APPLICATIONS
    1.
    发明申请
    NMR T2 DISTRIBUTION FROM SIMULTANEOUS T1 AND T2 INVERSIONS FOR GEOLOGIC APPLICATIONS 审中-公开
    NMR T2分布与地质应用的同时T1和T2反演

    公开(公告)号:US20160320519A1

    公开(公告)日:2016-11-03

    申请号:US14701008

    申请日:2015-04-30

    IPC分类号: G01V3/32 E21B47/12 G01R33/561

    摘要: A method for estimating a property of a subsurface material includes conveying a carrier through a borehole penetrating the subsurface material and performing an NMR measurement in a volume of interest in the subsurface material using an NMR tool having an antenna disposed at the carrier. The method further includes receiving with the antenna a short build-up signal due to a short magnetization build-up time of the NMR measurement, an echo-train signal with short polarization time due to the NMR measurement, and an echo-train signal with long polarization time due to the NMR measurement. The method further includes inverting, simultaneously, the short build-up signal, the short-polarization-time echo-train signal, and the long-polarization-time echo-train signal using a processor to estimate the property; and transmitting a signal comprising the property to a signal receiving device.

    摘要翻译: 用于估计地下材料的性质的方法包括:使用具有布置在载体上的天线的NMR工具,将穿过穿透地下材料的钻孔的载体输送到地下材料中的感兴趣体积中的NMR测量。 该方法还包括由于NMR测量的较短的磁化积聚时间,利用天线接收短的积聚信号,由于NMR测量,具有短的极化时间的回波信号信号以及具有 由于NMR测量,极化时间长。 该方法还包括使用处理器同时反转短积累信号,短极化时间回波串信号和长极化时间回波串信号,以估计该性能; 以及将包括所述特性的信号发送到信号接收装置。

    Non-uniform echo train decimation
    3.
    发明授权
    Non-uniform echo train decimation 有权
    非均匀回波串抽取

    公开(公告)号:US08912916B2

    公开(公告)日:2014-12-16

    申请号:US13397462

    申请日:2012-02-15

    IPC分类号: G01V3/00

    CPC分类号: G01V1/40 G01V3/32

    摘要: Method and apparatus using at least one process to reduce a data set using a data adaptive down-sampling scheme comprising a plurality of non-uniform down-sampling factors. The method may include separating the data set into a plurality of data windows, where each of the plurality of data windows corresponds to one of the plurality of non-uniform data-sampling factors; applying the down-sampling factors, and transmitting the reduced data set from a downhole location to the surface. The data set may include an NMR echo train. The apparatus may include an NMR tool configured to acquire NMR data and at least one processor configured to perform the method.

    摘要翻译: 使用至少一个过程的方法和装置,使用包括多个非均匀下采样因子的数据自适应下采样方案来减少数据集。 该方法可以包括将数据集分离成多个数据窗口,其中多个数据窗口中的每一个对应于多个非均匀数据采样因子之一; 应用下采样因子,并将缩小的数据集从井下位置发送到地面。 数据集可以包括NMR回波串。 该装置可以包括被配置为获取NMR数据的NMR工具和被配置为执行该方法的至少一个处理器。

    METHOD AND SYSTEM TO CHARACTERIZE A PROPERTY OF AN EARTH FORMATION
    4.
    发明申请
    METHOD AND SYSTEM TO CHARACTERIZE A PROPERTY OF AN EARTH FORMATION 审中-公开
    表征地球物理性质的方法和系统

    公开(公告)号:US20130214779A1

    公开(公告)日:2013-08-22

    申请号:US13764862

    申请日:2013-02-12

    IPC分类号: G01V3/38 G06F17/11 G01V3/14

    摘要: A system and method of characterizing a property of an earth formation penetrated by a borehole are described. The method includes conveying a carrier through the borehole. The method also includes performing an NMR measurement with an NMR tool disposed at the carrier and obtaining NMR data, compressing the NMR data to generate compressed NMR data, and telemetering the compressed NMR data to a surface processor for processing. The method further includes decompressing the compressed NMR data directly to T1 or T2 domain distribution data, and determining the property of the earth formation based on the T1 or T2 domain distribution data.

    摘要翻译: 描述了一种表征钻孔穿透的地层的性质的系统和方法。 该方法包括通过钻孔传送载体。 该方法还包括使用设置在载体上的NMR工具进行NMR测量并获得NMR数据,压缩NMR数据以产生压缩的NMR数据,以及将压缩的NMR数据遥测到表面处理器进行处理。 该方法还包括将压缩的NMR数据直接解压缩到T1或T2域分布数据,以及基于T1或T2域分布数据确定地层的性质。

    NON-UNIFORM ECHO TRAIN DECIMATION
    5.
    发明申请
    NON-UNIFORM ECHO TRAIN DECIMATION 有权
    非均匀的ECHO火车减速

    公开(公告)号:US20130207814A1

    公开(公告)日:2013-08-15

    申请号:US13397462

    申请日:2012-02-15

    IPC分类号: G01V1/40

    CPC分类号: G01V1/40 G01V3/32

    摘要: Method and apparatus using at least one process to reduce a data set using a data adaptive down-sampling scheme comprising a plurality of non-uniform down-sampling factors. The method may include separating the data set into a plurality of data windows, where each of the plurality of data windows corresponds to one of the plurality of non-uniform data-sampling factors; applying the down-sampling factors, and transmitting the reduced data set from a downhole location to the surface. The data set may include an NMR echo train. The apparatus may include an NMR tool configured to acquire NMR data and at least one processor configured to perform the method.

    摘要翻译: 使用至少一个过程的方法和装置,使用包括多个非均匀下采样因子的数据自适应下采样方案来减少数据集。 该方法可以包括将数据集分离成多个数据窗口,其中多个数据窗口中的每一个对应于多个非均匀数据采样因子之一; 应用下采样因子,并将缩小的数据集从井下位置发送到地面。 数据集可以包括NMR回波串。 该装置可以包括被配置为获取NMR数据的NMR工具和被配置为执行该方法的至少一个处理器。

    Rock properties prediction, categorization, and recognition from NMR echo-trains using linear and nonlinear regression
    6.
    发明申请
    Rock properties prediction, categorization, and recognition from NMR echo-trains using linear and nonlinear regression 有权
    使用线性和非线性回归的NMR回波列车的岩石性质预测,分类和识别

    公开(公告)号:US20050206378A1

    公开(公告)日:2005-09-22

    申请号:US11084322

    申请日:2005-03-18

    IPC分类号: G01R33/44 G01V3/00 G01V3/32

    摘要: A partial least squares (PLS) regression relates spin echo signals with samples having a known parameter such as bound water (BW), clay bound water (CBW), bound volume irreducible (BVI), porosity (PHI) and effective porosity (PHE). The regression defines a predictive model that is validated and can then be applied to spin echo signals of unknown samples to directly give an estimate of the parameter of interest. The unknown samples may include earth formations in which a NMR sensor assembly is conveyed in a borehole.

    摘要翻译: 偏最小二乘法(PLS)回归将自旋回波信号与已知参数如结合水(BW),粘土结合水(CBW),结合体积不可约(BVI),孔隙率(PHI)和有效孔隙率(PHE) 。 回归定义了一个经过验证的预测模型,然后可以应用于未知样本的自旋回波信号,直接给出目标参数的估计。 未知的样品可以包括在钻孔中传送NMR传感器组件的地层。

    Rock properties prediction, categorization, and recognition from NMR echo-trains using linear and nonlinear regression
    10.
    发明授权
    Rock properties prediction, categorization, and recognition from NMR echo-trains using linear and nonlinear regression 有权
    使用线性和非线性回归的NMR回波列车的岩石性质预测,分类和识别

    公开(公告)号:US07495436B2

    公开(公告)日:2009-02-24

    申请号:US11084322

    申请日:2005-03-18

    IPC分类号: G01V3/00 G01R33/20

    摘要: A partial least squares (PLS) regression relates spin echo signals with samples having a known parameter such as bound water (BW), clay bound water (CBW), bound volume irreducible (BVI), porosity (PHI) and effective porosity (PHE). The regression defines a predictive model that is validated and can then be applied to spin echo signals of unknown samples to directly give an estimate of the parameter of interest. The unknown samples may include earth formations in which a NMR sensor assembly is conveyed in a borehole.

    摘要翻译: 偏最小二乘法(PLS)回归将自旋回波信号与已知参数如结合水(BW),粘土结合水(CBW),结合体积不可约(BVI),孔隙率(PHI)和有效孔隙率(PHE) 。 回归定义了一个经过验证的预测模型,然后可以应用于未知样本的自旋回波信号,直接给出目标参数的估计。 未知的样品可以包括在钻孔中传送NMR传感器组件的地层。