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    EVENT PREDICTION USING STATE-SPACE MAPPING DURING DRILLING OPERATIONS
    1.
    发明申请
    EVENT PREDICTION USING STATE-SPACE MAPPING DURING DRILLING OPERATIONS 有权

    公开(公告)号：US20220003108A1

    公开(公告)日：2022-01-06

    申请号：US17256164

    申请日：2020-02-03

    Applicant: LANDMARK GRAPHICS CORPORATION

    Inventor： Mahdi Parak ,  Srinath Madasu ,  Egidio Marotta ,  Dale McMullin ,  Nishant Raizada

    IPC: E21B44/02 ,  G05B13/04 ,  G05B13/02 ,  G06N20/00

    Abstract: System and methods for event prediction during drilling operations are provided. Regression data associated with coefficients of a predictive model are retrieved for a downhole event during a drilling operation along a planned path of a wellbore. The regression data includes a record of changes in historical coefficient values associated with prior occurrences of the event. As the wellbore is drilled over different stages of the operation, a value of an operating variable is estimated based on values of the coefficients and real-time data acquired during each stage. A percentage change in coefficient values adjusted between successive stages of the operation is tracked. An occurrence of the downhole event is estimated, based on a correlation between the percentage change tracked for at least one coefficient and a corresponding change in the historical coefficient values. The path of the wellbore is adjusted, based on the estimated occurrence of the event.

    Automated optimization of real-time data frequency for modeling drilling operations
    2.
    发明授权
    Automated optimization of real-time data frequency for modeling drilling operations 有权

    公开(公告)号：US11492892B2

    公开(公告)日：2022-11-08

    申请号：US16652336

    申请日：2019-05-16

    Applicant: Landmark Graphics Corporation

    Inventor： Mahdi Parak ,  Srinath Madasu ,  Egidio Marotta

    IPC: E21B44/00 ,  E21B44/02 ,  E21B45/00 ,  G06N5/00

    Abstract: Systems and methods can automatically and dynamically determine an optimum frequency for data being input into a drilling optimization tool in order to provide predictive modeling for well drilling operations. The methods and systems selectively input sets of data having different frequencies into the drilling optimization tool to build different predictive models at different frequencies. An optimization algorithm such as Bayesian optimization is then applied to the models to identify in real time an optimum frequency for the data sets being input into the drilling optimization tool based on current operational and environmental parameters.

    Simulating fluid production using a reservoir model and a tubing model
    3.
    发明授权
    Simulating fluid production using a reservoir model and a tubing model 有权

    公开(公告)号：US11492875B2

    公开(公告)日：2022-11-08

    申请号：US16753146

    申请日：2017-11-13

    Applicant: LANDMARK GRAPHICS CORPORATION

    Inventor： Mahdi Parak ,  Joseph Chukwuma Nwachukwu

    IPC: E21B43/00 ,  G06F30/28 ,  E21B49/00 ,  G06F113/08 ,  G06F111/10 ,  E21B41/00

    Abstract: Fluid production can be simulated using a reservoir model and a tubing model. For example, pressure data and saturation data can be received from a reservoir model simulating a hydrocarbon reservoir in a subterranean formation. A tubing model can be generated by performing nodal analysis using the pressure data and the saturation data. A well-test result can be received that indicates an amount of fluid produced by the wellbore at a particular time. A tuned tubing model can be generated by adjusting the tubing model such that a tubing-model estimate of the amount of fluid produced by the wellbore at the particular time matches the well-test result. An estimated amount of fluid produced by the wellbore can then be determined using the tuned tubing model. The estimated amount of fluid produced by the wellbore may be used for production allocation or controlling a well tool.

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