利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

7 条记录 (耗时 0.142 秒)

    Estimating Reservoir Production Rates Using Machine Learning Models for Wellbore Operation Control
    1.
    发明申请
    Estimating Reservoir Production Rates Using Machine Learning Models for Wellbore Operation Control 有权

    公开(公告)号：US20220205354A1

    公开(公告)日：2022-06-30

    申请号：US17136895

    申请日：2020-12-29

    申请人： Landmark Graphics Corporation

    发明人： Soumi Chaki ,  Honggeun Jo ,  Terry Wong ,  Yevgeniy Zagayevskiy ,  Dominic Camilleri

    IPC分类号： E21B47/022 ,  E21B47/12 ,  G06N3/08 ,  G01V1/46 ,  G01V1/48

    摘要： A system is described for estimating well production and injection rates of a subterranean reservoir using machine learning models. The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. The processor may receive a set of static geological data about at least one subterranean reservoir in a subterranean formation. The processor may apply a trained convolutional neural network to the set of static geological data and data on initial states of dynamic reservoir properties to determine dynamic outputs of the subterranean reservoir. The processor may determine well data by extracting the set of static geological data and the dynamic outputs at well trajectories. And, the processor may apply a trained artificial neural network to the well data and subterranean grid information about the subterranean reservoir to generate estimated well production and injection rates.

    PETROLEUM RESERVOIR BEHAVIOR PREDICTION USING A PROXY FLOW MODEL
    2.
    发明申请
    PETROLEUM RESERVOIR BEHAVIOR PREDICTION USING A PROXY FLOW MODEL 有权

    公开(公告)号：US20210027144A1

    公开(公告)日：2021-01-28

    申请号：US16981080

    申请日：2018-05-15

    申请人： LANDMARK GRAPHICS CORPORATION

    发明人： Srinath Madasu ,  Yevgeniy Zagayevskiy ,  Terry Wong ,  Dominic Camilleri ,  Charles Hai Wang ,  Courtney Leeann Beck ,  Hanzi Mao ,  Hui Dong ,  Harsh Biren Vora

    IPC分类号： G06N3/04 ,  G06N3/08 ,  G06F30/20 ,  G01V99/00

    摘要： Using production data and a production flow record based on the production data, a deep neural network (DNN) is trained to model a proxy flow simulation of a reservoir. The proxy flow simulation of the reservoir is performed, using an ensemble Kalman filter (EnKF), based on the trained DNN. The EnKF assimilates new data through updating a current ensemble to obtain history matching by minimizing a difference between a predicted production output from the proxy flow simulation and measured production data from a field. Using the updated current ensemble, a second proxy flow simulation of the reservoir is performed based on the trained DNN. The assimilating and the performing are repeated while new data is available for assimilating. Predicted behavior of the reservoir is determined based on the proxy flow simulation of the reservoir. An indication of the predicted behavior is provided to facilitate production of fluids from the reservoir.

    Application Of The Ensemble Kalman Filter To Dynamic History Matching In Wellbore Production
    3.
    发明申请
    Application Of The Ensemble Kalman Filter To Dynamic History Matching In Wellbore Production 审中-公开

    公开(公告)号：US20200182051A1

    公开(公告)日：2020-06-11

    申请号：US16774883

    申请日：2020-01-28

    申请人： Landmark Graphics Corporation

    发明人： Andrey Filippov ,  Yevgeniy Zagayevskiy ,  Vitaly Khoriakov

    IPC分类号： E21B47/12 ,  G01F1/74

    摘要： A method for identifying a flow parameter in a wellbore may comprise identifying a state vector at a moment t, performing a flow simulation using a flow model, predicting the state vector and a covariance matrix at the moment t, updating the state vector with an EnKF algorithm, correcting the state vector at the moment t, and updating the flow simulation model. A system for identifying a flow parameter in a wellbore may comprise a distributed acoustic system into a wellbore and an information handling system. The distributed acoustic system may comprise a fiber optic cable and at least one measurement device.

    GAS SATURATION DISTRIBUTION MONITORING IN HYDROCARBON RESERVOIR
    4.
    发明申请
    GAS SATURATION DISTRIBUTION MONITORING IN HYDROCARBON RESERVOIR 有权

    公开(公告)号：US20220236444A1

    公开(公告)日：2022-07-28

    申请号：US17617476

    申请日：2019-07-29

    申请人： Landmark Graphics Corporation

    发明人： Youngchae Cho ,  Yang Cao ,  Yevgeniy Zagayevskiy ,  Terry W. Wong ,  Yuribia Patricia Munoz

    IPC分类号： G01V7/06 ,  E21B49/08 ,  E21B43/16

    摘要： A method includes collecting a first set of borehole gravity data at a first time step along a length of a first wellbore and collecting a second set of borehole gravity data at the first time step along a length of a second wellbore. The method also includes interpolating a third set of borehole gravity data at the first time step in an area between the first wellbore and the second wellbore using the first and the second sets of borehole gravity data. Further, the method includes determining a first fluid saturation and a fluid saturation change over time in a reservoir containing the first wellbore and the second wellbore using the first set, the second set, and the third set. Moreover, the method includes controlling wellbore production operations or wellbore injection operations at the first wellbore based on the fluid saturation change.

    Seamless Scaling Geomodeling
    6.
    发明申请
    Seamless Scaling Geomodeling 有权

    公开(公告)号：US20210225071A1

    公开(公告)日：2021-07-22

    申请号：US16753945

    申请日：2018-12-20

    申请人： Landmark Graphics Corporation

    发明人： Jeffrey Marc Yarus ,  Rae Mohan Srivastava ,  Yevgeniy Zagayevskiy ,  Gaetan Bardy ,  Maurice Gehin ,  Genbao Shi

    IPC分类号： G06T17/05 ,  G06F16/29 ,  G06T19/20

    摘要： A method for creating a seamless scalable geological model may comprise identifying one or more geological scales, establishing a geological tied system, identifying one or more graphical resolution levels for each of the one or more geological scales, constructing the seamless scalable geological model, and producing a post-process model. A system for creating a seamless scalable geological model may comprise an information handling system, which may comprise a random access memory, a graphics module, a main memory, a secondary memory, and one or more processors configured to run a seamless scalable geological model software.