METHODS AND SYSTEMS FOR DETERMINING FORMATION PARAMETERS USING A ROTATING TOOL EQUIPPED WITH TILTED ANTENNA LOOPS
    31.
    发明申请
    METHODS AND SYSTEMS FOR DETERMINING FORMATION PARAMETERS USING A ROTATING TOOL EQUIPPED WITH TILTED ANTENNA LOOPS 有权
    使用倾斜天线的旋转工具确定形成参数的方法和系统

    公开(公告)号:US20150355368A1

    公开(公告)日:2015-12-10

    申请号:US14591540

    申请日:2015-01-07

    CPC classification number: G01V3/28 G01V3/30

    Abstract: Methods and systems for characterizing a formation are disclosed. A tool is placed in the formation. The tool comprises a perpendicular antenna set and a parallel antenna set. The perpendicular antenna set comprises at least one transmitter antenna oriented perpendicular to at least one receiver antenna and the parallel antenna set comprises at least one transmitter antenna oriented parallel to at least one receiver antenna. Data is obtained from the tool and used to determine a compensated geosignal for each of the perpendicular antenna set and the parallel antenna set. The determined compensated geosignal is used to characterize the formation.

    Abstract translation: 公开了用于表征地层的方法和系统。 工具被放置在地层中。 该工具包括垂直天线组和平行天线组。 垂直天线组包括垂直于至少一个接收机天线定向的至少一个发射机天线,并且所述并行天线组包括平行于至少一个接收机天线定向的至少一个发射机天线。 从工具获得数据,用于确定每个垂直天线组和平行天线组的补偿地理信号。 确定的补偿地质信号用于表征地层。

    EFFECTIVE RESISTIVITY MODELS FOR GEOSTEERING DECISIONS

    公开(公告)号:US20250027400A1

    公开(公告)日:2025-01-23

    申请号:US18355172

    申请日:2023-07-19

    Abstract: A method comprises obtaining measurement data of a subsurface formation while drilling a wellbore in the subsurface formation. The method comprises generating a horizontal resistivity model of the subsurface formation at respective depths along the wellbore based on the measurement data. The method comprises generating a vertical resistivity model of the subsurface formation at the respective depths along the wellbore based on the measurement data. The method comprises generating an effective resistivity at the respective depths along the wellbore based on the horizontal resistivity model and the vertical resistivity model to indicate a formation resistivity in each direction of the wellbore. The method comprises performing a drilling operation based on the effective resistivity.

    SCALING FACTOR FOR CALIBRATING ANTENNAS OF A WELLBORE TOOL

    公开(公告)号:US20240360753A1

    公开(公告)日:2024-10-31

    申请号:US18767702

    申请日:2024-07-09

    CPC classification number: E21B47/024 E21B49/00 G01V3/30 G01V3/38 G01V13/00

    Abstract: A system can calibrate inconsistencies in a wellbore tool. The system can receive a first set of measurements and a second set of measurements with respect to different electromagnetic antennas. The system can decouple a first multi-components tensor corresponding to the first set of measurements and a second multi-components tensor corresponding to the second set of measurements. The system can determine, using the decoupled first and second multi-components tensors, a scaling factor. The system can apply the scaling factor to a raw measurement received with respect to an electromagnetic antenna of the wellbore tool positioned in a wellbore to decouple a third multi-components tensor or to decoupled components of a fourth multi-components tensor for controlling a wellbore operation.

    Accurate and cost-effective inversion-based auto calibration methods for resistivity logging tools

    公开(公告)号:US11940587B2

    公开(公告)日:2024-03-26

    申请号:US17409518

    申请日:2021-08-23

    CPC classification number: G01V3/28 G01V1/50 G01V13/00

    Abstract: Systems and methods of the present disclosure relate to calibration of resistivity logging tool. A method to calibrate a resistivity logging tool comprises disposing the resistivity logging tool into a formation; acquiring a signal at each logging point with the resistivity logging tool; assuming a formation model for a first set of continuous logging points in the formation; inverting all of the signals for unknown model parameters of the formation model, wherein the formation model is the same for all of the continuous logging points in the first set; assigning at least one calibration coefficient to each type of signal, wherein the calibration coefficients are the same for the first set; and building an unknown vector that includes the unknown model parameters and the calibration coefficients, to calibrate the resistivity logging tool.

    Electromagnetic tool calibration for tilted antennas with undetermined orientation angles

    公开(公告)号:US11876567B2

    公开(公告)日:2024-01-16

    申请号:US17584220

    申请日:2022-01-25

    CPC classification number: H04B17/12 E21B47/13 G01R29/0807

    Abstract: A method includes detecting, via first and second receivers of a tool that are oriented at a first and a third tilt angle, respectively, a first and second measurement of a first signal transmitted by a transmitter of the tool that is oriented at a second tilt angle into a substantially non-conductive material. The method includes determining, based on the first and second measurements, a first tensor and conveying the tool into a first wellbore formed in a subsurface formation. The method includes detecting, via the first receiver and the second receiver, a third and fourth measurement, respectively, of a second signal transmitted by the transmitter and determining, based on the third and fourth measurements, a second tensor and determining a third tensor (having values independent of the first, second, and third tilt angles) based on a relationship between the first and second tensors.

    Compound signal for logging while drilling resistivity inversion

    公开(公告)号:US11874425B2

    公开(公告)日:2024-01-16

    申请号:US17522631

    申请日:2021-11-09

    CPC classification number: G01V3/28 E21B47/13

    Abstract: A method and system for identifying a blind spot in one or more decoupled measurements. The method may comprise disposing an electromagnetic well measurement system into a wellbore. The electromagnetic well measurement system comprise an electromagnetic transmitter and a plurality of electromagnetic receivers. The method may further comprise transmitting electromagnetic fields into a formation with the electromagnetic transmitter, measuring the electromagnetic fields with the plurality of electromagnetic receivers as one or more measurements at one or more depths in the wellbore, decoupling the one or more measurements to form decoupled measurements, identifying if a blind spot is in the decoupled measurements, and performing an inversion with the decoupled measurements.

    SCALING FACTOR FOR CALIBRATING ANTENNAS OF A WELLBORE TOOL

    公开(公告)号:US20230383643A1

    公开(公告)日:2023-11-30

    申请号:US17751994

    申请日:2022-05-24

    CPC classification number: E21B47/024 G01V3/30 E21B49/00

    Abstract: A system can calibrate inconsistencies in a wellbore tool. The system can receive a first set of measurements and a second set of measurements with respect to different electromagnetic antennas. The system can decouple a first multi-components tensor corresponding to the first set of measurements and a second multi-components tensor corresponding to the second set of measurements. The system can determine, using the decoupled first and second multi-components tensors, a scaling factor. The system can apply the scaling factor to a raw measurement received with respect to an electromagnetic antenna of the wellbore tool positioned in a wellbore to decouple a third multi-components tensor or to decoupled components of a fourth multi-components tensor for controlling a wellbore operation.

    Formation Evaluation Based On Piecewise Polynomial Model

    公开(公告)号:US20230214548A1

    公开(公告)日:2023-07-06

    申请号:US17570227

    申请日:2022-01-06

    Abstract: A method for formation evaluation may comprise forming one or more model parameters from one or more priori geological information and one or more downhole measurements, identifying one or more inversion controls, and performing a forward model operation using a piecewise polynomial model (PPM). The method may further comprise performing an optimization using at least the forward model operation, the one or more model parameters, and the one or more inversion controls, determining if a misfit between the one or more downhole measurements and the one or more model parameters is greater than or less than a threshold, and updating the forward model operation or the one or more priori geological information based at least in part on the misfit.

    In-situ calibration for multi-component signals

    公开(公告)号:US11604304B1

    公开(公告)日:2023-03-14

    申请号:US17514797

    申请日:2021-10-29

    Abstract: Systems and methods of the present disclosure relate to calibration of a resistivity tool. A method for in-situ calibration of a resistivity logging tool, comprises transmitting signals with transmitters of the resistivity logging tool; measuring voltages at two or more receivers located at different distances to the transmitters of the resistivity logging tool; decoupling two or more sets of multi-component tensors at two or more receivers based on the measured voltages; calculating a ratio signal from two or more sets of multi-component tensors; obtaining an apparent resistivity based on the ratio signal; simulating a dipole response tensor at the first receiver based on the apparent resistivity; comparing the first set of multi-component tensor with the dipole response tensor to acquire an in-situ calibration factor; and applying the in-situ calibration factor to multi-components for an inversion input.

    Accurate And Cost-Effective Inversion-Based Auto Calibration Methods For Resistivity Logging Tools

    公开(公告)号:US20230057184A1

    公开(公告)日:2023-02-23

    申请号:US17409518

    申请日:2021-08-23

    Abstract: Systems and methods of the present disclosure relate to calibration of resistivity logging tool. A method to calibrate a resistivity logging tool comprises disposing the resistivity logging tool into a formation; acquiring a signal at each logging point with the resistivity logging tool; assuming a formation model for a first set of continuous logging points in the formation; inverting all of the signals for unknown model parameters of the formation model, wherein the formation model is the same for all of the continuous logging points in the first set; assigning at least one calibration coefficient to each type of signal, wherein the calibration coefficients are the same for the first set; and building an unknown vector that includes the unknown model parameters and the calibration coefficients, to calibrate the resistivity logging tool.

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