ANTENNA TUNING AND FILTERING FOR DEEP TRANSMITTER EXTENSION SUBS

    公开(公告)号:US20240396200A1

    公开(公告)日:2024-11-28

    申请号:US18323219

    申请日:2023-05-24

    Abstract: Some implementations may include a subassembly configured for attachment to a tubular in a borehole. The subassembly may include a tuning module configured to tune a first antenna to a first frequency based on a design requirement of the first antenna or a desired distance between the first antenna and a second antenna. The subassembly also may include the first antenna configured to transmit or receive a signal at the first frequency to or from the second antenna.

    Look-ahead resistivity configuration

    公开(公告)号:US12152488B2

    公开(公告)日:2024-11-26

    申请号:US17497457

    申请日:2021-10-08

    Abstract: A system and a method for a look-ahead drill bit. The system may comprise an ultra-deep transmitter operable to transmit a low frequency signal into a formation, a shallow tool operable to transmit a high frequency signal into the formation, at least one ultra-deep receiver operable to record a reflected low frequency signal, and at least one pair of collocated receivers, wherein the at least one pair of collocated receivers are operable to record a reflected high frequency signal. A method may comprise transmitting a high frequency signal from the shallow tool into the formation, transmitting a low frequency signal from the ultra-deep transmitter into the formation, evaluating the reflected high frequency signal and the reflected low frequency signal on an information handling system with a look-ahead inversion, and steering the bottom hole assembly in the formation based on the subterranean formation property.

    Correcting borehole images using machine-learning models

    公开(公告)号:US11898435B2

    公开(公告)日:2024-02-13

    申请号:US17032015

    申请日:2020-09-25

    Abstract: Borehole images can be corrected using machine-learning models. For example, a system can train a machine-learning model based on a training dataset. The training dataset can include a first set of borehole images correlated to a second set of borehole images, where the second set of borehole images are less precise versions of the first set of borehole images. The system can then execute the trained machine-learning model in relation to an input borehole image to receive a corrected borehole image as output from the trained machine-learning model. The corrected borehole image can be a visually corrected version of the input borehole image. The system may then perform one or more operations based on the corrected borehole image, such as generating a graphical user interface that includes the corrected borehole image for display on a display device.

    System and methods for evaluating a formation using pixelated solutions of formation data

    公开(公告)号:US11885925B2

    公开(公告)日:2024-01-30

    申请号:US17807276

    申请日:2022-06-16

    CPC classification number: G01V3/30 E21B49/00 E21B2200/20

    Abstract: A system and method for evaluating a subterranean formation includes a logging tool that includes transmitter and receiver antennae. The transmitter antenna transmits a first electromagnetic signal into the formation at a plurality of depths. The receiver antenna receives a plurality of second electromagnetic signals emitted by the formation in response to the first signal. The system and method also include a processor configured to calculate resistivity values for the second signals, calculate solutions to an inversion algorithm of the formation, filter the solutions into a plurality of convergent solutions, pixilate the convergent solutions into pixilated solutions, calculate ensemble statistics for the pixilated solutions, calculate a difference in resistivity value between successive pixels, identify presumptive layer boundaries based on the differences in resistivity values, calculate composite resistivity statistics from the pixilated solutions based on the presumptive layer boundaries and the ensemble statistics, and generate a formation model.

    AUTOMATED CLUSTER SELECTION FOR DOWNHOLE GEOSTEERING APPLICATIONS

    公开(公告)号:US20230313616A1

    公开(公告)日:2023-10-05

    申请号:US17657078

    申请日:2022-03-29

    CPC classification number: E21B7/04 E21B49/00 E21B2200/20

    Abstract: System and methods for geosteering inversion are provided. Downhole tool responses are predicted for different points along a planned path of a wellbore during a downhole operation, based on each of a plurality of inversion models. Measurements of the downhole tool's actual responses are obtained as the wellbore is drilled over the different points during a current stage of the operation. The inversion models are then clustered using a weighted clustering approached in which a weighted score system is formulated to apply a standard deviation, number of models, and/or misfit of each cluster as key parameters, and used to evaluate the clusters accordingly. The corresponding scores are computed and used to select clusters. The planned wellbore path is adjusted for the subsequent stage(s) of the downhole operation.

    ELECTROMAGNETIC TOOL CALIBRATION FOR TILTED ANTENNAS WITH UNDETERMINED ORIENTATION ANGLES

    公开(公告)号:US20230239059A1

    公开(公告)日:2023-07-27

    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.

    Distance-to-bed-boundary inversion solution pixelation

    公开(公告)号:US11574459B2

    公开(公告)日:2023-02-07

    申请号:US16461923

    申请日:2017-02-06

    Abstract: A pixelation-based approach to summarize downhole inversion results acquires inversion solutions and generates an initial model. Each layered solution is pixelated into pixels where each pixel contains the resistivity value of the initial model. A weighted function that weighs pixels according to their proximity to the logging tool may be used to generate the pixelated model to thereby improve accuracy. A statistical summary study is performed to identify the best pixelated model, which is then used to determine one or more formation characteristics.

    Determining distance to bed boundary uncertainty for borehole drilling

    公开(公告)号:US11543552B2

    公开(公告)日:2023-01-03

    申请号:US16723605

    申请日:2019-12-20

    Abstract: A system and method for determining an uncertainty of a distance to bed boundary (DTBB) inversion of a geologic formation. The system or method includes receiving logging data from a borehole tool, performing a first DTBB inversion using the logging data to calculate first DTBB solutions, adding quantified noise to the logging data to produce an adjusted signal, performing a second DTBB inversion using the adjusted signal to calculate second DTBB solutions, comparing the first DTBB solutions to the second DTBB solutions to determine an uncertainty of the first DTBB solutions based on a relationship of the quantified noise and the difference between the first DTBB solutions and the second DTBB solutions.

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