PROGRESSIVE CAVITY COMPRESSOR
    2.
    发明申请
    PROGRESSIVE CAVITY COMPRESSOR 有权
    先进的压缩机

    公开(公告)号:US20110174010A1

    公开(公告)日:2011-07-21

    申请号:US12796214

    申请日:2010-06-08

    IPC分类号: F25D9/00 F01C1/10 F04C15/00

    摘要: A new type of progressive cavity compressor is intended primarily for 3 to 10 ton vapor-cycle air conditioning systems. Major working section elements include a rotor, a stator, inlet ports, an outlet endplate, and outlet check valves. The helical rotor is driven in an eccentric orbital path inside the helical stator. In the preferred embodiment, the rotor and stator helices have varying (non-uniform) pitch in the working section. Rotor-stator running clearances are tight, to minimize leakage. Two outlet check valves regulate refrigerant discharge flow and pressure. Efficient compression is provided over a wide range of compression ratios, corresponding to a wide range of ambient temperatures in an air conditioning application. The invention can improve the energy efficiency of air conditioning systems, especially at off-design conditions.

    摘要翻译: 一种新型渐进式压缩机主要用于3至10吨蒸气循环空调系统。 主要工作部件包括转子,定子,入口端口,出口端板和出口止回阀。 螺旋转子在螺旋定子内的偏心轨道中被驱动。 在优选实施例中,转子和定子螺旋在工作部分中具有变化(非均匀)间距。 转子定子运行间隙很紧,以减少泄漏。 两个出口止回阀调节制冷剂排放流量和压力。 在宽范围的压缩比范围内提供有效的压缩,对应于空调应用中的宽范围的环境温度。 本发明可以提高空调系统的能源效率,特别是在非设计条件下。

    Field/reservoir optimization utilizing neural networks
    3.
    发明授权
    Field/reservoir optimization utilizing neural networks 失效
    利用神经网络的场/储层优化

    公开(公告)号:US06901391B2

    公开(公告)日:2005-05-31

    申请号:US10051323

    申请日:2002-01-18

    IPC分类号: E21B41/00 E21B43/00 G06F15/18

    摘要: A method of optimizing performance of a well system utilizes a neural network. In a described embodiment, the method includes the step of accumulating data indicative of the performance of the well system in response to variable influencing parameters. The data is used to train a neural network to model an output of the well system in response to the influencing parameters. An output of the neural network may then be input to a valuing model, e.g., to permit optimization of a value of the well system. The optimization process yields a set of prospective influencing parameters which may be incorporated into the well system to maximize its value.

    摘要翻译: 优化井系统性能的方法利用神经网络。 在所描述的实施例中,该方法包括响应于可变影响参数累积指示井系统的性能的数据的步骤。 该数据用于训练神经网络以响应于影响参数对井系统的输出进行建模。 然后神经网络的输出可以被输入到估价模型,例如,以允许井系统的值的优化。 优化过程产生一组预期的影响参数,其可以并入井系统以使其值最大化。

    Progressive cavity compressor having check valves on the discharge endplate
    4.
    发明授权
    Progressive cavity compressor having check valves on the discharge endplate 有权
    进气腔压缩机在排气端板上具有止回阀

    公开(公告)号:US08083508B2

    公开(公告)日:2011-12-27

    申请号:US12796214

    申请日:2010-06-08

    摘要: A new type of progressive cavity compressor is intended primarily for 3 to 10 ton vapor-cycle air conditioning systems. Major working section elements include a rotor, a stator, inlet ports, an outlet endplate, and outlet check valves. The helical rotor is driven in an eccentric orbital path inside the helical stator. In the preferred embodiment, the rotor and stator helices have varying (non-uniform) pitch in the working section. Rotor-stator running clearances are tight, to minimize leakage. Two outlet check valves regulate refrigerant discharge flow and pressure. Efficient compression is provided over a wide range of compression ratios, corresponding to a wide range of ambient temperatures in an air conditioning application. The invention can improve the energy efficiency of air conditioning systems, especially at off-design conditions.

    摘要翻译: 一种新型渐进式压缩机主要用于3至10吨蒸气循环空调系统。 主要工作部件包括转子,定子,入口端口,出口端板和出口止回阀。 螺旋转子在螺旋定子内的偏心轨道中被驱动。 在优选实施例中,转子和定子螺旋在工作部分中具有变化(非均匀)间距。 转子定子运行间隙很紧,以减少泄漏。 两个出口止回阀调节制冷剂排放流量和压力。 在宽范围的压缩比范围内提供有效的压缩,对应于空调应用中的宽范围的环境温度。 本发明可以提高空调系统的能源效率,特别是在非设计条件下。

    Downhole sensing and flow control utilizing neural networks
    5.
    发明授权
    Downhole sensing and flow control utilizing neural networks 有权
    利用神经网络的井下感知和流量控制

    公开(公告)号:US06789620B2

    公开(公告)日:2004-09-14

    申请号:US10076960

    申请日:2002-02-15

    IPC分类号: E21B4700

    摘要: Methods are provided for downhole sensing and flow control utilizing neural networks. In a described embodiment, a temporary sensor is positioned downhole with a permanent sensor. Outputs of the temporary and permanent sensors are recorded as training data sets. A neural network is trained using the training data sets. When the temporary sensor is no longer present or no longer operational in the well, the neural network is capable of determining the temporary sensor's output in response to the input to the neural network of the permanent sensor's output.

    摘要翻译: 提供了使用神经网络的井下感测和流量控制的方法。 在所描述的实施例中,临时传感器被定位在井下与永久传感器之间。 临时和永久传感器的输出记录为训练数据集。 使用训练数据集训练神经网络。 当临时传感器不再存在或在井中不再可操作时,神经网络能够响应于永久传感器输出的神经网络的输入来确定临时传感器的输出。

    Sonic gas pressure gauge
    6.
    发明授权
    Sonic gas pressure gauge 失效
    声波气压表

    公开(公告)号:US4869097A

    公开(公告)日:1989-09-26

    申请号:US171980

    申请日:1988-03-23

    IPC分类号: G01L11/04

    CPC分类号: G01L11/04

    摘要: A method and an apparatus are provided for measuring the pressure of a gas within a sealed vessel. A sonic transducer is used to apply an oscillating force to the surface of the vessel. The frequency of the ultrasonic wave is swept through a range which causes resonant vibration of the gas in the vessel. A receiving transducer measures the amplitude of the resultant vibration at the vessel surface and reveals the resonant frequency of the gas as peaks in the amplitude of the sweep. The resonant frequency obtained depends upon the composition of the gas, its pressure and temperature, and the shape of the confining vessel. These relationships can be predetermined empirically so that the pressure inside the vessel can be calculated when the composition of the gas, its temperature, and shape of the confining vessel are known. The output of the receiver is fed into a computer which is programmed to calculate the pressure based upon these predetermined relationships which are stored in the computer.

    摘要翻译: 提供了一种用于测量密封容器内的气体的压力的方法和装置。 使用声音换能器将振荡力施加到容器的表面。 超声波的频率被扫过引起容器中的气体的共振振动的范围。 接收传感器测量在容器表面处产生的振动的振幅,并将气体的共振频率显示为扫描振幅的峰值。 获得的共振频率取决于气体的组成,其压力和温度以及限制容器的形状。 这些关系可以经验地确定,使得当气体的组成,其温度和限制容器的形状是已知的时,可以计算容器内的压力。 接收机的输出被馈送到计算机中,该计算机被编程为基于存储在计算机中的这些预定关系来计算压力。

    Dynamically adjustable linear data discriminator
    7.
    发明授权
    Dynamically adjustable linear data discriminator 失效
    动态可调线性数据鉴别器

    公开(公告)号:US4718027A

    公开(公告)日:1988-01-05

    申请号:US792100

    申请日:1985-10-28

    CPC分类号: E21B47/00

    摘要: A method of discriminating between linear and nonlinear regions of measured data is based upon two hypotheses, one of which is a hypothesis that a response is merely a result of inherent randomness and the other of which is a hypothesis that the response is a result of a true nonlinear change greater than a value M. It is also based upon a relative cost between accepting the latter hypothesis when the former is true versus accepting the former hypothesis when the latter is true. A resulting probabilistic criterion (M/2)+(.sigma..sup.2 /M) [1n(P.sub.H0 /P.sub.H1)C] is graphically implemented for deriving offset values which can be used in a specific embodiment to construct tabular values defining linear/nonlinear regions from a presumed hypothetical straight line response.

    摘要翻译: 区分测量数据的线性和非线性区域的方法基于两个假设,其中一个假设是响应仅仅是固有随机性的结果,另一个假设是响应是由 真正的非线性变化大于值M.它还基于当前者为真时接受后一假设的相对成本,而当后者为真时接受前者的假设。 图形地实现了得到的概率标准(M / 2)+(sigma2 / M)[1n(PH0 / PH1)C],用于导出偏移值,其可以在特定实施例中用于构建定义线性/非线性区域的表格值 假定的直线反应。