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1.发明授权公开(公告)号：US08355873B2
公开(公告)日：2013-01-15
申请号：US11288826
申请日：2005-11-29
申请人： Ali Mese , Syed Hamid , Dingding Chen , Harry D. Smith, Jr. , John Howard , Neal Skinner
发明人： Ali Mese , Syed Hamid , Dingding Chen , Harry D. Smith, Jr. , John Howard , Neal Skinner
IPC分类号： G01V9/00
CPC分类号： G01V11/00
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US07613665B2
公开(公告)日：2009-11-03
申请号：US11165892
申请日：2005-06-24
CPC分类号： G06N3/0454 , G06N3/086
摘要： 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.
摘要翻译： 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对数; 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。
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3.发明授权Neural network training data selection using memory reduced cluster analysis for field model development 失效使用内存的神经网络训练数据选择降低了现场模型开发的聚类分析公开(公告)号：US08374974B2
公开(公告)日：2013-02-12
申请号：US10393641
申请日：2003-03-21
申请人： Dingding Chen , John A. Quirein , Jacky M. Wiener , Jeffery L. Grable , Syed Hamid , Harry D. Smith, Jr.
发明人： Dingding Chen , John A. Quirein , Jacky M. Wiener , Jeffery L. Grable , Syed Hamid , Harry D. Smith, Jr.
CPC分类号： G06K9/6298 , G01V11/00 , G06N3/08
摘要： A system and method for selecting a training data set from a set of multidimensional geophysical input data samples for training a model to predict target data. The input data may be data sets produced by a pulsed neutron logging tool at multiple depth points in a cases well. Target data may be responses of an open hole logging tool. The input data is divided into clusters. Actual target data from the training well is linked to the clusters. The linked clusters are analyzed for variance, etc. and fuzzy inference is used to select a portion of each cluster to include in a training set. The reduced set is used to train a model, such as an artificial neural network. The trained model may then be used to produce synthetic open hole logs in response to inputs of cased hole log data.
摘要翻译： 一种用于从一组多维地球物理输入数据样本中选择训练数据集的系统和方法，用于训练模型以预测目标数据。 输入数据可以是在情况良好的多个深度点上由脉冲中子测井工具产生的数据集。 目标数据可能是露天测井工具的响应。 输入数据被分成簇。 来自训练井的实际目标数据与集群有关。 对链接的聚类进行方差分析等，并使用模糊推理来选择每个聚类的一部分以包括在训练集中。 缩减集用于训练模型，如人造神经网络。 然后可以使用经过训练的模型来响应于套管孔日志数据的输入而产生合成开孔日志。
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4.发明授权Genetic algorithm based selection of neural network ensemble for processing well logging data 有权基于遗传算法的神经网络集合选择，用于处理测井数据公开(公告)号：US07280987B2
公开(公告)日：2007-10-09
申请号：US10811403
申请日：2004-03-26
申请人： Dingding Chen , Syed Hamid , Harry D. Smith, Jr.
发明人： Dingding Chen , Syed Hamid , Harry D. Smith, Jr.
IPC分类号： G06E1/00
CPC分类号： G06N3/086
摘要： A system and method for generating a neural network ensemble. Conventional algorithms are used to train a number of neural networks having error diversity, for example by having a different number of hidden nodes in each network. A genetic algorithm having a multi-objective fitness function is used to select one or more ensembles. The fitness function includes a negative error correlation objective to insure diversity among the ensemble members. A genetic algorithm may be used to select weighting factors for the multi-objective function. In one application, a trained model may be used to produce synthetic open hole logs in response to inputs of cased hole log data.
摘要翻译： 一种用于生成神经网络集合的系统和方法。 常规算法用于训练具有错误分集的多个神经网络，例如通过在每个网络中具有不同数量的隐藏节点。 使用具有多目标适应度函数的遗传算法来选择一个或多个合奏。 适应度函数包括负误差相关目标，以确保集合成员之间的多样性。 可以使用遗传算法来选择多目标函数的加权因子。 在一个应用中，可以使用经过训练的模型来响应于套管孔日志数据的输入来产生合成的开孔日志。
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公开(公告)号：US08211284B2
公开(公告)日：2012-07-03
申请号：US12266293
申请日：2008-11-06
IPC分类号： C02F1/46
CPC分类号： B03C9/00 , B03C5/02 , B03C2201/02
摘要： A separating system for separating a fluid mixture incorporates a smart surface having reversibly switchable properties. A voltage is selectively applied to the smart surface to attract or repel constituents of a fluid mixture, such as oil and water produced from a hydrocarbon well. The smart surface can be used in a conditioner to increase droplet size prior to entering a conventional separator, or the smart surface and other elements of the invention can be incorporated into an otherwise conventional separator to enhance separation. In a related aspect, a concentration sensor incorporating smart surfaces senses concentration of the fluid mixture's constituents.
摘要翻译： 用于分离流体混合物的分离系统包括具有可逆切换特性的智能表面。 选择性地将电压施加到智能表面以吸引或排斥诸如由烃井产生的油和水的流体混合物的成分。 智能表面可以在调节剂中用于在进入常规分离器之前增加液滴尺寸，或者将本发明的智能表面和其它元件并入另外常规的分离器中以增强分离。 在相关方面，包含智能表面的浓度传感器感测流体混合物组分的浓度。
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公开(公告)号：US07823635B2
公开(公告)日：2010-11-02
申请号：US10924161
申请日：2004-08-23
CPC分类号： E21B43/385
摘要： A downhole oil and water separator for an oil well includes a water-selective membrane disposed in a production flowpath of the well. The water-selective membrane is operable to selectively pass water from the production flowpath to a disposal zone to increase the concentration of oil in the production flowpath at the surface.
摘要翻译： 用于油井的井下油水分离器包括设置在井的生产流路中的水选择性膜。 水选择性膜可操作以选择性地将水从生产流程传递到处理区域，以增加在表面处的生产流程中的油的浓度。
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7.发明授权Neural network based well log synthesis with reduced usage of radioisotopic sources 有权基于神经网络的井记录综合，减少放射性同位素来源的使用公开(公告)号：US07587373B2
公开(公告)日：2009-09-08
申请号：US11270284
申请日：2005-11-09
CPC分类号： G06N3/086 , G06N3/0454
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US08757256B2
公开(公告)日：2014-06-24
申请号：US11769640
申请日：2007-06-27
CPC分类号： E21B43/38 , B01D17/00 , B01D17/0214 , B01D17/0217 , B01D17/12 , B01D21/262 , B01D2221/04 , B04B1/00 , B04B9/10 , B04B11/02
摘要： An orbital downhole separator for separating well fluids into constituents of different specific gravities. Specifically, it is designed to separate water from oil or gas. The apparatus comprises a housing with a rotating member therein driven by a motor in the housing. Well fluid flows through the rotating member and is subjected to centrifugal force to separate the components. A flow conditioner is used to facilitate separation. The invention includes several different versions of the flow conditioner including an impeller, a stator and controllers for controlling the speed of the motor in response to signals related to the amount of petroleum in the water.
摘要翻译： 用于将井液分离成不同比重的成分的轨道井下分离器。 具体来说，它被设计成将水与油或气分开。 该装置包括壳体，其中旋转构件由壳体中的电动机驱动。 良好的流体流过旋转构件并经受离心力分离组件。 流动调节器用于促进分离。 本发明包括几种不同形式的流动调节器，其包括叶轮，定子和用于响应于与水中的石油量相关的信号来控制马达的速度的控制器。
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公开(公告)号：US08449750B2
公开(公告)日：2013-05-28
申请号：US13440281
申请日：2012-04-05
IPC分类号： C02F1/46
CPC分类号： B03C9/00 , B03C5/02 , B03C2201/02
摘要： A separating system for separating a fluid mixture incorporates a smart surface having reversibly switchable properties. A voltage is selectively applied to the smart surface to attract or repel constituents of a fluid mixture, such as oil and water produced from a hydrocarbon well. The smart surface can be used in a conditioner to increase droplet size prior to entering a conventional separator, or the smart surface and other elements of the invention can be incorporated into an otherwise conventional separator to enhance separation. In a related aspect, a concentration sensor incorporating smart surfaces senses concentration of the fluid mixture's constituents.
摘要翻译： 用于分离流体混合物的分离系统包括具有可逆切换特性的智能表面。 选择性地将电压施加到智能表面以吸引或排斥诸如由烃井产生的油和水的流体混合物的成分。 智能表面可以在调节剂中用于在进入常规分离器之前增加液滴尺寸，或者将本发明的智能表面和其它元件并入另外常规的分离器中以增强分离。 在相关方面，包含智能表面的浓度传感器感测流体混合物组分的浓度。
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公开(公告)号：US07462274B2
公开(公告)日：2008-12-09
申请号：US10883368
申请日：2004-07-01
IPC分类号： C02F1/461
CPC分类号： B03C9/00 , B03C5/02 , B03C2201/02
摘要： A separating system for separating a fluid mixture incorporates a smart surface having reversibly switchable properties. A voltage is selectively applied to the smart surface to attract or repel constituents of a fluid mixture, such as oil and water produced from a hydrocarbon well. The smart surface can be used in a conditioner to increase droplet size prior to entering a conventional separator, or the smart surface and other elements of the invention can be incorporated into an otherwise conventional separator to enhance separation. In a related aspect, a concentration sensor incorporating smart surfaces senses concentration of the fluid mixture's constituents.
摘要翻译： 用于分离流体混合物的分离系统包括具有可逆切换特性的智能表面。 选择性地将电压施加到智能表面以吸引或排斥诸如由烃井产生的油和水的流体混合物的成分。 智能表面可以在调节剂中用于在进入常规分离器之前增加液滴尺寸，或者将本发明的智能表面和其它元件并入另外常规的分离器中以增强分离。 在相关方面，包含智能表面的浓度传感器感测流体混合物组分的浓度。
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