Determining Gas Leak Flow Rate In A Wellbore Environment

    公开(公告)号:US20220366108A1

    公开(公告)日:2022-11-17

    申请号:US16301319

    申请日:2018-03-08

    Abstract: An estimated gas leak flow rate can be determined using a teaching set of concentration profiles, a regression model implemented by a machine-learning subsystem, and a subset of attributes measured within an environment. The teaching set of concentration profiles can include gas flow rates associated with relevant attributes. The regression model can be transformed into a gas leak flow regression model via the machine-learning subsystem using the teaching set. The subset of attributes measured within the environment can be applied to the gas leak flow regression model to determine other attributes absent from the subset of attributes and an estimated gas flow rate for the environment. A gas leak attenuation action can be performed in response to the estimated gas flow rate.

    ALGORITHM FOR OPTIMAL ICD CONFIGURATION USING A COUPLED WELLBORE-RESERVOIR MODEL

    公开(公告)号:US20210115763A1

    公开(公告)日:2021-04-22

    申请号:US17134090

    申请日:2020-12-24

    Abstract: The disclosed embodiments include a method, apparatus, and computer program product for improving production of an oil well. For example, one disclosed embodiment includes a system that includes at least one processor and at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations for generating a model of a wellbore in a wellbore simulator. The at least one processor further executes an algorithm that determines optimal parameters for inflow control devices (ICD) along a horizontal portion of the wellbore. The determined optimal parameters of the inflow control devices would yield a substantially uniform approach of at least one of water and gas along the horizontal portion of the wellbore.

    INFLOW CONTROL APPARATUS, METHODS, AND SYSTEMS

    公开(公告)号:US20190063195A1

    公开(公告)日:2019-02-28

    申请号:US16177211

    申请日:2018-10-31

    Abstract: In some embodiments, a simulation apparatus may comprise a processor and a memory to store a set of instructions, which when executed by the processor, forms a machine programmed to generate an analytical solution to simulate multiple scenarios for a total fluid flow rate in order to find one of the scenarios that meets a desired total flow rate for a fluid flow entering a portion of a screen to pass through one or more orifices in a base conduit covered by the screen. Additional apparatus, systems, and methods are described.

    INFLOW CONTROL APPARATUS, METHODS, AND SYSTEMS
    7.
    发明申请
    INFLOW CONTROL APPARATUS, METHODS, AND SYSTEMS 审中-公开
    流量控制装置,方法和系统

    公开(公告)号:US20160298429A1

    公开(公告)日:2016-10-13

    申请号:US14781685

    申请日:2014-10-24

    Abstract: In some embodiments, a simulation apparatus may comprise a processor and a memory to store a set of instructions, which when executed by the processor, forms a machine programmed to generate an analytical solution to simulate multiple scenarios for a total fluid flow rate in order to find one of the scenarios that meets a desired total flow rate for a fluid flow entering a portion of a screen to pass through one or more orifices in a base conduit covered by the screen. Additional apparatus, systems, and methods are described.

    Abstract translation: 在一些实施例中,模拟装置可以包括处理器和存储器,用于存储一组指令,当由处理器执行时,该指令形成被编程为生成分析解决方案的机器,以模拟总体流体流速的多个场景,以便 找到满足期望的总流速的情景之一,其中流体流进入屏幕的一部分以通过由屏幕覆盖的基底导管中的一个或多个孔。 描述了附加装置,系统和方法。

    Constructing digital twins for oil and gas recovery using Ensemble Kalman Filter

    公开(公告)号:US11572777B2

    公开(公告)日:2023-02-07

    申请号:US16615982

    申请日:2019-06-07

    Abstract: A self-adapting digital twin of a wellbore environment can be created. The self-adapting digital twin incorporates a standalone Ensemble Kalman Filter (EnKF) module with a constant parameter digital twin developed for a fixed environment. The standalone EnKF module receives streaming measurement data from multiple sensors and prediction data from the digital twin and executes the standalone EnKF module using the streaming measurement data and the prediction data from the digital twin. The results of executing the standalone EnKF module are input parameter corrections for the digital twin that are communicated to the digital twin. Output predictions of the digital twin are used to modify operational parameters of an oil or gas recovery process.

    SELF-ADAPTING DIGITAL TWINS
    9.
    发明申请

    公开(公告)号:US20210404328A1

    公开(公告)日:2021-12-30

    申请号:US16764240

    申请日:2019-05-15

    Abstract: A system and method can be used for implementing self-adapting digital twins. The system may include operations for estimate a state matrix characterizing behavior of a hydrocarbon recovery process implemented by a hydrocarbon recovery tool. Observed values of one or more sensors for at least one process parameter may be obtained from sensors deployed throughout the drilling environment. These sensors may be physical sensors acquiring information about physical changes within the drilling environment; and processes monitoring output of system functions and/or other processes. A data assimilation tool may be applied to the estimated state matrix and the observed values to produce an updated state matrix. The updated state matrix may be used as the previous state matrix in a subsequent time step, thus implementing a self-adapting digital twin model.

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