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    • 1. 发明授权
    • System and method of predicting gas saturation of a formation using neural networks
    • 使用神经网络预测地层气饱和度的系统和方法
    • US08898045B2
    • 2014-11-25
    • US13146437
    • 2009-04-21
    • Dingding ChenWeijun GuoLarry A. Jacobson
    • Dingding ChenWeijun GuoLarry A. Jacobson
    • G06E1/00G01V5/12
    • G01V5/125
    • Predicting gas saturation of a formation using neural networks. At least some of the illustrative embodiments include obtaining a gamma count rate decay curve one each for a plurality of gamma detectors of a nuclear logging tool (the gamma count rate decay curves recorded at a particular borehole depth), applying at least a portion of each gamma count rate decay curve to input nodes of a neural network, predicting a value indicative of gas saturation of a formation (the predicting by the neural network in the absence of a formation porosity value supplied to the neural network), and producing a plot of the value indicative of gas saturation of the formation as a function of borehole depth.
    • 使用神经网络预测地层的气体饱和度。 至少一些示例性实施例包括获得针对核测井工具的多个伽马检测器(在特定钻孔深度处记录的伽马计数速率衰减曲线)中的伽马计数率衰减曲线,每个伽马计数率衰减曲线应用至少一部分每个 伽马计数速率衰减曲线到神经网络的输入节点,预测指示地层的气体饱和度的值(在没有提供给神经网络的地层孔隙度值的情况下由神经网络预测),并且产生 表示地层气体饱和度的值作为钻孔深度的函数。
    • 2. 发明申请
    • SYSTEM AND METHOD OF PREDICTING GAS SATURATION OF A FORMATION USING NEURAL NETWORKS
    • 使用神经网络预测气体饱和度的系统和方法
    • US20110282818A1
    • 2011-11-17
    • US13146437
    • 2009-04-21
    • Dingding ChenWeijun GuoLarry A. Jacobson
    • Dingding ChenWeijun GuoLarry A. Jacobson
    • G06N3/02
    • G01V5/125
    • Predicting gas saturation of a formation using neural networks. At least some of the illustrative embodiments include obtaining a gamma count rate decay curve one each for a plurality of gamma detectors of a nuclear logging tool (the gamma count rate decay curves recorded at a particular borehole depth), applying at least a portion of each gamma count rate decay curve to input nodes of a neural network, predicting a value indicative of gas saturation of a formation (the predicting by the neural network in the absence of a formation porosity value supplied to the neural network), and producing a plot of the value indicative of gas saturation of the formation as a function of borehole depth.
    • 使用神经网络预测地层的气体饱和度。 至少一些示例性实施例包括获得针对核测井工具的多个伽马检测器(在特定钻孔深度处记录的伽马计数速率衰减曲线)中的伽马计数率衰减曲线,每个伽马计数率衰减曲线应用至少一部分每个 伽马计数速率衰减曲线到神经网络的输入节点,预测指示地层的气体饱和度的值(在没有提供给神经网络的地层孔隙度值的情况下由神经网络预测),并且产生 表示地层气体饱和度的值作为钻孔深度的函数。
    • 6. 发明申请
    • Apparatus and Method for Pulse Testing a Formation
    • 用于脉冲测试形成的装置和方法
    • US20150176403A1
    • 2015-06-25
    • US14403079
    • 2012-06-13
    • Dingding ChenMark A. ProettChristopher Michael JonesAbdolhamid Hadibeik
    • Dingding ChenMark A. ProettChristopher Michael JonesAbdolhamid Hadibeik
    • E21B49/00E21B47/06
    • E21B49/008E21B47/06
    • A system for pressure testing a formation includes a downhole tool configured to measure formation pressure, storage containing pressure parameters of a plurality of simulated formation pressure tests, and a formation pressure test controller coupled to the downhole tool and the storage. For each of a plurality of sequential pressure testing stages of a formation pressure test, the formation pressure test controller 1) retrieves formation pressure measurements from the downhole tool; 2) identifies one of the plurality of simulated formation pressure tests comprising pressure parameters closest to corresponding formation pressure values derived from the formation pressure measurements; and 3) determines a flow rate to apply by the downhole tool in a next stage of the test based on the identified one of the plurality of simulated formation pressure tests.
    • 用于对地层进行压力测试的系统包括被配置为测量地层压力的井下工具,包含多个模拟地层压力测试的压力参数的储存器以及耦合到井下工具和储存器的地层压力测试控制器。 对于地层压力试验的多个连续压力试验阶段中的每一个,地层压力试验控制器1)从井下工具检索地层压力测量值; 2)识别多个模拟地层压力测试中的一个,其包括最接近从地层压力测量得出的对应地层压力值的压力参数; 以及3)基于所述多个模拟地层压力测试中的所述一个确定在所述测试的下一阶段中确定由所述井下工具施加的流量。
    • 7. 发明授权
    • Method of reservoir characterization and delineation based on observations of displacements at the earth's surface
    • 基于地球表面位移观测的储层表征和描绘方法
    • US08355873B2
    • 2013-01-15
    • US11288826
    • 2005-11-29
    • Ali MeseSyed HamidDingding ChenHarry D. Smith, Jr.John HowardNeal Skinner
    • Ali MeseSyed HamidDingding ChenHarry D. Smith, Jr.John HowardNeal Skinner
    • G01V9/00
    • G01V11/00
    • Reservoir characterization based on observations of displacements at the earth's surface. One method of characterizing a reservoir includes the steps of: detecting a response of the reservoir to a stimulus, the stimulus causing a pressure change in the reservoir; and determining a characteristic of the reservoir from the response to the stimulus. The response may be the pressure change which varies periodically over time, or a set of displacements of a surface of the earth. In another example, a method includes the steps of: detecting a set of displacements of the earth's surface corresponding to a pressure change in the reservoir; and determining a characteristic of the reservoir from the surface displacements. In yet another example, a method includes the steps of: detecting a set of displacements of the earth's surface corresponding to a change in volume of the reservoir; and determining a characteristic of the reservoir from the surface displacements.
    • 基于地球表面位移观测的油藏特征。 表征储层的一种方法包括以下步骤:检测储层对刺激的响应,所述刺激导致储层中的压力变化; 以及从所述刺激的响应确定所述储层的特性。 响应可以是随时间周期性地变化的压力变化或地球表面的一组位移。 在另一示例中,一种方法包括以下步骤:检测对应于储层中的压力变化的地球表面的一组位移; 以及从表面位移确定储层的特征。 在又一示例中,一种方法包括以下步骤:检测对应于储层体积变化的地球表面的一组位移; 以及从表面位移确定储层的特征。
    • 9. 发明申请
    • Method of reservoir characterization and delineation based on observations of displacements at the earth's surface
    • 基于地球表面位移观测的储层表征和描绘方法
    • US20070124079A1
    • 2007-05-31
    • US11288826
    • 2005-11-29
    • Ali MeseSyed HamidDingding ChenHarry SmithJohn HowardNeal Skinner
    • Ali MeseSyed HamidDingding ChenHarry SmithJohn HowardNeal Skinner
    • G01N15/08G01V1/40
    • G01V11/00
    • Reservoir characterization based on observations of displacements at the earth's surface. One method of characterizing a reservoir includes the steps of: detecting a response of the reservoir to a stimulus, the stimulus causing a pressure change in the reservoir; and determining a characteristic of the reservoir from the response to the stimulus. The response may be the pressure change which varies periodically over time, or a set of displacements of a surface of the earth. In another example, a method includes the steps of: detecting a set of displacements of the earth's surface corresponding to a pressure change in the reservoir; and determining a characteristic of the reservoir from the surface displacements. In yet another example, a method includes the steps of: detecting a set of displacements of the earth's surface corresponding to a change in volume of the reservoir; and determining a characteristic of the reservoir from the surface displacements.
    • 基于地球表面位移观测的油藏特征。 表征储层的一种方法包括以下步骤:检测储层对刺激的响应,所述刺激导致储层中的压力变化; 以及从所述刺激的响应确定所述储层的特性。 响应可以是随时间周期性地变化的压力变化或地球表面的一组位移。 在另一示例中,一种方法包括以下步骤:检测对应于储层中的压力变化的地球表面的一组位移; 以及从表面位移确定储层的特征。 在又一示例中,一种方法包括以下步骤:检测对应于储层体积变化的地球表面的一组位移; 以及从表面位移确定储层的特征。