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1. 发明申请

WO2013016359A3 AUTOMATIC OPTIMIZING METHODS FOR RESERVOIR TESTING 审中-公开
公开(公告)号：WO2013016359A3
公开(公告)日：2013-01-31
申请号：PCT/US2012/048010
申请日：2012-07-24
申请人： HALLIBURTON ENERGY SERVICES, INC. , PROETT, Mark , CHEN, Dingding , HADIBEIK, Abdolhamid , EYUBOGLU, Sammi, Abbas
发明人： PROETT, Mark , CHEN, Dingding , HADIBEIK, Abdolhamid , EYUBOGLU, Sammi, Abbas
IPC分类号： E21B49/00 , E21B49/08
摘要： A method of determining a reservoir parameter of a subterranean formation comprising: initiating an initial pressure pulse in the subterranean formation; initiating a series of subsequent pressure pulses in the subterranean formation until the reservoir parameter may be determined, wherein each subsequent pressure pulse is optimized utilizing analytical and/or numerical simulation models; and determining the reservoir parameter.

2. 发明申请

WO2013187890A1 APPARATUS AND METHOD FOR PULSE TESTING A FORMATION 审中-公开
标题翻译：用于脉冲测试形成的装置和方法
公开(公告)号：WO2013187890A1
公开(公告)日：2013-12-19
申请号：PCT/US2012/042238
申请日：2012-06-13
申请人： HALLIBURTON ENERGY SERVICES, INC. , CHEN, Dingding , PROETT, Mark A. , JONES, Christopher Michael , HADIBEIK, Abdolhamid
发明人： CHEN, Dingding , PROETT, Mark A. , JONES, Christopher Michael , HADIBEIK, Abdolhamid
IPC分类号： E21B49/08 , E21B47/06 , E21B49/00 , E21B47/12
CPC分类号： E21B49/008 , E21B47/06
摘要： 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.
摘要翻译：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由所述井下工具施加的流量。

3. 发明申请

WO2013191693A1 METHOD AND APPARATUS FOR FORMATION TESTER DATA INTERPRETATION WITH DIVERSE FLOW MODELS 审中-公开
标题翻译：用于形成测量数据的方法和装置用流式流动模型解释
公开(公告)号：WO2013191693A1
公开(公告)日：2013-12-27
申请号：PCT/US2012/043457
申请日：2012-06-21
申请人： HALLIBURTON ENERGY SERVICES, INC. , CHEN, Dingding , PROETT, Mark, A. , GAO, Li , JONES, Christopher, Michael
发明人： CHEN, Dingding , PROETT, Mark, A. , GAO, Li , JONES, Christopher, Michael
IPC分类号： E21B49/08
CPC分类号： G01V99/005 , E21B49/087 , G06N3/126 , G06N99/005
摘要： Improved systematic inversion methodology applied to formation testing data interpretation with spherical, radial and/or cylindrical flow models is disclosed. A method of determining a parameter of a formation of interest at a desired location comprises directing a formation tester to the desired location in the formation of interest and obtaining data from the desired location in the formation of interest. The obtained data relates to a first parameter at the desired location of the formation of interest. The obtained data is regressed to determine a second parameter at the desired location of the formation of interest. Regressing the obtained data comprises using a method selected from a group consisting of a deterministic approach, a probabilistic approach, and an evolutionary approach.
摘要翻译：公开了用于球形，径向和/或圆柱形流动模型的地层测试数据解释的改进的系统反演方法。在期望的位置确定感兴趣的形成的参数的方法包括将地层测试仪引导到感兴趣的形成中的期望的位置，并从感兴趣的形成中的期望的位置获得数据。获得的数据涉及在感兴趣形成的期望位置处的第一参数。所获得的数据被回归以确定感兴趣形成的期望位置处的第二参数。回归所获得的数据包括使用从由确定性方法，概率方法和进化方法组成的组中选择的方法。

4. 发明公开

EP2904348A1 INTEGRATED COMPUTATIONAL ELEMENT DESIGN OPTIMIZATION AND PERFORMANCE EVALUATION 审中-公开
标题翻译：优化设计的集成化计算机元件及绩效评价的
公开(公告)号：EP2904348A1
公开(公告)日：2015-08-12
申请号：EP12888113.3
申请日：2012-11-09
申请人： Halliburton Energy Services, Inc. , Chen, Dingding , Jones, Christopher Michael , Perkins, David L. , Gao, Li
发明人： CHEN, Dingding , JONES, Christopher Michael , PERKINS, David L. , GAO, Li
IPC分类号： G01B11/02
CPC分类号： G06N3/126
摘要： A system for integrated computational element ("ICE") design optimization and analysis utilizes a genetic algorithm to evolve layer thickness of each fixed ICE structure using a constrained multi-objective merit function. The system outputs a ranked representative group of ICE design candidates that may be used for further fabricability study, ICE combination selection, efficient statistical analysis and/or feature characterization.

5. 发明申请

WO2014074108A1 INTEGRATED COMPUTATIONAL ELEMENT DESIGN OPTIMIZATION AND PERFORMANCE EVALUATION 审中-公开
标题翻译：综合计算元素设计优化与性能评估
公开(公告)号：WO2014074108A1
公开(公告)日：2014-05-15
申请号：PCT/US2012/064346
申请日：2012-11-09
申请人： HALLIBURTON ENERGY SERVICES, INC. , CHEN, Dingding , JONES, Christopher Michael , PERKINS, David L. , GAO, Li
发明人： CHEN, Dingding , JONES, Christopher Michael , PERKINS, David L. , GAO, Li
IPC分类号： G01B11/02
CPC分类号： G06N3/126
摘要： A system for integrated computational element ("ICE") design optimization and analysis utilizes a genetic algorithm to evolve layer thickness of each fixed ICE structure using a constrained multi-objective merit function. The system outputs a ranked representative group of ICE design candidates that may be used for further fabricability study, ICE combination selection, efficient statistical analysis and/or feature characterization.
摘要翻译：用于集成计算元件（“ICE”）设计优化和分析的系统利用遗传算法来利用约束多目标优值函数来演化每个固定ICE结构的层厚度。该系统输出可用于进一步可行性研究，ICE组合选择，有效统计分析和/或特征表征的ICE设计候选者的排名代表性组。

6. 发明申请

WO2014035374A1 SENSOR CHARACTERIZATION APPARATUS, METHODS, AND SYSTEMS 审中-公开
标题翻译：传感器特征装置，方法和系统
公开(公告)号：WO2014035374A1
公开(公告)日：2014-03-06
申请号：PCT/US2012/052666
申请日：2012-08-28
申请人： HALLIBURTON ENERGY SERVICES, INC. , CHEN, Dingding , GAO, Li , PELLETIER, Michael T. , RODRIGUEZ, Nestor Javier
发明人： CHEN, Dingding , GAO, Li , PELLETIER, Michael T. , RODRIGUEZ, Nestor Javier
IPC分类号： G01N9/00
CPC分类号： G01N9/002 , E21B47/10 , E21B49/08
摘要： In some embodiments, an apparatus and a system, as well as a method and an article, may operate to receive a vibration signal having a frequency and a characteristic (e.g., voltage) proportional to the vibration amplitude of a tube in a vibrating tube density sensor. Further activity may include transmitting the density of a fluid flowing through the tube based on the frequency and an elastic modulus of the tube determined by the value of the characteristic. Additional apparatus, systems, and methods are described.
摘要翻译：在一些实施例中，设备和系统以及方法和物品可以操作以接收振动信号，该振动信号具有与振动管密度中的管的振动幅度成比例的频率和特性（例如，电压）传感器。进一步的活动可以包括基于由特征值确定的管的频率和管的弹性模量来传输流过管的流体的密度。描述了附加装置，系统和方法。

7. 发明申请

WO2010123494A1 SYSTEM AND METHOD OF PREDICTING GAS SATURATION OF A FORMATION USING NEURAL NETWORKS 审中-公开
标题翻译：使用神经网络预测气体饱和度的系统和方法
公开(公告)号：WO2010123494A1
公开(公告)日：2010-10-28
申请号：PCT/US2009/041222
申请日：2009-04-21
申请人： HALLIBURTON ENERGY SERVICES, INC. , CHEN, Dingding , GUO, Weijun , JACOBSON, Larry, A.
发明人： CHEN, Dingding , GUO, Weijun , JACOBSON, Larry, A.
IPC分类号： G01V5/12 , G01V5/04 , E21B47/00 , G01N23/06
CPC分类号： G01V5/125
摘要： 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.
摘要翻译：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。

8. 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。

9. 发明申请

WO2006055467A1 COOLING APPARATUS, SYSTEMS, AND METHODS 审中-公开
标题翻译：冷却装置，系统和方法
公开(公告)号：WO2006055467A1
公开(公告)日：2006-05-26
申请号：PCT/US2005/041105
申请日：2005-11-15
申请人： HALLIBURTON ENERGY SERVICES, INC. , STORM, Bruce, H. , CHEN, Dingding , SONG, Haoshi
发明人： STORM, Bruce, H. , CHEN, Dingding , SONG, Haoshi
IPC分类号： H05K7/20 , E21B36/00
CPC分类号： H05K7/20336 , F28D15/06 , F28F13/14
摘要： Apparatus and systems, as well as methods and articles, may operate to actively cool an electronic device using a first heat removing cooling element, and to induce a thermal gradient in a heat pipe by conducting heat from a hot side of the first heat removing cooling element to a cold side of a second heat removing cooling element using the heat pipe. The heat pipe may comprise a variable conductance heat pipe. The apparatus and system may operate in a downhole environment, including logging and drilling operations.
摘要翻译：设备和系统以及方法和制品可以操作以使用第一除热冷却元件主动冷却电子设备，并且通过从第一除热冷却的热侧传导热量来引导热管中的热梯度元件到使用热管的第二除热冷却元件的冷侧。热管可以包括可变电导热管。设备和系统可以在井下环境中操作，包括测井和钻井操作。

10. 发明申请

WO2002050571A3 PROCESSING WELL LOGGING DATA WITH NEURAL NETWORK 审中-公开
公开(公告)号：WO2002050571A3
公开(公告)日：2002-06-27
申请号：PCT/US2001/049193
申请日：2001-12-19
申请人： HALLIBURTON ENERGY SERVICES, INC. , CHEN, Dingding , SAN MARTIN, Luis, E. , MERCHANT, Gulamabbas, A. , STRICKLAND, Robert, W. , HAGAN, Martin, T.
发明人： CHEN, Dingding , SAN MARTIN, Luis, E. , MERCHANT, Gulamabbas, A. , STRICKLAND, Robert, W. , HAGAN, Martin, T.
IPC分类号： G06G7/48
摘要： An artificial neural network (ANN) (34) and method of training the ANN for inversion of logging tool signals into well logs of formation parameters is taught (Fig. 4). Properly selected synthetic models (32) of earth formations are used to train the ANN (34). The models include Oklahoma and chirp type formations.

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