Schlumberger Technology Corporation

Sensia LLC

Magnus Hedlund

Hui Li

Tao Yu

Maja Ignova

Katharine L Mantle

Lu Jiang

Adrien Chassard

Jinsoo Kim

Nam H Nguyen

Albert Hoefel

David J Rossi

Samba Ba

Diego Medina

Hendrik Suryadi

Jonathan Wun Shiung Chong

Pengyu Yuan

Farid Toghi

T Everett Chambliss

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 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 system for oil and gas production includes a drilling, pipeline, or power quality device, a sensor, and a storage device. The storage device has instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations. The operations include receiving first data from the sensor. The operations include determining whether the device is experiencing an event condition based on the first data The operations include generating one or more potential corrective actions responsive to a determination that the device is experiencing the event condition. The operations include calculating a reward value for each of the one or more potential corrective actions. The operations include identifying a first corrective action of the one or more potential corrective actions with a largest or most positive reward value The operations include controlling the device according to the first corrective action.

Event driven control schemas for artificial lift

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Houston, TX, United States of America

Magnus Hedlund