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1. 发明申请

WO2010017300A1 SYSTEMS AND METHODS EMPLOYING COOPERATIVE OPTIMIZATION-BASED DIMENSIONALITY REDUCTION 审中-公开
标题翻译：基于合作优化的尺寸减少的系统和方法
公开(公告)号：WO2010017300A1
公开(公告)日：2010-02-11
申请号：PCT/US2009/052860
申请日：2009-08-05
申请人： HALLIBURTON ENERGY SERVICES, INC. , CHEN, Dingding , HAMID, Syed , DIX, Michael, C.
发明人： CHEN, Dingding , HAMID, Syed , DIX, Michael, C.
IPC分类号： G01V1/40
CPC分类号： G01V1/34 , G06N3/126 , G06T11/206
摘要： Dimensionality reduction systems and methods facilitate visualization, understanding, and interpretation of high-dimensionality data sets, so long as the essential information of the data set is preserved during the dimensionality reduction process. In some of the disclosed embodiments, dimensionality reduction is accomplished using clustering, evolutionary computation of low-dimensionality coordinates for cluster kernels, particle swarm optimization of kernel positions, and training of neural networks based on the kernel mapping. The fitness function chosen for the evolutionary computation and particle swarm optimization is designed to preserve kernel distances and any other information deemed useful to the current application of the disclosed techniques, such as linear correlation with a variable that is to be predicted from future measurements. Various error measures are suitable and can be used.
摘要翻译：只要在维度降低过程中保留数据集的基本信息，尺寸减小系统和方法便于高维数据集的可视化，理解和解释。在一些所公开的实施例中，使用聚类，集群内核的低维度坐标的进化计算，核心位置的粒子群优化以及基于内核映射的神经网络的训练来实现维数降低。为进化计算和粒子群优化选择的适应度函数被设计为保留核心距离以及被认为对所公开技术的当前应用有用的任何其它信息，例如与将来的测量将要预测的变量的线性相关。各种错误措施是合适的，可以使用。

2. 发明申请

WO2007001731A2 ENSEMBLES OF NEURAL NETWORKS WITH DIFFERENT INPUT SETS 审中-公开
标题翻译：具有不同输入集的神经网络的识别
公开(公告)号：WO2007001731A2
公开(公告)日：2007-01-04
申请号：PCT/US2006/021158
申请日：2006-06-01
申请人： HALLIBURTON ENERGY SERVICES, INC. , CHEN, Dingding , QUIREIN, John, A. , SMITH, Harry, D. , HAMID, Syed , GRABLE, Jeffery, L.
发明人： CHEN, Dingding , QUIREIN, John, A. , SMITH, Harry, D. , HAMID, Syed , GRABLE, Jeffery, L.
IPC分类号： G06N3/02
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。

3. 发明申请

WO2011002473A1 ESTIMATING MINERAL CONTENT USING GEOCHEMICAL DATA 审中-公开
标题翻译：使用地球化学数据估算矿物含量
公开(公告)号：WO2011002473A1
公开(公告)日：2011-01-06
申请号：PCT/US2009/055189
申请日：2009-08-27
申请人： HALLIBURTON ENERGY SERVICES , CHEN, Dingding , HAMID, Syed , DIX, Michael, C.
发明人： CHEN, Dingding , HAMID, Syed
IPC分类号： G06F7/60
CPC分类号： G01V11/00
摘要： A model is disclosed that includes an intelligent linear programming ("ILP") member to produce a ILP result, a member selected from the group consisting of a feed-forward neural network ("FNN") to produce a FNN result and a geochemical normative analysis ("GNA") model to produce a GNA result. The model also includes a result generator to combine the ILP result with the result from the other member to produce the estimates of the mineral content of the sample.
摘要翻译：公开了一种模型，其包括用于产生ILP结果的智能线性规划（“ILP”）成员，选自前馈神经网络（“FNN”）的成员以产生FNN结果和地球化学规范分析（“GNA”）模型来产生GNA结果。该模型还包括结果发生器，将ILP结果与其他成员的结果相结合，以产生样品矿物质含量的估计值。

4. 发明申请

WO2008112921A1 NEURAL-NETWORK BASED SURROGATE MODEL CONSTRUCTION METHODS AND APPLICATIONS THEREOF 审中-公开
标题翻译：基于神经网络的现场建模方法及其应用
公开(公告)号：WO2008112921A1
公开(公告)日：2008-09-18
申请号：PCT/US2008/056894
申请日：2008-03-13
申请人： HALLIBURTON ENERGY SERVICES, INC. , CHEN, Dingding , ZHONG, Allan , HAMID, Syed , STEPHENSON, Stanley
发明人： CHEN, Dingding , ZHONG, Allan , HAMID, Syed , STEPHENSON, Stanley
IPC分类号： G06F17/00
CPC分类号： G06N3/0454 , B33Y80/00
摘要： 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.
摘要翻译：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。

5. 发明申请

WO2007067824A2 METHOD OF RESERVOIR CHARACTERIZATION AND DELINEATION BASED ON OBSERVATIONS OF DISPLACEMENTS AT THE EARTH'S SURFACE 审中-公开
标题翻译：基于地球表面位移观测的储层特征和分类方法
公开(公告)号：WO2007067824A2
公开(公告)日：2007-06-14
申请号：PCT/US2006/060015
申请日：2006-10-16
申请人： HALLIBURTON ENERGY SERVICES, INC. , MESE, Ali , HAMID, Syed , CHEN, Dingding , SMITH, Harry, D. , HOWARD, John , SKINNER, Neal
发明人： MESE, Ali , HAMID, Syed , CHEN, Dingding , SMITH, Harry, D. , HOWARD, John , SKINNER, Neal
IPC分类号： G01N15/08 , G01V1/40
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。

6. 发明申请

WO2005098647A2 GENETIC ALGORITHM BASED SELECTION OF NEURAL NETWORK ENSEMBLE FOR PROCESSING WELL LOGGING DATA 审中-公开
标题翻译：基于遗传算法的神经网络选择ENSEMBLE用于处理井记录数据
公开(公告)号：WO2005098647A2
公开(公告)日：2005-10-20
申请号：PCT/US2005/009494
申请日：2005-03-22
申请人： HALLIBURTON ENERGY SERVICES, INC. , CHEN, Dingding , HAMID, Syed , SMITH, Harry, D., Jr.
发明人： CHEN, Dingding , HAMID, Syed , SMITH, Harry, D., Jr.
IPC分类号： G06F15/18
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。

7. 发明申请

WO2007062357A3 REAL-TIME MANAGEMENT SYSTEM FOR SLICKLINE/WIRELINE 审中-公开
公开(公告)号：WO2007062357A3
公开(公告)日：2007-05-31
申请号：PCT/US2006/061116
申请日：2006-11-20
申请人： HALLIBURTON ENERGY SERVICES, INC. , DE JESUS, Orlando , MINEO, Richard , FOSTER, Jerry, Clinton , HAMID, Syed
发明人： DE JESUS, Orlando , MINEO, Richard , FOSTER, Jerry, Clinton , HAMID, Syed
IPC分类号： G01L5/04
摘要： A real-time line management system and associated methods. Aline management system for use in conjunction with an operation in a subterranean well includes a line installed in the well during the operation, and a computing device which indicates a used life of the line during the operation. A method of managing a line used in an operation in a subterranean well includes the steps of: installing the line in the well during the operation; and determining a used life of the line while the line is installed in the well. A method of managing a line used in multiple operations in one or more subterranean wells includes the steps of: estimating conditions which will be experienced by the line during a future operation; and predicting before the future operation what a used life of the line will be after the line is used in the future operation.

8. 发明申请

WO2010117724A3 WELL SCREENS CONSTRUCTED UTILIZING PRE-FORMED ANNULAR ELEMENTS 审中-公开
公开(公告)号：WO2010117724A3
公开(公告)日：2010-10-14
申请号：PCT/US2010/029053
申请日：2010-03-29
申请人： HALLIBURTON ENERGY SERVICES, INC. , FRIPP, Michael, L. , SIMONDS, Floyd, R. , LOPEZ, Jean-Marc , HAMID, Syed , KYLE, Donald, G. , DYKSTRA, Jason
发明人： FRIPP, Michael, L. , SIMONDS, Floyd, R. , LOPEZ, Jean-Marc , HAMID, Syed , KYLE, Donald, G. , DYKSTRA, Jason
IPC分类号： E21B43/08 , E21B43/12
摘要： Construction of well screens utilizing pre-formed annular-shaped elements. A well screen includes a filter layer configured to filter fluid flowing through the well screen and a drainage layer which radially supports the filter layer, the drainage layer including multiple individual annular-shaped elements. Another well screen includes a drainage layer configured to support the filter layer, with the drainage layer including at least one cavity molded therein. Another well screen includes a base pipe and a layer made up of multiple individual annular-shaped elements stacked coaxially on the base pipe. A cavity is formed in at least one of the elements.

9. 发明申请

WO2011022210A2 FLOW PATH CONTROL BASED ON FLUID CHARACTERISTICS TO THEREBY VARIABLY RESIST FLOW IN A SUBTERRANEAN WELL 审中-公开
标题翻译：基于流体特性的流动路径控制，可以在下层井中具有可变的阻力流
公开(公告)号：WO2011022210A2
公开(公告)日：2011-02-24
申请号：PCT/US2010/044409
申请日：2010-08-04
申请人： HALLIBURTON ENERGY SERVICES, INC. , DYKSTRA, Jason, D. , FRIPP, Michael, L. , HAMID, Syed
发明人： DYKSTRA, Jason, D. , FRIPP, Michael, L. , HAMID, Syed
IPC分类号： E21B43/12 , E21B43/08 , E21B43/16
CPC分类号： E21B34/08 , E21B43/12 , Y10T137/2065 , Y10T137/2098 , Y10T137/2104 , Y10T137/2125 , Y10T137/2245
摘要： A system for variably resisting flow of a fluid composition can include a flow passage and a set of one or more branch passages which intersect the flow passage, whereby a proportion of the fluid composition diverted from the passage to the set of branch passages varies based on at least one of a) viscosity of the fluid composition, and b) velocity of the fluid composition in the flow passage. Another variable flow resistance system can include a flow path selection device that selects which of multiple flow paths a majority of fluid flows through from the device, based on a ratio of desired fluid to undesired fluid in the fluid composition. Yet another variable flow resistance system can include a flow chamber, with a majority of the fluid composition entering the chamber in a direction which changes based on a ratio of desired fluid to undesired fluid in the fluid composition.
摘要翻译：用于可变地抵抗流体组合物的流动的系统可以包括流动通道和与流动通道相交的一组或多个分支通道的集合，由此，从通道转移到该组分支通道的流体组分的一部分基于 a）流体组合物的粘度中的至少一个，和b）流动通道中流体组合物的速度。另一个可变流阻系统可以包括流路选择装置，该流路选择装置基于流体组合物中期望的流体与不期望的流体的比例来选择多数流体流过装置的多个流动路径中的哪一个。另一个可变流阻系统可以包括流动室，其中大部分流体组合物以基于所需流体与流体组合物中的不期望流体的比例而变化的方向进入腔室。

10. 发明申请

WO2010082975A1 SYSTEM AND METHOD FOR COMPLETION OPTIMIZATION 审中-公开
标题翻译：用于完成优化的系统和方法
公开(公告)号：WO2010082975A1
公开(公告)日：2010-07-22
申请号：PCT/US2009/066043
申请日：2009-11-30
申请人： HALLIBURTON ENERGY SERVICES, INC. , DYKSTRA, Jason, D. , SCHWENDEMANN, Kenneth, L. , DEJESUS, Orlando , FRIPP, Michael, L. , HAMID, Syed , GRIGSBY, Tommy, F.
发明人： DYKSTRA, Jason, D. , SCHWENDEMANN, Kenneth, L. , DEJESUS, Orlando , FRIPP, Michael, L. , HAMID, Syed , GRIGSBY, Tommy, F.
IPC分类号： E21B47/09
CPC分类号： E21B47/04 , E21B43/04 , E21B47/06 , E21B47/09
摘要： A system for completing a wellbore (38) having multiple zones. The system includes a completion (42) having a plurality of landing points defined therein positioned within the wellbore (38). A service tool is axially movable within the completion (42). The service tool is coupled to a pipe string (36) extending from the surface and selectively supported by a movable block (30) above the surface. A subsurface model is defined in a computer operably associated with the wellbore (38). The model is operable to predict the position of the service tool relative to the landing points of the completion (42) based upon a dynamic lumped mass model of the service tool and a dynamic lumped capacitance thermal model of the wellbore environment.
摘要翻译：一种用于完成具有多个区域的井筒（38）的系统。该系统包括其中定义在其中的多个着陆点定位在井眼（38）内的完井（42）。服务工具可以在完成（42）内轴向移动。服务工具联接到从表面延伸并由表面上方的可移动块（30）选择性地支撑的管柱（36）。在与井筒（38）可操作地相关联的计算机中限定了地下模型。该模型可操作以基于服务工具的动态集中质量模型和井眼环境的动态集总电容热模型来预测服务工具相对于完成（42）的着陆点的位置。

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