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    Method for reservoir characterization and monitoring including deep reading quad combo measurements
    3.
    发明授权
    Method for reservoir characterization and monitoring including deep reading quad combo measurements 有权
    储层表征和监测方法，包括深度读数四组合测量

    公开(公告)号：US08738341B2

    公开(公告)日：2014-05-27

    申请号：US12004792

    申请日：2007-12-21

    申请人： Tarek Habashy ,  R. K. Michael Thambynayagam ,  Aria Abubakar ,  Jeff Spath ,  Raj Banerjee

    发明人： Tarek Habashy ,  R. K. Michael Thambynayagam ,  Aria Abubakar ,  Jeff Spath ,  Raj Banerjee

    IPC分类号： G06G7/50 ,  G06G7/57 ,  G06G7/48

    CPC分类号： E21B43/00

    摘要： A method is disclosed for building a predictive or forward model adapted for predicting the future evolution of a reservoir, comprising: integrating together a plurality of measurements thereby generating an integrated set of deep reading measurements, the integrated set of deep reading measurements being sufficiently deep to be able to probe the reservoir and being self-sufficient in order to enable the building of a reservoir model and its associated parameters; generating a reservoir model and associated parameters in response to the set of deep reading measurements; and receiving, by a reservoir simulator, the reservoir model and, responsive thereto, generating, by the reservoir simulator, the predictive or forward model.

    摘要翻译： 公开了一种用于构建适于预测储存器的未来演变的预测或前向模型的方法，包括：将多个测量结合在一起，从而产生一组集成的深度读数测量，所述深度读数测量的集成集合足够深 能够探测储层并自给自足，以便建立储层模型及其相关参数; 响应于一组深度读数测量产生储层模型和相关参数; 并且通过储层模拟器接收储层模型，并且响应于此，由储层模拟器产生预测模型或正向模型。

    Method for reservoir characterization and monitoring including deep reading quad combo measurements
    5.
    发明申请
    Method for reservoir characterization and monitoring including deep reading quad combo measurements 有权
    储层表征和监测方法，包括深度读数四组合测量

    公开(公告)号：US20090164187A1

    公开(公告)日：2009-06-25

    申请号：US12004792

    申请日：2007-12-21

    申请人： Tarek Habashy ,  R.K. Michael Thambynayagam ,  Aria Abubakar ,  Jeff Spath ,  Raj Banerjee

    发明人： Tarek Habashy ,  R.K. Michael Thambynayagam ,  Aria Abubakar ,  Jeff Spath ,  Raj Banerjee

    IPC分类号： G06G7/50

    CPC分类号： E21B43/00

    摘要： A method is disclosed for building a predictive or forward model adapted for predicting the future evolution of a reservoir, comprising: integrating together a plurality of measurements thereby generating an integrated set of deep reading measurements, the integrated set of deep reading measurements being sufficiently deep to be able to probe the reservoir and being self-sufficient in order to enable the building of a reservoir model and its associated parameters; generating a reservoir model and associated parameters in response to the set of deep reading measurements; and receiving, by a reservoir simulator, the reservoir model and, responsive thereto, generating, by the reservoir simulator, the predictive or forward model.

    摘要翻译： 公开了一种用于构建适于预测储存器的未来演变的预测或前向模型的方法，包括：将多个测量结合在一起，从而产生一组集成的深度读数测量，所述深度读数测量的集成集合足够深 能够探测储层并自给自足，以便建立储层模型及其相关参数; 响应于一组深度读数测量产生储层模型和相关参数; 并且通过储层模拟器接收储层模型，并且响应于此，由储层模拟器产生预测模型或正向模型。

    Method for determining well productivity using automatic downtime data
    9.
    发明授权
    Method for determining well productivity using automatic downtime data 失效
    使用自动停机数据确定井的生产率的方法

    公开(公告)号：US5871047A

    公开(公告)日：1999-02-16

    申请号：US909558

    申请日：1997-08-12

    申请人： Jeff Spath ,  Joe M. Mach

    发明人： Jeff Spath ,  Joe M. Mach

    IPC分类号： E21B47/00

    CPC分类号： E21B47/00

    摘要： A method is presented to estimate the productivity index, PI, and the well condition, s, of a pumping well utilizing the knowledge of pump runtime versus downtime. Runtime and downtime may be constantly and automatically recorded and transmitted to a central location. A model runtime is computed assuming the two unknowns, PI and s. The model is then compared with the actual runtime data. A nonlinear optimization technique is used to search for the unknown parameters such that the differences between the measured data and the numerically simulated data are minimized in a least-squares fashion. The proposed estimation procedure is an economical and accurate method for monitoring the behavior of a well resevoir system during runtime.

    摘要翻译： 提出了一种利用泵运行时间与停机时间的知识来估计泵送井的生产率指数，PI和井条件s的方法。 运行时间和停机时间可能会不断自动记录并传输到中央位置。 假设两个未知数PI和s计算一个模型运行时间。 然后将该模型与实际运行时数据进行比较。 使用非线性优化技术来搜索未知参数，使得测量数据和数值模拟数据之间的差异以最小二乘法最小化。 所提出的估计过程是在运行时监测井底系统的行为的经济和准确的方法。

    Digital pressure derivative method and program storage device
    10.
    发明授权
    Digital pressure derivative method and program storage device 失效
    数字压力微分方法和程序存储装置

    公开(公告)号：US07107188B2

    公开(公告)日：2006-09-12

    申请号：US10411579

    申请日：2003-04-10

    申请人： Anthony Veneruso ,  Jeff Spath

    发明人： Anthony Veneruso ,  Jeff Spath

    IPC分类号： G06F15/00 ,  G06F17/40

    CPC分类号： G06F17/10 ,  E21B49/008 ,  G01V1/36 ,  G01V2210/32 ,  H03H17/06

    摘要： In a Digital Pressure Derivative Technique (DPDT) which uses convolution, an input signal including noise is convolved with a wavelet to produce an output signal which is a derivative of the input signal and which is substantially devoid of the noise. The DPDT can be used in many applications; however, in one such application, a pressure signal from a wellbore including noise is convolved with a special wavelet to produce an output signal which is the derivative of the input pressure signal, the output signal being substantially devoid of the noise. The wavelet is made from the unit sample response of a bandlimited, optimum linear phase Finite Impulse Response digital differentiator. The DPDT technique enables analysts to customize the differentiation based on the quality of the measured data without having to use traditional, subjective smoothing algorithms. The results presented here, in connection with the one such application mentioned above, bring significant improvements to the diagnosis and interpretation of pressure transient data, and interpretation techniques that utilize higher-order derivatives are now practical.

    摘要翻译： 在使用卷积的数字压力微分技术（DPDT）中，包括噪声的输入信号与小波卷积以产生作为输入信号的导数并且基本上没有噪声的输出信号。 DPDT可用于许多应用; 然而，在一个这样的应用中，来自包括噪声的井眼的压力信号与专用小波卷积以产生作为输入压力信号的导数的输出信号，输出信号基本上没有噪声。 小波由带通，最佳线性相位有限脉冲响应数字微分器的单位样本响应构成。 DPDT技术使分析师能够根据测量数据的质量定制差异化，而不必使用传统的主观平滑算法。 这里提出的结果与上述一个这样的应用相比，对压力瞬态数据的诊断和解释带来了显着的改进，而现在使用高阶导数的解释技术是实用的。