DRILL BIT WEAR AND BEHAVIOR ANALYSIS AND CORRELATION

    公开(公告)号:WO2022186893A1

    公开(公告)日:2022-09-09

    申请号:PCT/US2021/070616

    申请日:2021-05-27

    Inventor: SAMUEL, Robello

    Abstract: A method comprises determining a measure of drilling efficiency, such as a friction factor or mechanical specific energy, of a drill bit used in a drilling operation of a wellbore and performing video analytics of at least one video that includes a substantially complete view of the wear surfaces of a drill bit to determine drill bit wear of the drill bit that is a result of the drilling operation of the wellbore. The method includes determining a cause of the drill bit wear based on the measure of drilling efficiency and the drill bit wear determined by performing video analytics. Based on correlation or modeling of drill bit wear and the measure of drilling efficiency, drill bit wear can be predicted and some types of drilling dysfunction mitigated in subsequent drilling runs.

    EFFECT OF HOLE CLEANING ON TORQUE AND DRAG
    2.
    发明申请

    公开(公告)号:WO2022146412A1

    公开(公告)日:2022-07-07

    申请号:PCT/US2020/067176

    申请日:2020-12-28

    Abstract: The disclosure presents processes and methods for determining an adjusted drag friction factor, where the adjusting utilizes a hole cleaning function. In some aspects, the drag friction factor utilizes viscous drag. In some aspects, the drag friction factor utilizes viscous torque. In some aspects, the drag friction factor can be utilized to determine one or more decomposed friction factors. The decomposed friction factors or the adjusted drag friction factor can be utilized in a friction processor to improve the efficiency of borehole operations. The hole cleaning function can utilize various parameters, for example, a cuttings density, a cuttings load, a cuttings shape, a cuttings size, a deviation, a drill pipe rotation rate, a drill pipe size, a flow regime, a hole size, a mud density, a mud rheology, a mud velocity, a pipe eccentricity, and other parameters. A system is disclosed that is capable of implementing the processes and methods.

    DETECTING WELLPATH TORTUOSITY VARIABILITY AND CONTROLLING WELLBORE OPERATIONS

    公开(公告)号:WO2022132137A1

    公开(公告)日:2022-06-23

    申请号:PCT/US2020/065172

    申请日:2020-12-15

    Inventor: SAMUEL, Robello

    Abstract: Methods and systems for determining wellpath tortuosity are disclosed. In accordance with an embodiment, a tortuosity of a borehole segment is determined and a tortuosity of a casing associated with the borehole segment is determined based, at least in part, on the tortuosity of the borehole segment and a path conformity characteristic of the casing. A tortuosity variation factor is generated based on a value of the tortuosity of the casing relative to a value of the tortuosity of the borehole segment.

    INTEGRATED THERMAL AND STRESS ANALYSIS FOR A MULTIPLE TUBING COMPLETION WELL

    公开(公告)号:WO2021034360A1

    公开(公告)日:2021-02-25

    申请号:PCT/US2020/033548

    申请日:2020-05-19

    Abstract: A well operation simulator predicts temperature and pressure profdes of a multi-tubing completion well for well design. The simulator is comprised of modules, which when executed, determine a first set of design limits based on stress conditions arising from the temperature and pressure profiles from a multi¬ tubing drilling module and a multi -tubing production module for drilling and production operations. A multi-tubing multi-string module predicts the annular fluid expansion (AFE) and annular pressure buildup (APB) of the multi-tubing well from the previously calculated temperature profile, pressure profile, and stress conditions and determines a second set of design limits with the AFE/APB effects in addition to the temperature profile and pressure profile predicted from multi-tubing drilling module and multi-tubing production module. The first and second sets of design limits are depicted using one or more design limit envelope plots and safety factors plots to depict the design limitations of the well.

    CONVEYANCE DEPLOYMENT SYSTEMS AND METHODS TO DEPLOY CONVEYANCES

    公开(公告)号:WO2021034337A1

    公开(公告)日:2021-02-25

    申请号:PCT/US2019/058914

    申请日:2019-10-30

    Abstract: The disclosed embodiments include well operation evaluation systems and methods to analyze a broomstick chart of a well operation. The method includes receiving data indicative of a well operation involving deploying a conveyance to a predetermined location. The method also includes determining one or more conditions that impact deployment of the conveyance to the predetermined location. The method further includes determining a likelihood of occurrence of the one or more conditions. The method further includes determining one or more operations which, when performed by one or more tools used during the well operation, overcome the one or more conditions.

    RATE OF PENETRATION OPTIMIZATION FOR WELLBORES USING MACHINE LEARNING

    公开(公告)号:WO2019036063A1

    公开(公告)日:2019-02-21

    申请号:PCT/US2018/021703

    申请日:2018-03-09

    Abstract: A system and method for controlling a drilling tool inside a wellbore makes use of projection of optimal rate of penetration (ROP) and optimal controllable parameters such as weight-on-bit (WOB), and rotations-per-minute (RPM) for drilling operations. Optimum controllable parameters for drilling optimization can be predicted using a data generation model to produced synthesized data based on model physics, an ROP model, and stochastic optimization. The synthetic data can be combined with real-time data to extrapolate the data across the WOB and RPM space. The values for WOB an RPM can be controlled to steer a drilling tool. Examples of models used include a non-linear model, a linear model, a recurrent generative adversarial network (RGAN) model, and a deep neural network model.

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