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1. 发明申请

US20090276094A1 Apparatus And Method For An Autonomous Robotic System For Performing Activities In A Well 审中-公开
标题翻译：一种用于在井中进行活动的自主机器人系统的装置和方法
公开(公告)号：US20090276094A1
公开(公告)日：2009-11-05
申请号：US12497126
申请日：2009-07-02
申请人： Neil De Guzman , Lawrence Lafferty , Chad Lafferty , Donald K. Steinman
发明人： Neil De Guzman , Lawrence Lafferty , Chad Lafferty , Donald K. Steinman
IPC分类号： E21B41/00 , G05B19/04 , E21B47/00
CPC分类号： F16L55/40 , F16L55/32 , F16L55/38 , F16L55/48
摘要： An autonomous robot performs maintenance and repair activities in oil and gas wells, and in pipelines. The robot uses the well and pipeline fluids to provide most of the energy required for its mobility, and to charge a turbine from which it may recharge batteries or power a motor for additional propulsion. A control system of associated systems controls the robot, enabling the robot to share plans and goals, situations, and solution processes with wells, pipelines, and external control systems. The control system includes decision aids in a series of knowledge bases that contain the expertise in appropriate fields to provide intelligent behavior to the control system. The intelligent behavior of the control system enables real time maintenance management of wells and pipelines, through actively collecting information, goal-driven system, reasoning at multiple levels, context sensitive communication, activity performing, and estimation of the operators' intent.
摘要翻译：自主机器人在油气井和管道中进行维护和修理活动。机器人使用井和管道流体提供其移动性所需的大部分能量，并为涡轮机充电，其可以从其再充电电池或为电动机提供动力以用于额外的推进。相关系统的控制系统控制机器人，使机器人能够与井，管道和外部控制系统共享计划和目标，情况和解决过程。控制系统包括一系列知识库中的决策帮助，其中包含适当领域的专业知识，以向控制系统提供智能行为。控制系统的智能行为通过积极收集信息，目标驱动系统，多层次推理，上下文敏感通信，活动执行和运营商意图的估计，实现井和管线的实时维护管理。

2. 发明申请

US20080270328A1 Building and Using Intelligent Software Agents For Optimizing Oil And Gas Wells 审中-公开
标题翻译：建立和使用智能软件代理优化油气井
公开(公告)号：US20080270328A1
公开(公告)日：2008-10-30
申请号：US11871156
申请日：2007-10-12
申请人： Chad Lafferty , Neil De Guzman , Lawrence Lafferty , Donald K. Steinman
发明人： Chad Lafferty , Neil De Guzman , Lawrence Lafferty , Donald K. Steinman
IPC分类号： G06F15/18 , G06F15/00
CPC分类号： E21B43/00 , E21B47/00 , E21B2041/0028 , G05B23/0229
摘要： A system and method for monitoring processes in the production of oil and gas uses intelligent software agents employing associative memory techniques that receive data from sensors in the production environment and from other sources and perform pattern matching operations to identify normal and abnormal behavior of the well production. The agents report the behaviors to human operators or other software systems. The abnormal behavior may consist of any behavior of the production processes that is other than the desired behavior of the well. The intelligent software agents are trained to identify both specific behaviors and behaviors that have never before been observed and recognized in the well.
摘要翻译：用于监测油气生产过程的系统和方法使用智能软件代理，采用联合存储技术，从生产环境和其他来源的传感器接收数据，并执行模式匹配操作，以识别井生产的正常和异常行为。代理人向人类操作员或其他软件系统报告行为。异常行为可能包括生产过程中不同于井的所需行为的任何行为。对智能软件代理进行培训，以确定从未在井中观察和识别的特定行为和行为。

3. 发明授权

US07303010B2 Apparatus and method for an autonomous robotic system for performing activities in a well 失效
标题翻译：用于在井中进行活动的自主机器人系统的装置和方法
公开(公告)号：US07303010B2
公开(公告)日：2007-12-04
申请号：US10268444
申请日：2002-10-11
申请人： Neil de Guzman , Lawrence Lafferty , Chad Lafferty , Donald K. Steinman
发明人： Neil de Guzman , Lawrence Lafferty , Chad Lafferty , Donald K. Steinman
IPC分类号： E21B47/09
CPC分类号： F16L55/40 , F16L55/32 , F16L55/38 , F16L55/48
摘要： An autonomous robot performs maintenance and repair activities in oil and gas wells, and in pipelines. The robot uses the well and pipeline fluids to provide most of the energy required for the its mobility, and to charge a turbine from which it may recharge batteries or power a motor for additional propulsion. A control system of associated systems controls the robot, enabling the robot to share plans and goals, situations, and solution processes with wells, pipelines, and external control systems. The control system includes decision aids in a series of knowledge bases that contain the expertise in appropriate fields to provide intelligent behavior to the control system. The intelligent behavior of the control system enables real time maintenance management of wells and pipelines, through actively collecting information, goal-driven system, reasoning at multiple levels, context sensitive communication, activity performing, and estimation of the operators' intent.
摘要翻译：自主机器人在油气井和管道中进行维护和修理活动。机器人使用井和管道流体提供其移动性所需的大部分能量，并且为涡轮机充电，其可以从其再充电电池或为马达供电以进行额外的推进。相关系统的控制系统控制机器人，使机器人能够与井，管道和外部控制系统共享计划和目标，情况和解决过程。控制系统包括一系列知识库中的决策帮助，其中包含适当领域的专业知识，以向控制系统提供智能行为。控制系统的智能行为通过积极收集信息，目标驱动系统，多层次推理，上下文敏感通信，活动执行和运营商意图的估计，实现井和管线的实时维护管理。

4. 发明授权

US07266456B2 Method for management of multiple wells in a reservoir 失效
标题翻译：储层多孔管理方法
公开(公告)号：US07266456B2
公开(公告)日：2007-09-04
申请号：US11109151
申请日：2005-04-19
申请人： Neil De Guzman , Lawrence Lafferty
发明人： Neil De Guzman , Lawrence Lafferty
IPC分类号： G01V1/40 , E21B41/00 , E21B47/00
CPC分类号： E21B47/00 , E21B43/00
摘要： A method of managing multiple wells connected to a reservoir comprises the steps of: setting production and performance goals for each individual well; monitoring the performance of each individual well; enabling each individual well to assess its own situational state; and enabling socially interactive corrective actions, comprising enabling collaboration and cooperation among the wells, such that the wells share with each other their situational states, goals, and plan data; developing and refining remediation strategies for problems detected within the wells; allowing execution of the remediation strategies either independently, or by operator intervention; applying the remediation strategies to each individual well; revising and resetting the goals, and integrating pattern recognition and machine learning within all preceding steps.
摘要翻译：管理连接到储存器的多个井的方法包括以下步骤：为每个井设定生产和性能目标; 监测每个人的表现; 使每个人都能够评估自己的情境状态; 并实现社会互动的纠正措施，包括实现井之间的协作与合作，使井相互共享其态势状态，目标和计划数据; 制定和完善井内检测到的问题的补救策略; 允许独立地或通过操作员干预来执行补救策略; 对每个人应用补救策略; 修改和重新设定目标，并在所有前述步骤中集成模式识别和机器学习。

5. 发明申请

US20050246104A1 Method for management of multiple wells in a reservoir 失效
标题翻译：储层多孔管理方法
公开(公告)号：US20050246104A1
公开(公告)日：2005-11-03
申请号：US11109151
申请日：2005-04-19
申请人： Neil De Guzman , Lawrence Lafferty
发明人： Neil De Guzman , Lawrence Lafferty
IPC分类号： E21B41/00 , E21B47/00 , G01V1/40
CPC分类号： E21B47/00 , E21B43/00
摘要： A method of managing multiple wells connected to a reservoir comprises the steps of: setting production and performance goals for each individual well; monitoring the performance of each individual well; enabling each individual well to assess its own situational state; and enabling socially interactive corrective actions, comprising enabling collaboration and cooperation among the wells, such that the wells share with each other their situational states, goals, and plan data; developing and refining remediation strategies for problems detected within the wells; allowing execution of the remediation strategies either independently, or by operator intervention; applying the remediation strategies to each individual well; revising and resetting the goals, and integrating pattern recognition and machine learning within all preceding steps.
摘要翻译：管理连接到储存器的多个井的方法包括以下步骤：为每个井设定生产和性能目标; 监测每个人的表现; 使每个人都能够评估自己的情境状态; 并实现社会互动的纠正措施，包括促进井之间的协作与合作，使井相互共享其态势状态，目标和计划数据; 制定和完善井内检测到的问题的补救策略; 允许独立地或通过操作员干预来执行补救策略; 对每个人应用补救策略; 修改和重新设定目标，并在所有前述步骤中集成模式识别和机器学习。

6. 发明申请

US20080202763A1 Method to Optimize Production from a Gas-lifted Oil Well 审中-公开
标题翻译：优化气举油井生产的方法
公开(公告)号：US20080202763A1
公开(公告)日：2008-08-28
申请号：US11678353
申请日：2007-02-23
申请人： Chad Lafferty , Lawrence Lafferty , Donald K. Steinman
发明人： Chad Lafferty , Lawrence Lafferty , Donald K. Steinman
IPC分类号： E21B43/18
CPC分类号： E21B43/122
摘要： A method for determining and reporting a general production state of a gas-lift system for an oil well, the oil well having associated tubing, casing, and gas-lift valves, and wherein sensor signals from the welt and its associated tubing and casing are input into mathematical models. The method comprises the steps of: a) extracting values from the mathematical models that indicate instantaneous states of production; b) supplying the sensor signals and the values to an associative memory agent; and c) using the associative memory agent to associate the sensor signals and the values to generate the general production state.
摘要翻译：一种用于确定和报告用于油井的气举系统的一般生产状态的方法，所述油井具有相关管道，套管和气举阀，并且其中来自所述边缘及其相关联的管道和套管的传感器信号是输入数学模型。该方法包括以下步骤：a）从指示生产状态的数学模型中提取值; b）将传感器信号和值提供给关联存储器; 以及c）使用关联存储器来将传感器信号和值相关联以产生一般生产状态。

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