-
公开(公告)号：US20190205360A1
公开(公告)日：2019-07-04
申请号：US16235387
申请日：2018-12-28
Applicant: University of Southern California , Chevron U.S.A. Inc.
Inventor： CHUNGMING CHEUNG , PALASH GOYAL , ARASH SABER TEHRANI , VIKTOR K. PRASANNA , LISA ANN BRENSKELLE
CPC classification number: G06N3/08 , E21B47/00 , E21B2041/0028 , G06F17/18 , G06N3/084 , G06N5/046 , G06N20/10
Abstract: A computer-implemented method for prioritizing candidate objects on which to perform a physical process includes receiving a time series history of measurements from each of a plurality of candidate objects at a data processing framework. The method further includes reducing dimensionality of the time series history of measurements with a convolutional autoencoder to obtain latent features for each of the plurality of candidate objects. The method also includes applying a kernel regression model to the latent features to generate a predicted value of physical output for performing the physical process on each of the plurality of candidate objects. The method additionally includes generating a prioritization of the candidate objects based on the values of physical output. The method involves selecting fewer than all of the plurality of candidate objects on which to perform the physical process. The selected candidate objects are based on the prioritization.
-
公开(公告)号：US09850712B2
公开(公告)日：2017-12-26
申请号：US14534119
申请日：2014-11-05
Applicant: Schlumberger Technology Corporation
Inventor： Junichi Sugiura
CPC classification number: E21B7/04 , E21B44/005 , E21B2041/0028
Abstract: Methods are provided for determining the drilling state of a downhole tool and controlling the trajectory of the downhole tool in a wellbore during a drilling operation. One method may include identifying a drilling parameter indicative of the drilling state of the downhole tool in the wellbore. The method may also include determining the drilling state based on the identified drilling parameter. The identified drilling parameter may be obtained from a sensor communicatively coupled with a processor and disposed in the wellbore. The method may further include adjusting the operation of an integral controller based on the determined drilling state to control the trajectory of the downhole tool in the wellbore during the drilling operation.
-
公开(公告)号：US20170352169A1
公开(公告)日：2017-12-07
申请号：US15662030
申请日：2017-07-27
Applicant: Ubiterra Corporation
Inventor： Peter W. Flanagan
CPC classification number: G06T11/206 , E21B44/00 , E21B47/00 , E21B47/024 , E21B47/09 , E21B49/00 , E21B2041/0028 , G06F3/04815 , G06F3/1454 , G06T7/60 , G06T19/20 , G06T2207/20101 , G06T2210/21 , G06T2219/2012
Abstract: A method of visualizing drilling information in a shared visualization environment include receiving a request to initiate a shared visualization session, assigning the requesting client device as the master of the initiated session, and transmitting visualization data to the client device for rendering and display. Additional client devices may join the visualization session and may display the visualization data based on attributes controlled by the master client device. Data displayed in a visualization session may include two- and three-dimensional data representing a composite wellbore derived from actual and planned wellbore data. Generation of the two- and three-dimensional data may include projecting data corresponding to the composite wellbore onto flat and curved planes and may further include supplementing the composite wellbore data with seismic and other drilling-related data.
-
公开(公告)号：US20170293835A1
公开(公告)日：2017-10-12
申请号：US15091779
申请日：2016-04-06
Applicant: Saudi Arabian Oil Company
Inventor： Mohammed D. AlAjmi , Sulaiman A. AlArifi
CPC classification number: G06N3/0427 , E21B49/00 , E21B2041/0028 , G06F16/23 , G06N3/084
Abstract: A data base is updated that contains oil production rate test data. The oil production rate test data are collected, uploaded, and divided into subsets by a downstream-to-upstream pressure ratio. For each subset, the data is split by an oil flow rate. For each resulted subset, the data is split randomly into training data sets and testing data sets. A feed-forward back propagation neural network is built for each subset in the third step. The simulation model is calibrated utilizing actual production history from the training data set. The model performance is tested utilizing actual production history from the testing data set. If the error is within an acceptable and practicable tolerance, the resulting model is used to simulate future multiphase choke performance. Steps are repeated within a specific frequency depending on the production data flow into the data base.
-
公开(公告)号：US09695680B2
公开(公告)日：2017-07-04
申请号：US14526684
申请日：2014-10-29
Applicant: CONOCOPHILLIPS COMPANY
Inventor： Patrick W. Bergman
CPC classification number: E21B43/121 , E21B2041/0028 , F04B47/12
Abstract: A logic used to auto-adjust plunger lift system parameters optimizes oil and gas well production with minimal human interaction. The auto-adjustments place and maintain the well in an optimized state wherein the well has either a Minimum-OFF time (e.g., length of time just long enough for the plunger to reach the bottom of the well), or Minimum-ON time (e.g., flowing just long enough for the plunger to reach the surface) cycle.
-
Patent Agency Ranking
公开(公告)号：US09587478B2
公开(公告)日：2017-03-07
申请号：US13154921
申请日：2011-06-07
Applicant: David P. Moran , Stuart R. Oliver
Inventor： David P. Moran , Stuart R. Oliver
CPC classification number: E21B44/00 , E21B2041/0028
Abstract: A computer-assisted method for optimizing a drilling tool assembly, the method comprising defining a desired drilling plan; determining current drilling conditions; determining current drilling tool parameters of at least two drilling tool assembly components; analyzing the current drilling conditions and the current drilling tool parameters to define a base drilling condition; comparing the base drilling condition to the desired drilling plan; determining a drilling tool parameter to adjust to achieve the desired drilling plan; and adjusting at least one drilling tool parameter of at least one of the two drilling tool assembly components based on the comparing the base drilling condition to the desired drilling plan.
Abstract translation: 一种用于优化钻具组件的计算机辅助方法，所述方法包括定义所需的钻孔平面图; 确定当前钻井条件; 确定至少两个钻具组件部件的当前钻具参数; 分析当前的钻井条件和当前的钻具参数来定义基础钻井条件; 将基础钻井条件与期望的钻井计划进行比较; 确定钻具参数以进行调整以实现所需的钻孔计划; 并且基于将所述基础钻井条件与期望的钻井计划进行比较来调整所述两个钻削组件部件中的至少一个的至少一个钻孔参数。
-
7.发明授权Methods, systems, and computer-readable media for real-time oil and gas field production optimization using a proxy simulator 有权使用代理模拟器实时油气田生产优化的方法，系统和计算机可读介质公开(公告)号：US08352226B2
公开(公告)日：2013-01-08
申请号：US11669921
申请日：2007-01-31
Applicant: Alvin Stanley Cullick , William Douglas Johnson
Inventor： Alvin Stanley Cullick , William Douglas Johnson
CPC classification number: E21B49/00 , E21B43/00 , E21B2041/0028
Abstract: Methods, systems, and computer readable media are provided for real-time oil and gas field production optimization using a proxy simulator. A base model of a reservoir, well, pipeline network, or processing system is established in one or more physical simulators. A decision management system is used to define control parameters, such as valve settings, for matching with observed data. A proxy model is used to fit the control parameters to outputs of the physical simulators, determine sensitivities of the control parameters, and compute correlations between the control parameters and output data from the simulators. Control parameters for which the sensitivities are below a threshold are eliminated. The decision management system validates control parameters which are output from the proxy model in the simulators. The proxy model may be used for predicting future control settings for the control parameters.
Abstract translation: 提供了使用代理模拟器实时油气田生产优化的方法，系统和计算机可读介质。 在一个或多个物理模拟器中建立了储层，井，管网或处理系统的基本模型。 决策管理系统用于定义与观测数据匹配的控制参数，如阀门设置。 代理模型用于将控制参数拟合到物理模拟器的输出，确定控制参数的灵敏度，并计算控制参数与模拟器的输出数据之间的相关性。 消除了灵敏度低于阈值的控制参数。 决策管理系统验证在模拟器中从代理模型输出的控制参数。 代理模型可用于预测控制参数的未来控制设置。
-
公开(公告)号：US20120316787A1
公开(公告)日：2012-12-13
申请号：US13154921
申请日：2011-06-07
Applicant: David P. Moran , Stuart R. Oliver
Inventor： David P. Moran , Stuart R. Oliver
CPC classification number: E21B44/00 , E21B2041/0028
Abstract: A computer-assisted method for optimizing a drilling tool assembly, the method comprising defining a desired drilling plan; determining current drilling conditions; determining current drilling tool parameters of at least two drilling tool assembly components; analyzing the current drilling conditions and the current drilling tool parameters to define a base drilling condition; comparing the base drilling condition to the desired drilling plan; determining a drilling tool parameter to adjust to achieve the desired drilling plan; and adjusting at least one drilling tool parameter of at least one of the two drilling tool assembly components based on the comparing the base drilling condition to the desired drilling plan.
Abstract translation: 一种用于优化钻具组件的计算机辅助方法，所述方法包括定义所需的钻孔平面图; 确定当前钻井条件; 确定至少两个钻具组件部件的当前钻具参数; 分析当前的钻井条件和当前的钻具参数来定义基础钻井条件; 将基础钻井条件与期望的钻井计划进行比较; 确定钻具参数以进行调整以实现所需的钻孔计划; 并且基于将所述基础钻井条件与期望的钻井计划进行比较来调整所述两个钻削组件部件中的至少一个的至少一个钻孔参数。
-
9.发明授权公开(公告)号：US08046314B2
公开(公告)日：2011-10-25
申请号：US12175429
申请日：2008-07-17
Applicant: Thomas Graf , Georg Zangl
Inventor： Thomas Graf , Georg Zangl
CPC classification number: E21B44/00 , E21B2041/0028
Abstract: The invention relates to a method for performing an oilfield operation. The method steps include obtaining oilfield data sets associated with oilfield entities, generating a stochastic database from the oilfield data sets based on an artificial neural network of the oilfield data sets, screening the oilfield data sets to identify candidates from the oilfield entities, wherein the screening is based on the stochastic database, performing a detail evaluation of each candidates, selecting an oilfield entity from the candidates based on the detail evaluation, and performing the oilfield operation for the selected oilfield entity.
Abstract translation: 本发明涉及一种进行油田作业的方法。 所述方法步骤包括获得与油田实体相关的油田数据集，基于油田数据集的人工神经网络从油田数据集生成随机数据库，筛选油田数据集以从油田实体识别候选物，其中筛选 基于随机数据库，对每个候选人进行详细评估，基于详细评估从候选者中选择油田实体，并对所选择的油田实体进行油田作业。
-
公开(公告)号：US20110220410A1
公开(公告)日：2011-09-15
申请号：US13062782
申请日：2009-09-14
Applicant: Walter Aldred , Jonathan Dunlop , James Belaskie
Inventor： Walter Aldred , Jonathan Dunlop , James Belaskie
CPC classification number: G05B13/04 , E21B7/04 , E21B41/0092 , E21B44/00 , E21B2041/0028
Abstract: A changepoint detector for modeling data received from at least one sensor in a proces in the hydrocarbon industry. The data is segmented into a plurality of segments and fo each segment a model is assigned and the data corresponding to the segment fit to tha model. A plurality of segmentations are thus provided and these segmentations ar evaluated and assigned weights indicative of the fit of the models of the segmentation t the underlying data. The segmentation models are further used to calculate a result tha may be input to a process control program.
Abstract translation: 一种用于建模从烃工业中的至少一个传感器接收的数据的变点检测器。 数据被分割成多个段，并且每个段分配模型，并且对应于段的数据适合于模型。 因此，提供了多个分段，并且这些分段被ar评估并且分配了指示分割模型的拟合的权重，即底层数据。 分割模型还被用于计算可以输入到过程控制程序的结果。
-
-
-
-
-
-
-
-
-
Search Results
270
records
(took 0.033 seconds)
