Patent classifications
E21B44/04
Estimating downhole RPM oscillations
Methods and apparatus for including obtaining raw surface data for present values of torque (T.sub.TD) generated by a top drive operably coupled with a drillstring, obtaining raw surface data for present values of rotational speed (ω) of the top drive corresponding to the T.sub.TD, obtaining inertia (J.sub.TD) of the top drive, and estimating torque T.sub.ST of the drillstring based on the obtained T.sub.TD data, the obtained data, and the obtained J.sub.TD data. The estimated drillstring torque T.sub.ST may be utilized to determine a surface torque oscillation performance index (STOPI).
REACTIVE TORQUE AUTOMATIC BALANCING DEVICE FOR SCREW DRILLING TOOL, DRILLING STRING, AND METHOD
A reactive torque automatic balancing device for a screw drilling tool includes an upper joint (1); a core cylinder (9) having an inner chamber in communication with the screw drilling tool (305) located downstream, so that drilling fluid from the inner chamber of the upper joint (1) flows to the screw drilling tool (305) through the inner chamber of the core cylinder (9) to allow the screw drilling tool to perform drilling; a lower joint (16) fixedly arranged at a lower end of the core cylinder (9); and an automatic balancing assembly, which is arranged between an outer wall of the core cylinder (9) and an inner wall of the upper joint (1), and driven by hydraulic pressure generated by a part of the drilling fluid flowing through the inner chamber of the upper joint (1).
REACTIVE TORQUE AUTOMATIC BALANCING DEVICE FOR SCREW DRILLING TOOL, DRILLING STRING, AND METHOD
A reactive torque automatic balancing device for a screw drilling tool includes an upper joint (1); a core cylinder (9) having an inner chamber in communication with the screw drilling tool (305) located downstream, so that drilling fluid from the inner chamber of the upper joint (1) flows to the screw drilling tool (305) through the inner chamber of the core cylinder (9) to allow the screw drilling tool to perform drilling; a lower joint (16) fixedly arranged at a lower end of the core cylinder (9); and an automatic balancing assembly, which is arranged between an outer wall of the core cylinder (9) and an inner wall of the upper joint (1), and driven by hydraulic pressure generated by a part of the drilling fluid flowing through the inner chamber of the upper joint (1).
Automated filtering and normalization of logging data for improved drilling performance
Systems and methods for automated filtering and normalization of logging data for improved drilling performance may enable smoothing and amplitude scaling of log data for meaningful comparison and analysis without scaling artefacts. The logging data may be collected from downhole sensors or may be recorded by a control system used for drilling. A computer implemented method may enable industrial scale automated filtering and normalization of logging data, including calibration to a known standard. In particular, the filtering and normalization may be used for stratigraphic analysis to correlate true vertical depth to measured depth along a wellbore.
Automated filtering and normalization of logging data for improved drilling performance
Systems and methods for automated filtering and normalization of logging data for improved drilling performance may enable smoothing and amplitude scaling of log data for meaningful comparison and analysis without scaling artefacts. The logging data may be collected from downhole sensors or may be recorded by a control system used for drilling. A computer implemented method may enable industrial scale automated filtering and normalization of logging data, including calibration to a known standard. In particular, the filtering and normalization may be used for stratigraphic analysis to correlate true vertical depth to measured depth along a wellbore.
Autonomous torque and drag monitoring
Examples described herein provide a computer-implemented method that includes modeling at least one torque and drag parameter for an upstream well construction operation. The method further includes acquiring at least one measured torque and drag parameter during performing the upstream well construction operation. The method further includes interpolating friction factors at different sampling times for the at least one measured torque and drag parameter. The method further includes transposing the friction factors at the different sampling times for the at least one measured torque and drag parameter to a time-based series. The method further includes performing a corrective action responsive to determining that one or more of the friction factors at a particular point in time is indicative of the one or more of the friction factors deviating from an expected value.
Autonomous torque and drag monitoring
Examples described herein provide a computer-implemented method that includes modeling at least one torque and drag parameter for an upstream well construction operation. The method further includes acquiring at least one measured torque and drag parameter during performing the upstream well construction operation. The method further includes interpolating friction factors at different sampling times for the at least one measured torque and drag parameter. The method further includes transposing the friction factors at the different sampling times for the at least one measured torque and drag parameter to a time-based series. The method further includes performing a corrective action responsive to determining that one or more of the friction factors at a particular point in time is indicative of the one or more of the friction factors deviating from an expected value.
Self-adjusting directional drilling apparatus and methods for drilling directional wells
An apparatus for drilling curved and straight sections of a wellbore is disclosed that in one non-limiting embodiment includes a drilling assembly configured to include a drill bit at an end thereof that can be rotated by a drive in the drilling assembly and by the rotation of the drilling assembly, and wherein the drilling assembly includes: a deflection device that (i) tilts a section of the drilling assembly within a selected plane when the drilling assembly is substantially rotationally stationary to allow drilling of a curved section of the wellbore by rotating the drill bit by the drive; and (ii) straightens the section of the drilling assembly when the drilling assembly is rotated to allow drilling of a straight section of the wellbore.
Self-adjusting directional drilling apparatus and methods for drilling directional wells
An apparatus for drilling curved and straight sections of a wellbore is disclosed that in one non-limiting embodiment includes a drilling assembly configured to include a drill bit at an end thereof that can be rotated by a drive in the drilling assembly and by the rotation of the drilling assembly, and wherein the drilling assembly includes: a deflection device that (i) tilts a section of the drilling assembly within a selected plane when the drilling assembly is substantially rotationally stationary to allow drilling of a curved section of the wellbore by rotating the drill bit by the drive; and (ii) straightens the section of the drilling assembly when the drilling assembly is rotated to allow drilling of a straight section of the wellbore.
Drill bit dysfunction identification based on compact torsional behavior encoding
Based on measurements of forces and rotational velocity experienced by a drill bit during drilling, drilling behavior is detected and identified. Measurements of forces on a drill bit including torque on bit (TOB), weight on bit (WOB), etc. and measurements of rotational velocity (rotations per minute or RPM) are acquired in real time at the drill bit. Various measurements are correlated to produce related combinations of measurements, such as WOB-RPM, TOB-RPM, and RPM-time. Based on fitting between the combinations of measurements and curves corresponding to predetermined torsional behavior trends, torsional, axial, and rotational behaviors are classified as functional or dysfunctional. A dysfunction identifier then identifies drill bit dysfunctions, such as high-frequency torsional noise, cutting-induced stick-slip, friction-inducted stick-slip, pipe-induced stick-slip, three-dimensional (3D) coupled vibrations (including subsets high-frequency torsional oscillations and low-frequency torsional oscillations), low-frequency torsional vibration, high-frequency torsional vibration, etc.) based on the functionality of the torsional, axial, and rotational behaviors. Based on drill bit dysfunction identification, dysfunctional drilling behavior can be mitigated.