公开(公告)号：US06496490B1

公开(公告)日：2002-12-17

申请号：US09112547

申请日：1998-07-09

Applicant: Daniel Matthew Andrews ,  Simon C. Borst ,  Francis Dominique ,  Predrag Jelenkovic ,  Krishnan Kumaran ,  Philip Alfred Whiting

Inventor： Daniel Matthew Andrews ,  Simon C. Borst ,  Francis Dominique ,  Predrag Jelenkovic ,  Krishnan Kumaran ,  Philip Alfred Whiting

IPC: H04Q700

CPC classification number: H04W16/10 ,  H04W28/14 ,  H04W28/16 ,  H04W72/00 ,  H04W88/08

Abstract: We disclose a method of dynamic channel assignment for wireless transmission systems that employ time or frequency multiplexing, or both time and frequency multiplexing. The invention is specifically addressed to the problem of avoiding interference in the channels of such systems. In a broad aspect, the invention involves partitioning base stations of a network into non-interfering sets. Channels are allocated to the non-interfering sets according to need. Stages of channel reallocation take place periodically. The reallocation takes place through coordinated activity by the base stations. That is, the channel reallocation is carried out in response to information that is exchanged between base stations, or it is centrally directed by the network in response to information passed to the network by the base stations.

Abstract translation: 我们公开了采用时间或频率复用或时间和频率复用的无线传输系统的动态信道分配方法。 本发明特别涉及避免这种系统的信道中的干扰的问题。 在广泛的方面，本发明涉及将网络的基站划分为非干扰集合。 信道根据需要分配给非干扰集。 频道重新分配的阶段定期进行。 重新分配通过基站的协调活动进行。 也就是说，响应于在基站之间交换的信息来执行信道重新分配，或者响应于基站传送到网络的信息，它被网络集中指导。

公开(公告)号：US6154655A

公开(公告)日：2000-11-28

申请号：US34923

申请日：1998-03-05

Applicant: Simon C. Borst ,  Sudheer A. Grandhi ,  Joe Huang ,  Colin L. Kahn ,  Krishnan Kumaran ,  Bulin B. Zhang

Inventor： Simon C. Borst ,  Sudheer A. Grandhi ,  Joe Huang ,  Colin L. Kahn ,  Krishnan Kumaran ,  Bulin B. Zhang

IPC: H04W16/10 ,  H04Q7/20 ,  H04B7/00

CPC classification number: H04W16/10 ,  H04W24/10 ,  H04W72/085

Abstract: In a cellular system, channels are assigned for new calls using a flexible channel allocation algorithm that is a hybrid of a measurement-based dynamic channel assignment (MBDCA) algorithm and a reuse-distance criterion algorithm, such as a cost-function-based DCA (CFBDCA). In one embodiment, the MBDCA algorithm is implemented at each cell site in the cellular system and generates a list of candidate channels for each new call. The list is transmitted to the mobile switching center (MSC), which implements the CFBDCA algorithm to select a particular channel from the list of candidate channels for the new call.

Abstract translation: 在蜂窝系统中，使用灵活的信道分配算法将信道分配给新呼叫，该灵活信道分配算法是基于测量的动态信道分配（MBDCA）算法和重用距离标准算法（例如基于成本函数的DCA）的混合 （CFBDCA）。 在一个实施例中，在蜂窝系统中的每个小区站点实现MBDCA算法，并为每个新呼叫生成候选信道的列表。 该列表被发送到移动交换中心（MSC），移动交换中心（MSC）实现CFBDCA算法以从新呼叫的候选信道列表中选择特定信道。

公开(公告)号：US06119011A

公开(公告)日：2000-09-12

申请号：US35453

申请日：1998-03-05

Applicant: Simon C. Borst ,  Sudheer A. Grandhi ,  Joe Huang ,  Colin L. Kahn ,  Krishnan Kumaran ,  Bulin B. Zhang

Inventor： Simon C. Borst ,  Sudheer A. Grandhi ,  Joe Huang ,  Colin L. Kahn ,  Krishnan Kumaran ,  Bulin B. Zhang

IPC: H04M15/00 ,  H04W16/10 ,  H04Q7/20

CPC classification number: H04W16/10 ,  H04W28/16

Abstract: In a cellular system, channels are assigned for new calls using a cost-function-based dynamic channel assignment (CFBDCA) algorithm. In one embodiment, the CFBDCA algorithm is implemented in the cellular system's mobile switching center (MSC), which maintains a database containing one or more cost tables and a busy channel table. The entries in the cost tables reflect the costs of using a candidate channel in one particular cell of the cellular system, assuming that the channel is already being used in another particular cell. The entries in the busy channel table identify which channels are currently being used in which cells. The CFBDCA algorithm uses the cost tables and the busy channel table to generate cost of reusing the channel (CORC) values. Depending on the implementation, the CFBDCA algorithm of the present invention may or may not be used in conjunction with a measurement-based DCA (MBDCA) algorithm. If so, then the CFBDCA algorithm may be applied to a list of candidate channels generated using the MBDCA algorithm.

Abstract translation: 在蜂窝系统中，使用基于成本函数的动态信道分配（CFBDCA）算法将信道分配给新的呼叫。 在一个实施例中，在蜂窝系统的移动交换中心（MSC）中实现CFBDCA算法，其维护包含一个或多个成本表和繁忙信道表的数据库。 成本表中的条目反映了在蜂窝系统的一个特定小区中使用候选信道的成本，假设信道已经在另一特定小区中使用。 忙通道表中的条目标识当前在哪些信道中使用哪些信道。 CFBDCA算法使用成本表和忙信道表来生成重用信道（CORC）值的成本。 根据实现，本发明的CFBDCA算法可以或可以不与基于测量的DCA（MBDCA）算法结合使用。 如果是这样，则可以将CFBDCA算法应用于使用MBDCA算法生成的候选信道的列表。

公开(公告)号：US11131181B2

公开(公告)日：2021-09-28

申请号：US16133941

申请日：2018-09-18

Applicant: Thomas A. Badgwell ,  Paul E. Pastusek ,  Krishnan Kumaran ,  David J. Schmidt

Inventor： Thomas A. Badgwell ,  Paul E. Pastusek ,  Krishnan Kumaran ,  David J. Schmidt

IPC: E21B44/02 ,  G05B11/42 ,  E21B45/00 ,  G05B13/02

Abstract: A method and controller system are described for automatically tuning a controller of a drilling rig. The controller system includes a controller that determines a moving average of measured values, determines a moving standard deviation of the measured values, defines an outer zone of measured values with the determined moving average and the determined moving standard deviation, defines an inner zone of measured values with the determined moving average and the determined moving standard deviation, monitors the measured values for the occurrence of statistical events with respect to the outer zone and inner zone. Based on the detected statistical event, the controller adjusts the gain of the controller the based on the statistical event being associated with the outer zone or inner zone.

公开(公告)号：US20170058657A1

公开(公告)日：2017-03-02

申请号：US15208704

申请日：2016-07-13

Applicant: Benjamin Spivey ,  Gregory S. Payette ,  Darren Pais ,  Krishnan Kumaran ,  Lei Wang ,  Jeffrey R. Bailey ,  Paul E. Pastusek

Inventor： Benjamin Spivey ,  Gregory S. Payette ,  Darren Pais ,  Krishnan Kumaran ,  Lei Wang ,  Jeffrey R. Bailey ,  Paul E. Pastusek

IPC: E21B44/02 ,  E21B47/12 ,  E21B47/06 ,  E21B45/00

CPC classification number: E21B7/00

Abstract: Methods for drilling a wellbore within a subsurface region and drilling assemblies and systems that include and/or utilize the methods are disclosed herein. The methods include receiving a plurality of drilling performance indicator maps, normalizing the plurality of drilling performance indicator maps to generate a plurality of normalized maps, adaptive trending of the plurality of drilling performance indicator maps to generate a plurality of trended maps, summing the plurality of trended maps to generate an objective map, selecting a desired operating regime from the objective map, and adjusting at least one drilling operational parameter of a drilling rig based, at least in part, on the desired operating regime.

Abstract translation: 本文公开了在地下区域内钻井井的方法以及包括和/或利用该方法的钻井组件和系统。 所述方法包括：接收多个钻井性能指标图，归一化所述多个钻井性能指标图，以产生多个归一化图;所述多个钻井性能指标图的自适应趋势，以产生多个趋势图， 趋向地图以产生客观地图，从目标图选择期望的操作状态，以及至少部分地基于期望的操作状态来调整钻机的至少一个钻井操作参数。

公开(公告)号：US09194968B2

公开(公告)日：2015-11-24

申请号：US13695226

申请日：2011-04-22

Applicant: Matthias G. Imhof ,  Pavel Dimitrov ,  Kelly Wrobel ,  Krishnan Kumaran ,  Martin J. Terrell ,  Stefan Hussenoeder

Inventor： Matthias G. Imhof ,  Pavel Dimitrov ,  Kelly Wrobel ,  Krishnan Kumaran ,  Martin J. Terrell ,  Stefan Hussenoeder

IPC: G01V1/30

CPC classification number: G01V1/30 ,  G01V1/302 ,  G01V1/306 ,  G01V1/307 ,  G01V1/345 ,  G01V2210/63 ,  G01V2210/64 ,  G01V2210/74

Abstract: Method for analyzing seismic data representing a subsurface region for presence of a hydrocarbon system or a particular play. Seismic attributes are computed, the attributes being selected to relate to the classical elements of a hydrocarbon system, namely reservoir, seal, trap, source, maturation, and migration. Preferably, the attributes are computed along structural fabrics (1) of the subsurface region, and are smoothed over at least tens or hundreds of data voxels. The resulting geologic attributes (2) are used to analyze the data for elements of the hydrocarbon system and/or recognition of specific plays, and for ranking and annotating partitioned regions (3) of the data volume based on size, quality, and confidence in the prospectivity prediction (5). A catalog (8) of hydrocarbon trap configurations may be created and used to identify potential presence of hydrocarbon traps and/or aid in scoring (4) and ranking partitioned regions as hydrocarbon prospects.

Abstract translation: 用于分析表示烃系统或特定游戏的存在的地下区域的地震数据的方法。 计算地震属性，选择属性与烃系统的古典元素相关，即储层，密封，陷阱，源，成熟和迁移。 优选地，沿着地下区域的结构织物（1）计算属性，并且在至少数十或数百个数据体素上平滑。 所得到的地质属性（2）用于分析烃系统的元素和/或特定游戏的识别数据，以及基于大小，质量和置信度对数据量的分割区域（3）进行排名和注释 前景预测（5）。 可以创建碳捕集器构造目录（8）并用于识别碳氢化合物阱的潜在存在和/或帮助评分（4）并将分区区域作为碳氢化合物前景。

公开(公告)号：US08983141B2

公开(公告)日：2015-03-17

申请号：US13408419

申请日：2012-02-29

Applicant: Krishnan Kumaran

Inventor： Krishnan Kumaran

IPC: G06K9/00 ,  G01V1/32

CPC classification number: G01V1/325

Abstract: An automated method for texture segmentation (11) of geophysical data volumes, where texture is defined by double-window statistics of data values, the statistics being generated by a smaller pattern window moving around within a larger sampling window (12). A measure of “distance” between two locations is selected based on similarity between the double-window statistics from sampling windows centered at the two locations (13). Clustering of locations is then based on distance proximity (14).

Abstract translation: 一种用于地球物理数据量的纹理分割（11）的自动化方法，其中纹理由数据值的双窗口统计定义，统计信息由更大的采样窗口（12）内移动的较小图案窗口生成。 基于以两个位置（13）为中心的采样窗口的双窗口统计信息之间的相似度来选择两个位置之间的“距离”的度量。 然后基于距离邻近度聚类（14）。

公开(公告)号：US20140296057A1

公开(公告)日：2014-10-02

申请号：US14192995

申请日：2014-02-28

Applicant: Teh C. Ho ,  Krishnan Kumaran ,  Richard C. Dougherty

Inventor： Teh C. Ho ,  Krishnan Kumaran ,  Richard C. Dougherty

IPC: B01J38/56

CPC classification number: B01J38/56 ,  B01J8/02 ,  B01J2208/0007 ,  B01J2208/00539 ,  B01J2208/00707 ,  B01J2219/00211 ,  B01J2219/00213 ,  B01J2219/00231 ,  C10G49/002 ,  C10G75/00 ,  C10G75/04 ,  G05B23/0254

Abstract: The behavior of a monitored condition over time for a reactor or reaction system can be analyzed using groupings or windows of data to identify anomalous features in the time-average values. Anomalous features can be identified based on a threshold value generated from the analysis. Based on identification of an anomalous feature, a corrective action can be taken. For example, when the monitored condition is the pressure drop across a catalyst bed, detection of an anomaly can indicate the time to initiate a wash process for the catalyst bed before a large drop in catalyst activity occurs. By detecting an anomaly at an earlier point in time, a wash cycle can be initiated earlier so that the wash is more effective at restoring the catalyst bed to a desired condition.

Abstract translation: 可以使用数据分组或窗口来分析反应堆或反应系统的监测条件随时间的行为，以识别时间平均值中的异常特征。 可以基于从分析生成的阈值来识别异常特征。 基于异常特征的识别，可采取纠正措施。 例如，当监测条件是催化剂床上的压降时，异常的检测可以指示在催化剂活性发生大的下降之前催化剂床的启动洗涤过程的时间。 通过在较早的时间点检测异常，可以更早地启动洗涤循环，使得洗涤在将催化剂床恢复到所需条件下更有效。

公开(公告)号：US20130338927A1

公开(公告)日：2013-12-19

申请号：US13860313

申请日：2013-04-10

Applicant: Krishnan Kumaran

Inventor： Krishnan Kumaran

IPC: G01V1/30

CPC classification number: G01V1/30 ,  G01V1/00 ,  G01V1/301

Abstract: Method for identifying geologic features from seismic data (11) using seismic anomaly detection by a double-windowed statistical analysis. Subtle features that may be obscured using a single window on the data are made identifiable using two moving windows of user-selected size and shape: a pattern window located within a sampling window larger than the pattern window (12). If Gaussian statistics are assumed, the statistical analysis may be performed by computing mean and covariance matrices for the data within the pattern window in its various positions within the sampling window (13). Then a specific measure of degree of anomaly for each voxel such as a residue value may be computed for each sampling window using its own mean and covariance matrix (14), and finally the resulting residue volume may be analyzed, with or without thresholding, for physical features indicative of hydrocarbon potential (15).

Abstract translation: 使用双窗口统计分析的地震异常检测方法从地震数据（11）中识别地质特征。 使用用户选择的尺寸和形状的两个移动窗口可以识别可以使用数据上的单个窗口遮蔽的细微特征：位于大于图案窗口（12）的采样窗口内的图案窗口。 如果假设高斯统计量，则可以通过在采样窗口（13）内的各个位置中计算模式窗口内的数据的平均值和协方差矩阵来执行统计分析。 然后，可以使用其自身的平均和协方差矩阵（14）为每个采样窗口计算每个体素的异常程度（例如残差值）的特定度量，最后可以分析具有或不具有阈值的所得残留体积 表明碳氢化合物潜力的物理特征（15）。