Baker Hughes Corporation

Exxonmobil Upstream Research Company

Other

Exxonmobil Technology and Engineering Company

Baker Hugues Incorporated

Paul E Pastusek

Eric Charles Sullivan

Tu Tien Trinh

Daryl Pritchard

Lei Wang

Paul J Lutes

Jeffrey Roberts Bailey

Keith Glasgow

Gordon A Tibbitts

Gregory S Payette

Mehmet Deniz Ertas

Dar-Lon Chang

Darren Pais

Krishnan Kumaran

Wayne Rollins Hansen

Shankar Sundararaman

Damian N Burch

Benjamin J Spivey

Stephen M Remmert

Jerry Cerkovnik

Matthew T Prim

Daryl L Pritchard

Craig Hodges Cooley

Nicholas J Lyons

Redd H Smith

Suresh G Patel

Roland Edward Chemali

Michael L Doster

Mark M Disko

Mark William Dykstra

Van Jordan Brackin

Ralph M Horton

Friedhelm Makohl

R Keith Glasgow, Jr

Martin Townley Evans

Umesh Prasad

Thomas A Badgwell

Rene N Ritter

Steve R Matson

Mathews George

René N Ritter

David J Schmidt

Mark C Moyer

Richard J McClellan

Innocent R Rugashoborola

Stanley T Hewitt

Eileen Louvier

Melissa M Lee

Jonathan B Barry

Corey S Thayn

Derek M Sanderson

Stanley Thomas Hewitt

Methods and systems for optimizing timing for drilling and tripping operation. An example method may include receiving a plurality of sensor data characterizing rig equipment and tripping status. The method may include identifying a plurality of multi-thread rig states based on the plurality of sensor data. The method calculates a plurality of optimal rig state characteristics (RSCs), wherein the plurality of optimal RSCs are calculated based on the plurality of sensor data as it relates to the plurality of multi-thread rig states. The method also performs a tripping operation with the rig equipment after applying the plurality of optimal RSCs. The method may also gather a plurality of updated sensor data from the rig equipment during the tripping operation for a recalculation of the plurality of optimal RSCs.

Tripping optimization

A method and controller system are described for automatically tuning a controller of a drilling rig. The controller system includes a controller that determines a moving average of measured values, determines a moving standard deviation of the measured values, defines an outer zone of measured values with the determined moving average and the determined moving standard deviation, defines an inner zone of measured values with the determined moving average and the determined moving standard deviation, monitors the measured values for the occurrence of statistical events with respect to the outer zone and inner zone. Based on the detected statistical event, the controller adjusts the gain of the controller the based on the statistical event being associated with the outer zone or inner zone.

Controller with automatic tuning and method

A method for characterizing damage to bits or bottom hole assemblies can include identifying, via a supervised learning model, a location, an extent, a type, a consistency, or any combination thereof of damage to a bit or a bottom hole assembly from an image of the bit or the bottom hole assembly. A graphical output is generated based on the damage to the at least one component of the bit or the bottom hole assembly.

Subterranean drill bit management system

Zonal isolation devices including sensing and wireless telemetry and methods of utilizing the same are disclosed herein. The zonal isolation devices include an isolation body, a sensor, and a wireless telemetry device. The zonal isolation devices may be incorporated into a hydrocarbon well that also includes a wellbore and a wireless data transmission network. The methods include methods of conveying a wireless signal within a well. The methods include detecting a property of the well, transmitting a wireless output signal, conveying the wireless output signal, and receiving the wireless output signal.

Zonal isolation devices including sensing and wireless telemetry and methods of utilizing the same

Methods for drilling a wellbore within a subsurface region and drilling assemblies and systems that include and/or utilize the methods are disclosed herein. The methods include receiving a plurality of drilling performance indicator maps, normalizing the plurality of drilling performance indicator maps to generate a plurality of normalized maps, adaptive trending of the plurality of drilling performance indicator maps to generate a plurality of trended maps, summing the plurality of trended maps to generate an objective map, selecting a desired operating regime from the objective map, and adjusting at least one drilling operational parameter of a drilling rig based, at least in part, on the desired operating regime.

Methods for drilling a wellbore within a subsurface region and drilling assemblies that include and/or utilize the methods

A stabilizer design for improving the likelihood of recovery of a drill string when obstructions are encountered in a wellbore is disclosed herein. The stabilizer includes a tubular body, a track, and a stabilizer blade. The track is disposed along the tubular body. The stabilizer blade is operatively coupled to the track and is configured to slide along the track from a first position to a second position.

Drill string stabilizer recovery improvement features

Integrated methods and systems for optimizing drilling related operations include recording data, parsing the data into intervals and analyzing the intervals to determine if the performance data in each time interval is of sufficient quality for using the interval data in a performance optimization process. The quality assessment may involve evaluating the data against a set of determined standards or ranges. The performance optimization process may utilize data mapping and/or modeling to make performance optimization process recommendations.

Drilling advisory systems and methods to filter data

Combined methods and systems for optimizing drilling related operations include global search engines and local search engines to find the optimal value for at least one controllable drilling parameter, and a data fusion module to combine or select the operational recommendations from global and local search engines. The operational recommendations are used to optimize the objective function, mitigate dysfunctions, and improve drilling efficiency.

Drilling advisory systems and methods with combined global search and local search methods

Integrated methods and systems for optimizing drilling related operations include global search engines and local search engines to find an optimal value for at least one controllable drilling parameter, and decision trees to select algorithms such as between learning mode algorithms and application mode algorithms for generating operational recommendations based on the results from global and local search engines. The operational recommendations are used to optimize the objective function, mitigate dysfunctions, and improve drilling efficiency.

Drilling advisory systems and methods with decision trees for learning and application modes

Method to estimate severity of downhole vibration for a drill tool assembly, including: identifying a dataset comprising selected drill tool assembly parameters; selecting a reference level of downhole vibration amplitude for the drill tool assembly; identifying a surface drilling parameter and calculating a reference surface vibration attribute for the selected reference level of downhole vibration amplitude; determining a surface parameter vibration attribute derived from at least one surface measurement or observation obtained in a drilling operation, the determined surface parameter vibration attribute corresponding to the identified surface drilling parameter; and estimating a downhole vibration severity indicator by evaluating the determined surface parameter vibration attribute with respect to the identified reference surface vibration attribute.

Methods to estimate downhole drilling vibration amplitude from surface measurement

Method to estimate severity of downhole vibration for a wellbore drill tool assembly, comprising: identifying a dataset comprising selected drill tool assembly parameters; selecting a reference downhole vibration index for the drill tool assembly; identifying a surface parameter and calculating a reference surface vibration attribute for the selected reference downhole vibration index; determining a surface vibration attribute derived from at least one surface measurement or observation obtained in a drilling operation, the determined surface vibration attribute corresponding to the identified surface parameter; and estimating a downhole vibration index by evaluating the determined surface vibration attribute with respect to the identified reference surface vibration attribute.

Methods to estimate downhole drilling vibration indices from surface measurement

Systems, program product, and methods are provided which include analyzing the drillability of a subterranean formation and a database of performance characteristics for drilling bits to facilitate bit design optimization and selection for that formation. Using component subterranean formation data, computer models can be generated for the drillability of a target section in terms of physical, mechanical, and micro-structural properties, and for postulated suitable drilling bit performance characteristics based on physical, mechanical, and micro-structural properties of the target section. The drilling bit performance characteristics are then updated by quantifying effects of the drilling system to be employed. Each performance characteristic can be normalized and plotted on its own axis for easy comparison. Next, a candidate drilling bit design is selected from a library of computer models of drilling bit characteristics for a suite of drilling bit designs. An optimization of the drilling bit design may be also performed.

System, program product, and related methods for bit design optimization and selection

A drill string component includes a box-end and a pin-end. Each end includes a signal transceiver, which are operably coupled together. Each signal transceiver communicates with another signal transceiver in another component to form a communication network in the drillstring. An end-cap may be placed in the central bore of the pin-end of a component to form an annular chamber between a side of the end-cap and a wall of the central bore of the pin-end when the end-cap is disposed in the central bore. In some embodiments, an electronics module may be placed in the annular chamber and configured to communicate with one of the signal transceivers. Accelerometer data, as well as other sensor data, at various locations along the drillstring may be sampled by the electronics module and communicated to a remote computer. Drillstring motion dynamics, such as vibration, may be determined based on the accelerometer data.

Methods and apparatuses for data collection and communication in drill string components

Drill bits and methods for sampling sensor data associated with a state of a drill bit are disclosed. A drill bit for drilling a subterranean formation comprises a bit configured for receiving a data analysis module. The data analysis module comprises at least one sensor, a memory, and a processor. The processor is configured for executing computer instructions to filter information derived from sensor data in the drill bit to develop a piecewise polynomial curve of the sensor data. Filtering information derived from the sensor data comprises approximating a first derivative of a sensor data waveform, calculating a plurality of zeros for the first derivative of the sensor data waveform, and fitting a cubic polynomial between adjacent zeros calculated from the first derivative of the sensor data waveform resulting in a piecewise cubic polynomial.

Method and apparatus for collecting drill bit performance data

Drill bits and methods for sampling sensor data associated with the state of a drill bit are disclosed. A drill bit for drilling a subterranean formation comprises a bit body and a shank. The shank further includes a central bore formed through an inside diameter of the shank and configured for receiving a data analysis module. The data analysis module comprises a plurality of sensors, a memory, and a processor. The processor is configured for executing computer instructions to collect the sensor data by sampling the plurality of sensors, analyze the sensor data to develop a severity index, compare the sensor data to at least one adaptive threshold, and modify a data-sampling mode responsive to the comparison. A method comprises collecting sensor data by sampling a plurality of physical parameters associated with a drill bit state while in various sampling modes and transitioning between those sampling modes.

Growing community of inventors

The Woodlands, TX, United States of America

Paul E Pastusek