公开(公告)号：US07415357B1

公开(公告)日：2008-08-19

申请号：US11683233

申请日：2007-03-07

申请人： Petr Stluka ,  Karel Marik ,  Josef Rieger

发明人： Petr Stluka ,  Karel Marik ,  Josef Rieger

IPC分类号： G06F19/00

CPC分类号： E21B43/34 ,  E21B47/10 ,  E21B49/08

摘要： The subject mater herein relates to oil well testing and, more particularly, automated oil well test classification. Various embodiments described herein provide systems, methods, and software for statistical analysis and classification of oil well tests. Some embodiments include receiving a first set of oil well test results from one or more measurement devices of a well test separator, storing the first set of oil well test results in a database, and annotating one or more tests of the first set oil well test results. The annotated test results are then used to build one or more classification models to enable automated oil well test classification as new oil well tests are performed.

摘要翻译： 本文涉及油井试验，更具体地说，涉及油井试验分类。 本文描述的各种实施例提供用于油井测试的统计分析和分类的系统，方法和软件。 一些实施例包括从井测试分离器的一个或多个测量装置接收第一组油井测试结果，将第一组油井测试结果存储在数据库中，并注释第一组油井试验的一个或多个试验 结果。 然后，注释的测试结果用于构建一个或多个分类模型，以便在执行新的油井测试时实现自动化油井测试分类。

公开(公告)号：US20080217005A1

公开(公告)日：2008-09-11

申请号：US11683233

申请日：2007-03-07

申请人： Petr Stluka ,  Karel Marik ,  Josef Rieger

发明人： Petr Stluka ,  Karel Marik ,  Josef Rieger

IPC分类号： E21B47/00

CPC分类号： E21B43/34 ,  E21B47/10 ,  E21B49/08

摘要： The subject mater herein relates to oil well testing and, more particularly, automated oil well test classification. Various embodiments described herein provide systems, methods, and software for statistical analysis and classification of oil well tests. Some embodiments include receiving a first set of oil well test results from one or more measurement devices of a well test separator, storing the first set of oil well test results in a database, and annotating one or more tests of the first set oil well test results. The annotated test results are then used to build one or more classification models to enable automated oil well test classification as new oil well tests are performed.

摘要翻译： 本文涉及油井试验，更具体地说，涉及油井试验分类。 本文描述的各种实施例提供用于油井测试的统计分析和分类的系统，方法和软件。 一些实施例包括从井测试分离器的一个或多个测量装置接收第一组油井测试结果，将第一组油井测试结果存储在数据库中，并注释第一组油井试验的一个或多个试验 结果。 然后，注释的测试结果用于构建一个或多个分类模型，以便在执行新的油井测试时实现自动化油井测试分类。

公开(公告)号：US07460915B2

公开(公告)日：2008-12-02

申请号：US11471919

申请日：2006-06-21

申请人： Karel Marik ,  Roman Navratil ,  Petr Stluka

发明人： Karel Marik ,  Roman Navratil ,  Petr Stluka

IPC分类号： G05B13/04 ,  G05B21/00

CPC分类号： G05B13/04

摘要： In a process control system, the hidden properties of a catalyst are estimated by including those properties in hidden states within a state space model and solving the state space model based on measurable inputs and outputs of the process. The process may include defining a state space model for a process having a catalyst state comprising a hidden catalyst property; defining a set of empirically measurable input variables for the state space model, defining a set of output variables for the state space model, measuring a set of input values corresponding to the set of input variables; measuring a set of output values corresponding to the set of output variables; and estimating the hidden catalyst property based on the input values, the output values, and the state space model.

摘要翻译： 在过程控制系统中，通过将状态空间模型中的隐藏状态包括这些属性来估计催化剂的隐藏特性，并且基于过程的可测量输入和输出来求解状态空间模型。 该方法可以包括为具有包含隐藏的催化剂性质的催化剂状态的方法定义状态空间模型; 为状态空间模型定义一组经验可测量的输入变量，为状态空间模型定义一组输出变量，测量与该组输入变量相对应的一组输入值; 测量与该组输出变量相对应的一组输出值; 并基于输入值，输出值和状态空间模型估计隐藏的催化剂性质。

公开(公告)号：US09256846B2

公开(公告)日：2016-02-09

申请号：US13473422

申请日：2012-05-16

申请人： Petr Stluka ,  Eva Jerhotova ,  Karel Marik ,  Ondrej Holub ,  Wendy Foslien ,  Rylan Clark

发明人： Petr Stluka ,  Eva Jerhotova ,  Karel Marik ,  Ondrej Holub ,  Wendy Foslien ,  Rylan Clark

IPC分类号： G06F17/30 ,  G06Q10/06

CPC分类号： G06Q10/06 ,  G06F17/30598

摘要： A system and method obtain a database stored on a storage device containing information on multiple assets, the information including measurements taken from devices monitoring each asset, and context information corresponding to the environment the items are subjected to. The system and method groups assets via a computer system into a homogenous group as a function of selected context information and performs analytics via the computer system on the grouped assets to manage the assets.

摘要翻译： 系统和方法获得存储在存储设备上的数据库，其中包含有关多个资产的信息，该信息包括从监控每个资产的设备获取的测量值，以及与该项目所处环境相对应的上下文信息。 系统和方法通过计算机系统将资产作为所选上下文信息的函数组合成同质组，并通过计算机系统对分组的资产进行分析以管理资产。

公开(公告)号：US20130311437A1

公开(公告)日：2013-11-21

申请号：US13473422

申请日：2012-05-16

申请人： Petr Stluka ,  Eva Jerhotova ,  Karel Marik ,  Ondrej Holub ,  Wendy Foslien ,  Rylan Clark

发明人： Petr Stluka ,  Eva Jerhotova ,  Karel Marik ,  Ondrej Holub ,  Wendy Foslien ,  Rylan Clark

IPC分类号： G06F17/30

CPC分类号： G06Q10/06 ,  G06F17/30598

摘要： A system and method obtain a database stored on a storage device containing information on multiple assets, the information including measurements taken from devices monitoring each asset, and context information corresponding to the environment the items are subjected to. The system and method groups assets via a computer system into a homogenous group as a function of selected context information and performs analytics via the computer system on the grouped assets to manage the assets.

摘要翻译： 系统和方法获得存储在存储设备上的数据库，其中包含有关多个资产的信息，该信息包括从监控每个资产的设备获取的测量值，以及与该项目所处环境相对应的上下文信息。 系统和方法通过计算机系统将资产作为所选上下文信息的函数组合成同质组，并通过计算机系统对分组的资产进行分析以管理资产。

公开(公告)号：US20070299619A1

公开(公告)日：2007-12-27

申请号：US11471919

申请日：2006-06-21

申请人： Karel Marik ,  Roman Navratil ,  Petr Stluka

发明人： Karel Marik ,  Roman Navratil ,  Petr Stluka

IPC分类号： G06F19/00 ,  G06F17/40

CPC分类号： G05B13/04

摘要： In a process control system, the hidden properties of a catalyst are estimated by including those properties in hidden states within a state space model and solving the state space model based on measurable inputs and outputs of the process. In one embodiment, a method for controlling a process of the type that utilizes a catalyst comprises the steps of: defining a state space model for the process, the state space model including a catalyst state comprising a hidden catalyst property; defining a set of input variables for the state space model, wherein the input variables are empirically measurable properties of the process; defining a set of output variables for the state space model, wherein the output variables are empirically measurable properties of the process; measuring a set of input values corresponding to the set of input variables; measuring a set of output values corresponding to the set of output variables; and estimating the hidden catalyst property based on the input values, the output values, and the state space model.

摘要翻译： 在过程控制系统中，通过将状态空间模型中的隐藏状态包括这些属性来估计催化剂的隐藏特性，并且基于过程的可测量输入和输出来求解状态空间模型。 在一个实施方案中，用于控制利用催化剂的类型的方法的方法包括以下步骤：定义该方法的状态空间模型，所述状态空间模型包括包含隐藏的催化剂性质的催化剂状态; 为状态空间模型定义一组输入变量，其中输入变量是过程的经验可测量属性; 为状态空间模型定义一组输出变量，其中输出变量是过程的经验可测量属性; 测量与该组输入变量相对应的一组输入值; 测量与该组输出变量相对应的一组输出值; 并基于输入值，输出值和状态空间模型估计隐藏的催化剂性质。

公开(公告)号：US20100299105A1

公开(公告)日：2010-11-25

申请号：US12777826

申请日：2010-05-11

申请人： Jiri Vass ,  Petr Stluka ,  Bin Sai

发明人： Jiri Vass ,  Petr Stluka ,  Bin Sai

IPC分类号： G06F15/00

CPC分类号： G05B23/0283 ,  G05B19/41865 ,  G05B23/0254 ,  G05B2219/32234 ,  Y02P90/20

摘要： A method for online condition-based monitoring (CBM) of a tank farm including a plurality of storage tanks includes providing a tank model including a diagnostic and/or predictive tank model based on calculated tank metrics that is derived from historical data including tank operation data. The calculated tank metrics include tank operational metrics based on the tank operational data for the storage tanks and tank condition metrics based on tank inspection or maintenance data for the storage tanks. The tank model provides relationships between the tank condition metrics and the tank operational metrics. Results are generated using the tank model including at least one failure indicia for at least a first of the storage tanks using the calculated tank metrics and current measured data for the first tank as inputs to the tank model. The failure indicia is processed for scheduling at least one maintenance task for the first tank.

摘要翻译： 一种用于包括多个储罐的储罐场的基于状态的监测（CBM）的方法，包括基于从包括油箱操作数据的历史数据导出的计算油箱量度提供包括诊断和/或预测油箱模型的油箱模型 。 计算的油罐尺度包括基于储罐操作数据的坦克操作指标和基于坦克检查或储罐维护数据的油箱状况指标。 坦克模型提供了坦克条件指标和坦克操作指标之间的关系。 使用罐模型生成结果，该罐模型包括使用所计算的罐尺度和第一罐的当前测量数据作为罐模型的输入的至少第一储罐的至少一个故障标记。 对故障标记进行处理，以调度第一个储罐的至少一个维护任务。

公开(公告)号：US08249829B2

公开(公告)日：2012-08-21

申请号：US12777826

申请日：2010-05-11

申请人： Jiri Vass ,  Petr Stluka ,  Bin Sai

发明人： Jiri Vass ,  Petr Stluka ,  Bin Sai

IPC分类号： G06F19/00

CPC分类号： G05B23/0283 ,  G05B19/41865 ,  G05B23/0254 ,  G05B2219/32234 ,  Y02P90/20

摘要： A method for online condition-based monitoring (CBM) of a tank farm including a plurality of storage tanks includes providing a tank model including a diagnostic and/or predictive tank model based on calculated tank metrics that is derived from historical data including tank operation data. The calculated tank metrics include tank operational metrics based on the tank operational data for the storage tanks and tank condition metrics based on tank inspection or maintenance data for the storage tanks. The tank model provides relationships between the tank condition metrics and the tank operational metrics. Results are generated using the tank model including at least one failure indicia for at least a first of the storage tanks using the calculated tank metrics and current measured data for the first tank as inputs to the tank model. The failure indicia is processed for scheduling at least one maintenance task for the first tank.

摘要翻译： 一种用于包括多个储罐的储罐场的基于状态的监测（CBM）的方法，包括基于从包括油箱操作数据的历史数据导出的计算油箱量度提供包括诊断和/或预测油箱模型的油箱模型 。 计算的油罐尺度包括基于储罐操作数据的坦克操作指标和基于坦克检查或储罐维护数据的油箱状况指标。 坦克模型提供了坦克条件指标和坦克操作指标之间的关系。 使用罐模型生成结果，该罐模型包括使用所计算的罐尺度和第一罐的当前测量数据作为罐模型的输入的至少第一储罐的至少一个故障标记。 对故障标记进行处理，以调度第一个储罐的至少一个维护任务。

公开(公告)号：US07908300B2

公开(公告)日：2011-03-15

申请号：US12061540

申请日：2008-04-02

申请人： Petr Stluka ,  Petr Cisar ,  Jiri Rojicek

发明人： Petr Stluka ,  Petr Cisar ,  Jiri Rojicek

IPC分类号： G06F7/00 ,  G06F17/30 ,  G06F13/14

CPC分类号： G06F17/30

摘要： Methods (100), algorithms, and implementing systems (200) for guided annotation of process deviations by an individual responsible for annotations (e.g. process operator) for a manufacturing process having an associated computing system (210) including a historical database (stored in memory 219). The historical database is provided (101) including data associated with a plurality of process performance measures including stored deviations for the plurality of process measures, stored quantitative deviation attributes thereof and at least one cause associated with each of the stored deviations process performance measures. The method includes the individual responsible for annotation selecting at least one present deviation (D) to be annotated responsive to a deviation in a target process performance measure (T) selected from the plurality of process measures (102). Automatically, the stored quantitative attributes associated with D, T, and a target value or target interval for T are retrieved (103). The database is searched to identify a plurality of similar deviations from the stored deviations determined to be similar to D and the plurality of similar deviations are statistically processed to generate a listing indicating a relative likelihood of the at least one cause associated with the plurality of similar deviations (104). The listing is presented to the individual to prompt selection of at least one present cause for D from the cause(s) associated with the plurality of similar deviations (105).

摘要翻译： 用于对具有包括历史数据库（存储在存储器中）的相关联的计算系统（210）的制造过程的负责注释的个体（例如过程操作员）进行指导注释过程偏差的方法（100），算法和实现系统（200） 219）。 提供历史数据库（101），包括与多个处理性能测量相关联的数据，包括多个处理测量的存储偏差，其存储的定量偏差属性以及与存储的偏差过程执行度量中的每一个相关联的至少一个原因。 该方法包括负责注释的个体，其响应于从多个处理措施（102）中选择的目标过程绩效测量（T）的偏差而选择要注释的至少一个当前偏差（D）。 自动地，检索与D，T相关联的存储的定量属性以及T的目标值或目标间隔（103）。 搜索数据库以识别与被确定为类似于D的所存储的偏差中的多个相似的偏差，并且对所述多个相似的偏差进行统计处理以产生表示与所述多个相似的相关联的所述至少一个原因的相对似然性的列表 偏差（104）。 该列表被呈现给个人以提示从与多个相似偏差（105）相关联的原因中选择D的至少一个当前原因。

公开(公告)号：US20090271150A1

公开(公告)日：2009-10-29

申请号：US12108076

申请日：2008-04-23

申请人： Petr Stluka ,  Jiri Rojicek

发明人： Petr Stluka ,  Jiri Rojicek

IPC分类号： G06F15/00

CPC分类号： G05B23/0232

摘要： A method for automatically monitoring the performance of equipment (100) includes the step (101) of compiling current operating conditions including at least one current sensor reading and at least one current performance measurement associated with the current conditions (PMc). A historical database including a plurality of stored operating conditions is searched (102), each stored operating condition including at least one stored sensor reading and at least one associated stored performance measure (PM*), wherein at least one similar operating condition is identified in the search using distances between the current operating conditions and the plurality of stored operating conditions. The performance measure associated with the similar operating condition is fit to generate a regression model (103). The regression model is applied to the current operating condition (104) to generate a model estimate for the performance measure for the current operating condition (PMe). A first difference between PMc and said PMe is computed (105). The first difference is compared to a predetermined threshold, wherein a warning is automatically generated if the first difference has a value greater than the predetermined threshold (106).

摘要翻译： 用于自动监测设备（100）的性能的方法包括编译当前操作条件的步骤（101），包括至少一个电流传感器读数和与当前条件（PMc）相关联的至少一个当前性能测量。 搜索包括多个存储的操作条件的历史数据库（102），每个存储的操作条件包括至少一个存储的传感器读数和至少一个相关联的存储性能测量（PM *），其中至少一个类似的操作条件在 使用当前操作条件和多个存储的操作条件之间的距离进行搜索。 与类似操作条件相关的性能测量适合于生成回归模型（103）。 将回归模型应用于当前操作条件（104）以产生用于当前操作条件（PMe）的性能测量的模型估计。 计算PMc和PMe之间的第一个差异（105）。 将第一差异与预定阈值进行比较，其中如果第一差异具有大于预定阈值（106）的值，则自动生成警告。