Nabors Drilling Technologies USA, Inc.

Namitha Vinay

Srikanth Valleru

Jayaprasad Jayabal

Christopher Papouras

Suresh Venugopal

A method of optimizing drilling and drilling instructions for different segments of a wellbore that includes: calculating mathematical approximations of energy transfer loss between a top drive and a BHA using a neural network and a plurality of drilling records for segments of wellbores that are similar to the segments of the wellbore to be drilled; calculating drilling instructions based on each mathematical approximation; drilling the wellbore using the drilling instructions; monitoring the energy transfer loss; and optimizing the drilling instructions using one of the mathematical approximations to minimize the energy transfer loss. Optimizing the drilling instructions includes using Bayesian optimization techniques.

Optimal drilling parameter machine learning system and methods

Apparatus, systems, and methods for correcting clock drift between multiple data streams detected during oil or gas drilling operations. The method generally includes drilling a well segment using a drilling rig. During the drilling of the well segment, first and second drilling conditions are detected over a time interval using first and second sensors. First and second data streams based on the detected first and second drilling conditions are received at a surface location. It is then determined, based on a relationship between the first and second drilling conditions, whether the first and second data streams are asynchronous with each other and relative to the time interval. If it is determined that the first and second data streams are asynchronous: an extent to which the first and second data streams are asynchronous is determined; and based on said extent, the first and second data streams are synchronized.

Correcting clock drift between multiple data streams detected during oil and gas wellbore operations

A system for monitoring data quality in a drilling operation includes a controller and a plurality of data sources configured to provide data to the controller. The controller is configured to receive data from a plurality of data sources during a drilling operation; apply data quality rules to the received data; calculate a score for each data source of the plurality of data sources based on adherence of the received data for that data source to the data quality rules; compare the calculated scores for the plurality of data sources to determine which calculated scores meet or exceed a threshold score; receive a selection of one of the plurality of data sources having a calculated score that meets or exceeds the threshold score; and use the data from the selected data source. Methods and non-transitory machine-readable media for monitoring data quality are also provided.

Data quality monitoring and control systems and methods

A method of drilling a first wellbore in an oilfield where an offset wellbore has been formed, the method including executing, using a computing system, at least a portion of a first set of instructions based on a well plan relating to the first wellbore; receiving, by the computing system, after the execution of at least the portion of the first set of instructions, offset drilling data associated with the drilling of the offset wellbore; generating, using the computing system, a second set of instructions based on the offset drilling data; wherein the second set of instructions is based on the well plan relating to the first wellbore; and wherein the second set of instructions is different from the first set of instructions; requesting confirmation to execute the second set of instructions; and executing the second set of instructions after receipt of confirmation to execute the second set of instructions.

Downhole drilling using a network of drilling rigs

Apparatus, systems, and methods for correlating multiple data streams to generate a graphical widget for display on a graphical user interface. The method generally includes drilling a well segment using a drilling rig. During the drilling of the well segment, detecting, using first and second sensors, first and second drilling conditions, respectively. first and second data streams based on the detected first and second drilling conditions, respectively, are received at a first surface location. A first user input is received at the first surface location. The first and second data streams are correlated based on the first user input. A first graphical widget is generated based on the correlated first and second data streams. Finally, the first graphical widget is displayed on a graphical user interface (GUI).

Correlating multiple drilling data streams to generate graphical widgets for display on a graphical user interface

A method of managing a drilling anomaly includes providing a computing device comprising a graphical user interface ('GUI') that is configured to display a plurality of screens in response to detection of the drilling anomaly; displaying a first screen that includes a menu listing proposed actions to address the detected drilling anomaly and an estimated success rate associated with each of the proposed actions; wherein each of the proposed actions is selectable by a user via the GUI; receiving, by the computing device and via the GUI, a first selection command associated with a first proposed action from the menu; displaying a second screen that includes a first illustration depicting execution of the first proposed action that was selected by the user via the first selection command; and receiving, by the computing device and via the GUI, a command to execute one of the proposed actions.

Growing community of inventors

Cypress, TX, United States of America

Namitha Vinay