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    • 1. 发明申请
    • TUBULAR EMBEDDED NOZZLE ASSEMBLY FOR CONTROLLING THE FLOW RATE OF FLUIDS DOWNHOLE
    • 用于控制流体流量流量的管状嵌入式喷嘴组件
    • WO2011126617A3
    • 2012-06-07
    • PCT/US2011026190
    • 2011-02-25
    • HALLIBURTON ENERGY SERV INCHAMID SYEDFRIPP MICHAEL LINLEYPATTON EDWARD JOHN
    • HAMID SYEDFRIPP MICHAEL LINLEYPATTON EDWARD JOHN
    • E21B41/00E21B43/24
    • E21B43/24E21B41/0078
    • An apparatus (100) for controlling the flow rate of a fluid during downhole operations. The apparatus (100) includes a tubular member (134) having a flow path (136) between inner and outer portions of the tubular member (134). The flow path (136) includes an inlet (138) in an inner sidewall (140) and an outlet (142) in an outer sidewall (144) of the tubular member (134). The inlet (138) and the outlet (142) are laterally offset from each other. A fluidic device (146) is positioned in the flow path (136) between the inlet (138) and the outlet (142). The fluidic device (146) is embedded within the tubular member (134) between the inner sidewall (140) and the outer sidewall (144). The fluidic device (146) includes a nozzle (154) having a throat portion (156) and a diffuser portion (158) such that fluid will flow through the nozzle (154) at a critical flow rate.
    • 一种用于在井下操作期间控制流体的流量的装置(100)。 装置(100)包括管状构件(134),其在管状构件(134)的内部和外部之间具有流动路径(136)。 流动路径(136)包括内侧壁(140)中的入口(138)和管状构件(134)的外侧壁(144)中的出口(142)。 入口(138)和出口(142)彼此横向偏移。 流体装置(146)位于入口(138)和出口(142)之间的流动路径(136)中。 流体装置(146)嵌入在内侧壁(140)和外侧壁(144)之间的管状构件(134)内。 流体装置(146)包括具有喉部(156)和扩散器部分(158)的喷嘴(154),使得流体将以临界流速流过喷嘴(154)。
    • 2. 发明申请
    • TUBULAR EMBEDDED NOZZLE ASSEMBLY FOR CONTROLLING THE FLOW RATE OF FLUIDS DOWNHOLE
    • 用于控制流体流量流量的管状嵌入式喷嘴组件
    • WO2011126617A2
    • 2011-10-13
    • PCT/US2011/026190
    • 2011-02-25
    • HALLIBURTON ENERGY SERVICES, INC.HAMID, SyedFRIPP, Michael, LinleyPATTON, Edward, John
    • HAMID, SyedFRIPP, Michael, LinleyPATTON, Edward, John
    • E21B43/12
    • E21B43/24E21B41/0078
    • An apparatus (100) for controlling the flow rate of a fluid during downhole operations. The apparatus (100) includes a tubular member (134) having a flow path (136) between inner and outer portions of the tubular member (134). The flow path (136) includes an inlet (138) in an inner sidewall (140) and an outlet (142) in an outer sidewall (144) of the tubular member (134). The inlet (138) and the outlet (142) are laterally offset from each other. A fluidic device (146) is positioned in the flow path (136) between the inlet (138) and the outlet (142). The fluidic device (146) is embedded within the tubular member (134) between the inner sidewall (140) and the outer sidewall (144). The fluidic device (146) includes a nozzle (154) having a throat portion (156) and a diffuser portion (158) such that fluid will flow through the nozzle (154) at a critical flow rate.
    • 一种用于在井下操作期间控制流体的流量的装置(100)。 设备(100)包括管状构件(134),其在管状构件(134)的内部和外部之间具有流动路径(136)。 流动路径(136)包括内侧壁(140)中的入口(138)和管状构件(134)的外侧壁(144)中的出口(142)。 入口(138)和出口(142)彼此横向偏移。 流体装置(146)位于入口(138)和出口(142)之间的流动路径(136)中。 流体装置(146)嵌入在内侧壁(140)和外侧壁(144)之间的管状构件(134)内。 流体装置(146)包括具有喉部(156)和扩散器部分(158)的喷嘴(154),使得流体将以临界流速流过喷嘴(154)。
    • 5. 发明申请
    • NEURAL-NETWORK BASED SURROGATE MODEL CONSTRUCTION METHODS AND APPLICATIONS THEREOF
    • 基于神经网络的现场建模方法及其应用
    • WO2008112921A1
    • 2008-09-18
    • PCT/US2008/056894
    • 2008-03-13
    • HALLIBURTON ENERGY SERVICES, INC.CHEN, DingdingZHONG, AllanHAMID, SyedSTEPHENSON, Stanley
    • CHEN, DingdingZHONG, AllanHAMID, SyedSTEPHENSON, Stanley
    • G06F17/00
    • G06N3/0454B33Y80/00
    • Various neural-network based surrogate model construction methods are disclosed herein, along with various applications of such models. Designed for use when only a sparse amount of data is available (a "sparse data condition"), some embodiments of the disclosed systems and methods: create a pool of neural networks trained on a first portion of a sparse data set; generate for each of various multi-objective functions a set of neural network ensembles that minimize the multi-objective function; select a local ensemble from each set of ensembles based on data not included in said first portion of said sparse data set; and combine a subset of the local ensembles to form a global ensemble. This approach enables usage of larger candidate pools, multi-stage validation, and a comprehensive performance measure that provides more robust predictions in the voids of parameter space.
    • 本文公开了各种基于神经网络的替代模型构建方法,以及这些模型的各种应用。 设计为仅在少量数据可用时使用(“稀疏数据条件”),所公开的系统和方法的一些实施例:创建在稀疏数据集的第一部分上训练的神经网络池; 为各种多目标函数中的每一个生成一组最小化多目标函数的神经网络集合; 基于不包括在所述稀疏数据集的所述第一部分中的数据,从每组集合中选择本地集合; 并组合一个本地组合的子集以形成全局集合。 这种方法使得可以使用更大的候选池,多级验证以及综合性能测量,从而在参数空间的空白中提供更强大的预测。