Schlumberger Technology Corporation

Katharine L Mantle

Maja Ignova

Tao Yu

Hui Li

Steven Hough

Lu Jiang

Adrien Chassard

Jinsoo Kim

Magnus Hedlund

Geoffrey Charles Downton

Kai Zhao

Steven G Villareal

Riadh Boualleg

Paul Bolchover

Samba Ba

Ling Li

Diego Medina

Jia Yao

Hendrik Suryadi

Farid Toghi

Jean Marie Degrange

Ekaterina Brovko

Methods and systems are provided for automated closed-loop control of drilling trajectory during directional drilling, which automatically adjusts at least one parameter during the directional drilling to automatically control the direction of drilling when drilling a kickoff that transitions a wellbore from a vertical section to a curve or tangent section. In embodiments, the closed-loop control can be configured to automatically adjust a steering ratio (SR) parameter that controls time that a steering tool will spend in holding a desired magnetic toolface.

Automated control of trajectory of downhole drilling

A system and method that include receiving a well plan and determining a plurality of sections of the well plan and receiving data from surface and downhole to determine a current location of a drill bit. The system and method also include analyzing the well plan to automatically derive trajectory constraints that are associated with each of the plurality of sections of the well plan. The system and method additionally include determining a plurality of trajectory candidates that pertain to respective paths from the current location of a drill bit to respective targets included within each of the plurality of sections of the well plan based on a consideration of the trajectory constraints. The system and method further include determining a working plan that includes an optimal path from the current location of the drill bit to reach a final target based on the plurality of trajectory candidates.

Approaches to directional drilling

A method can include acquiring drilling performance data for a downhole tool; modeling drilling performance of the downhole tool to generate results; training a machine learning model using the drilling performance data and the results to generate a trained machine learning model; and predicting behavior of the downhole tool using the trained machine learning model.

Drilling system

A method can include receiving data for a bottom hole assembly of a drillstring and a drill plan; generating candidate trajectories using at least a portion of the data; generating drill command schedules for the candidate trajectories; ranking the candidate trajectories based at least in part on the drill command schedules; and outputting at least a top ranked candidate trajectory and its corresponding drill command schedule.

A technique facilitates a drilling operation by providing a drill bit having limited magnetic influence. The drill bit comprises a bit head formed with a non-magnetic bit head material. Cutting elements may be attached to the bit head to facilitate cutting of rock and other formation material during drilling of a borehole. The drill bit also comprises a bit body formed with a non-magnetic body material. The bit head and the bit body are joined to construct a non-magnetic drill bit which has no or limited magnetic influences on, for example, sensors located proximate the drill bit.

System and methodology for drilling

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Stonehouse, United Kingdom

Katharine L Mantle