公开(公告)号：US20170242410A1

公开(公告)日：2017-08-24

申请号：US15334656

申请日：2016-10-26

Applicant: General Electric Company

Inventor： Naresh Sundaram Iyer ,  Steven Hector Azzaro ,  Glen Richard Murrell ,  Robert Carl Lloyd Klenner ,  Panqing Gao

IPC: G05B13/04 ,  E21B49/00 ,  E21B41/00 ,  G05B13/02

CPC classification number: G05B13/041 ,  E21B41/0092 ,  E21B43/164 ,  E21B43/166 ,  E21B43/24 ,  E21B43/26 ,  E21B49/00 ,  G05B13/0265 ,  G06Q10/06

Abstract: System includes one or more processors that are configured to perform iterations of the following until a predetermined condition is satisfied. The one or more processors are configured to select a modified trial schedule. The modified trial schedule is selected based on initial fluid-extraction data and initial trial schedules and, if available, prior modified trial schedules and prior modified fluid-extraction data from prior iterations. The one or more processors are configured to receive modified fluid-extraction data generated by execution of the modified trial schedule with a designated model of the reservoir. The one or more processors are also configured to update the surrogate model with the modified fluid-extraction data and the modified trial schedule. For at least a plurality of the iterations, the modified trial schedule is selected, at least in part, to reduce uncertainty in a sample space as characterized by the surrogate model.

公开(公告)号：US20160069169A1

公开(公告)日：2016-03-10

申请号：US14808636

申请日：2015-07-24

Applicant: General Electric Company

Inventor： Naresh Sundaram Iyer ,  Steven Hector Azzaro ,  Glen Richard Murrell ,  Robert Carl Lloyd Klenner

IPC: E21B43/16

CPC classification number: E21B43/166 ,  E21B43/164

Abstract: A system and method for extracting a resource from a reservoir repeatedly alternates between injecting a fluid and injecting a gas into the reservoir. A rate and/or an amount of each of the fluid and the gas that is injected into the reservoir is defined by a first fluid-and-gas ratio function that designates different ratios as a function of time. The ratios designate the rate and/or the amount of the fluid that is injected into the reservoir to the rate and/or the amount of the gas that is injected into the reservoir. The rate and/or the amount at which the fluid and/or the gas is injected into the reservoir is changed according to the ratios designated by the first fluid-and-gas ratio function as time progresses.

Abstract translation: 从储存器中提取资源的系统和方法在注入流体并将气体注入储存器之间重复地交替。 注入到储存器中的每种流体和气体的速率和/或数量由指定不同比率作为时间的函数的第一流体和气体比函数限定。 这些比率表示注入到储存器中的流体的速率和/或量与注入到储存器中的气体的速率和/或量。 随着时间的推移，流体和/或气体被注入到储存器中的速率和/或量根据第一流体 - 气体比函数指定的比率而改变。

公开(公告)号：US20150371190A1

公开(公告)日：2015-12-24

申请号：US14312233

申请日：2014-06-23

Applicant: General Electric Company

Inventor： Naresh Sundaram Iyer

IPC: G06Q10/10 ,  H04L29/08

CPC classification number: G06Q10/103 ,  H04L67/10 ,  H04L67/1023

Abstract: A system and method for leveraging industrial asset computing capacity into a distributed computing system is disclosed. The method including receiving from a requesting entity a request for available computing capacity, the request including at least one computational task, determining the available computing capacity across a network of interconnected industrial assets, each industrial asset including at least one central controller, allocating at least one of the interconnected industrial assets to perform at least a portion of the computational request, providing the allocated industrial assets with computer executable instructions and data related to performing the computational request, performing at least a portion of the computational request at the allocated industrial assets, obtaining the results of the performing step from the allocated industrial assets; and returning the obtained results to the requesting entity. A system to implement the method and a computer-readable medium are disclosed.

Abstract translation: 公开了一种将工业资产计算能力用于分布式计算系统的系统和方法。 该方法包括从请求实体接收对可用计算能力的请求，所述请求包括至少一个计算任务，确定跨越互连工业资产的网络的可用计算能力，每个工业资产包括至少一个中央控制器，至少分配 相互关联的工业资产之一，以执行所述计算请求的至少一部分，向所分配的工业资产提供计算机可执行指令和与执行所述计算请求有关的数据，在所分配的工业资产上执行所述计算请求的至少一部分， 从分配的工业资产中获得执行成果; 并将获得的结果返回给请求实体。 公开了一种实现该方法的系统和一种计算机可读介质。

公开(公告)号：US20140188768A1

公开(公告)日：2014-07-03

申请号：US13729720

申请日：2012-12-28

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Piero Patrone Bonissone ,  Neil Holger White Eklund ,  Feng Xue ,  Naresh Sundaram Iyer ,  Weizhong Yan

IPC: G06N99/00

CPC classification number: G06N20/00

Abstract: A computer-implemented system for creating customized model ensembles on demand is provided. An input module is configured to receive a query. A selection module is configured to create a model ensemble by selecting a subset of models from a plurality of models, wherein selecting includes evaluating an aspect of applicability of the models with respect to answering the query. An application module is configured to apply the model ensemble to the query, thereby generating a set of individual results. A combination module is configured to combine the set of individual results into a combined result and output the combined result, wherein combining the set of individual results includes evaluating performance characteristics of the model ensemble relative to the query.

Abstract translation: 提供了一种用于根据需要创建定制模型组合的计算机实现的系统。 输入模块被配置为接收查询。 选择模块被配置为通过从多个模型中选择模型的子集来创建模型集合，其中选择包括评估模型在回答查询时的适用性的一个方面。 应用模块被配置为将模型集合应用于查询，从而生成一组单独的结果。 组合模块被配置为将该组个体结果组合成一个组合结果并输出组合结果，其中组合该单独结果包括评估模型集合相对于该查询的性能特征。

公开(公告)号：US20140188767A1

公开(公告)日：2014-07-03

申请号：US13728378

申请日：2012-12-27

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Naresh Sundaram Iyer ,  Anil Varma ,  James Kenneth Aragones ,  Weizhong Yan ,  Piero Patrone Bonissone ,  Feng Xue

IPC: G06N99/00

CPC classification number: G06N5/04 ,  G06N99/005 ,  G06Q10/0631 ,  G06Q10/087 ,  G07C5/008

Abstract: A method for determining fleet conditions and operational management thereof, performed by a central system includes receiving fleet data from at least one distributed data repository. The fleet data is substantially representative of information associated with a fleet of physical assets. The method also includes processing the received fleet data for the fleet using at least one process of a plurality of processes. The plurality of processes assess the received fleet data into processed fleet data. The method additionally includes determining a fleet condition status using the processed fleet data and the at least one process of the plurality of processes. The method further includes generating a fleet response. The fleet response is substantially representative of a next operational step for the fleet of physical assets. The method also includes transmitting the fleet response to at least one of a plurality of fleet response recipients.

Abstract translation: 由中央系统执行的用于确定车队状况和其操作管理的方法包括从至少一个分布式数据存储库接收车队数据。 船队数据实质上代表与实体资产船队相关联的信息。 该方法还包括使用多个过程的至少一个过程处理车队接收的车队数据。 多个过程将接收到的车队数据评估为处理后的车队数据。 该方法另外包括使用处理的车队数据和多个过程中的至少一个过程来确定车队状况状态。 该方法还包括产生车队响应。 舰队反应实质上代表了有形资产队伍的下一个操作步骤。 该方法还包括将车队响应发送到多个车队响应接收者中的至少一个。

公开(公告)号：US11727125B2

公开(公告)日：2023-08-15

申请号：US16835683

申请日：2020-03-31

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Alberto Santamaria-Pang ,  Peter Henry Tu ,  Naresh Sundaram Iyer ,  Varish Mulwad ,  Guangliang Zhao

IPC: G06F21/60 ,  G06F40/30 ,  G06F40/58 ,  G06N3/045

CPC classification number: G06F21/602 ,  G06F40/30 ,  G06F40/58 ,  G06N3/045

Abstract: Briefly, embodiments are directed to a system, method, and article for acquiring a symbol comprising a representation of input data. The symbol may be converted into an emergent language expression in an emergent language via processing of a first neural network. Transmission of the emergent language expression may be initiated over a communications network, where the emergent language comprises a language based on and specific to the input data. The emergent language expression may be translated back into the representation of the input data via processing of a second neural network.

公开(公告)号：US20180230780A1

公开(公告)日：2018-08-16

申请号：US15433086

申请日：2017-02-15

Applicant: General Electric Company

Inventor： Robert Carl Lloyd Klenner ,  Eric Robertson ,  Guoxiang Liu ,  Naresh Sundaram Iyer ,  Steven Hector Azzaro

IPC: E21B41/00 ,  G05B19/418 ,  E21B43/26 ,  E21B43/12

Abstract: A system includes a schedule generator having one or more processors configured to obtain resource extraction parameters for extracting a resource from a reservoir. The resource extraction parameters include well creation parameters associated with drilling wellbores, well stimulation parameters associated with introducing fracturing fluid into the wellbores, and production parameters associated with extracting the resource through the wellbores. The schedule generator selects initial trial schedules having different values of the resource extraction parameters and receives initial resource output data generated by execution of the initial trial schedules with a designated reservoir model. The schedule generator generates a surrogate model based on the initial resource output data and the initial trial schedules and uses the surrogate model to perform iterations of selecting modified trial schedules until a predetermined condition is satisfied.

公开(公告)号：US09934358B2

公开(公告)日：2018-04-03

申请号：US15692182

申请日：2017-08-31

Applicant: General Electric Company

Inventor： Christopher Donald Johnson ,  Peter Henry Tu ,  Piero Patrone Bonissone ,  John Michael Lizzi, Jr. ,  Kunter Seref Akbay ,  Ting Yu ,  Corey Nicholas Bufi ,  Viswanath Avasarala ,  Naresh Sundaram Iyer ,  Yi Yao ,  Kedar Anil Patwardhan ,  Dashan Gao

IPC: H04N7/18 ,  G06F19/00 ,  G06Q10/00 ,  G08B21/24

CPC classification number: G16H40/20 ,  G06F19/00 ,  G06F19/321 ,  G06F19/3418 ,  G06Q10/00 ,  G08B21/245 ,  G16H10/60 ,  G16H30/20 ,  G16H80/00

Abstract: The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

公开(公告)号：US09727671B2

公开(公告)日：2017-08-08

申请号：US14632780

申请日：2015-02-26

Applicant: General Electric Company

Inventor： Satish Giridhar Iyengar ,  John Anderson Fergus Ross ,  Frederick Wilson Wheeler ,  Naresh Sundaram Iyer ,  Paulo Ricardo dos Santos Mendonca ,  Ashok Sundaresan ,  Yujiao Zheng

IPC: G06F17/50 ,  G01R31/36

CPC classification number: G06F17/5009 ,  G01R31/3651 ,  G06F2217/76

Abstract: In an example embodiment, a method of calculating end-of-life (EOL) predictions for a physical asset is provided. A state-space model for the physical asset is obtained, the state-space model being a physics-based model describing a state of the physical asset at a particular time given measurements or observations for the physical asset. Then a current state of the physical asset is inferred. Then a long-term prediction is derived for the physical asset based on the inferred current state of the physical asset and the state-space model for the physical asset. Then an EOL probability distribution function is generated for the physical asset based on the long-term prediction, the EOL probability distribution function describing a range of estimates of EOL for the physical asset and their corresponding confidence intervals.

公开(公告)号：US20150355901A1

公开(公告)日：2015-12-10

申请号：US14297297

申请日：2014-06-05

Applicant: General Electric Company

Inventor： Piero Patrone Bonissone ,  Naresh Sundaram Iyer ,  Feng Xue ,  Johan Michael Reimann ,  Paul Ardis

IPC: G06F9/44

CPC classification number: G06F8/70 ,  G06F8/355

Abstract: A method, system, and non-transitory computer-readable medium, the method including determining automatically, by a processor, whether behavior for a model representing a plurality of entities and relationships therebetween deviates from a reference behavior for the model; determining, in response to the determination that the model does deviate from the reference behavior, at least one basis for the deviation; automatically forecasting an estimate of a remaining useful life for the model; and modifying the model to compensate for the deviation by at least one of modifying the model to accommodate the deviation and updating the model based on at least one new requirement.

Abstract translation: 一种方法，系统和非暂时计算机可读介质，所述方法包括由处理器自动确定表示多个实体的模型的行为及其间的关系偏离所述模型的参考行为; 响应于确定所述模型偏离所述参考行为，确定所述偏差的至少一个基础; 自动预测模型的剩余使用寿命的估计值; 以及修改所述模型以通过至少一个修改所述模型以适应所述偏差并基于至少一个新要求来更新所述模型来补偿所述偏差。