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    • 3. 发明申请
    • Well logging with reduced usage of radioisotopic sources
    • 测井记录减少放射性同位素来源的使用
    • US20070011115A1
    • 2007-01-11
    • US11270284
    • 2005-11-09
    • Harry SmithJohn QuireinJeffery GrableDingding Chen
    • Harry SmithJohn QuireinJeffery GrableDingding Chen
    • G06N3/02
    • G06N3/086G06N3/0454
    • Logging systems and methods are disclosed to reduce usage of radioisotopic sources. Some embodiments comprise collecting at least one output log of a training well bore from measurements with a radioisotopic source; collecting at least one input log of the training well bore from measurements by a non-radioisotopic logging tool; training a neural network to predict the output log from the at least one input log; collecting at least one input log of a development well bore from measurements by the non-radioisotopic logging tool; and processing the at least one input log of the development well bore to synthesize at least one output log of the development well bore. The output logs may include formation density and neutron porosity logs.
    • 公开了记录系统和方法以减少放射性同位素源的使用。 一些实施例包括从具有放射性同位素源的测量中收集训练井的至少一个输出日志; 从非放射性同位素测井工具的测量中收集训练井的至少一个输入日志; 训练神经网络以从至少一个输入日志预测输出日志; 从非放射性同位素测井工具的测量中收集开发井眼的至少一个输入日志; 以及处理所述开发井的所述至少一个输入对数以合成所述显影井的至少一个输出对数。 输出原木可包括地层密度和中子孔隙度日志。
    • 4. 发明申请
    • Ensembles of neural networks with different input sets
    • 具有不同输入集的神经网络的集合
    • US20070011114A1
    • 2007-01-11
    • US11165892
    • 2005-06-24
    • Dingding ChenJohn QuireinHarry SmithSyed HamidJeffery Grable
    • Dingding ChenJohn QuireinHarry SmithSyed HamidJeffery Grable
    • G06N3/02
    • G06N3/0454G06N3/086
    • Methods of creating and using robust neural network ensembles are disclosed. Some embodiments take the form of computer-based methods that comprise receiving a set of available inputs; receiving training data; training at least one neural network for each of at least two different subsets of the set of available inputs; and providing at least two trained neural networks having different subsets of the available inputs as components of a neural network ensemble configured to transform the available inputs into at least one output. The neural network ensemble may be applied as a log synthesis method that comprises: receiving a set of downhole logs; applying a first subset of downhole logs to a first neural network to obtain an estimated log; applying a second, different subset of the downhole logs to a second neural network to obtain an estimated log; and combining the estimated logs to obtain a synthetic log.
    • 公开了创建和使用鲁棒神经网络集合的方法。 一些实施例采用基于计算机的方法的形式,其包括接收一组可用输入; 接收培训数据; 为所述一组可用输入中的至少两个不同子集中的每一个训练至少一个神经网络; 以及提供至少两个经训练的神经网络,其具有可用输入的不同子集,作为被配置为将可用输入转换成至少一个输出的神经网络集合的组件。 神经网络集合可以作为对数合成方法应用,包括:接收一组井下测井; 将第一个井下日志子集应用于第一神经网络以获得估计的日志; 将第二个不同的井下日志子集应用于第二神经网络以获得估计的对数; 并组合估计的日志以获得合成日志。
    • 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。