US 12,221,867 B2
Event driven control schemas for artificial lift
Jonathan Wun Shiung Chong, Richmond, TX (US); T. Everett Chambliss, Houston, TX (US); Magnus Hedlund, Tomball, TX (US); David Rossi, Houston, TX (US); Nam Nguyen, Houston, TX (US); Pengyu Yuan, Houston, TX (US); and Albert Hoefel, Sugar Land, TX (US)
Assigned to SENSIA LLC, Houston, TX (US); and SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Lands, TX (US)
Appl. No. 17/432,363
Filed by Sensia LLC, Houston, TX (US); and SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Land, TX (US)
PCT Filed Feb. 20, 2020, PCT No. PCT/US2020/019090
§ 371(c)(1), (2) Date Aug. 19, 2021,
PCT Pub. No. WO2020/172447, PCT Pub. Date Aug. 27, 2020.
Claims priority of provisional application 62/808,345, filed on Feb. 21, 2019.
Prior Publication US 2022/0170353 A1, Jun. 2, 2022
Int. Cl. E21B 43/12 (2006.01); E21B 47/008 (2012.01)
CPC E21B 43/121 (2013.01) [E21B 47/008 (2020.05); E21B 2200/20 (2020.05)] 16 Claims
OG exemplary drawing
 
1. A system for oil and gas production, the system comprising:
a drilling, pipeline, or power quality equipment;
a sensor associated with the drilling, pipeline, or power quality equipment; and
a storage device having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
receiving first data from the sensor, the first data indicating a parameter of the drilling, pipeline, or power quality equipment;
determining whether the drilling, pipeline, or power quality equipment is experiencing an event condition based on the first data;
generating one or more potential corrective actions responsive to a determination that the drilling, pipeline, or power quality equipment is experiencing the event condition, the one or more potential corrective actions each comprising controlling operation of a fluid transfer device, resulting in a change to the parameter of the drilling, pipeline, or power quality equipment, and generating the one or more potential corrective actions comprises:
determining a severity associated with the event condition,
inputting the severity of the event condition and a type of the event condition to a model of the system, and
selecting, from an output of the model, the one or more potential corrective actions, wherein the output of the model is a Gaussian distribution of potential actions;
calculating a reward value for each of the one or more potential corrective actions;
identifying a first corrective action of the one or more potential corrective actions with a largest or a most positive reward value;
controlling the fluid transfer device to implement to the first corrective action comprising sending a first control signal to the fluid transfer device, wherein the first corrective action comprises at least one of increasing a drive frequency of the fluid transfer device, adjusting a choke position of the fluid transfer device, or reversing a rotational direction of an impeller of the fluid transfer device;
determining whether the drilling, pipeline, or power quality equipment is experiencing a subsequent event condition; and
controlling the fluid transfer device to implement a subsequent corrective action comprising sending a second control signal to the fluid transfer device, the subsequent corrective action based on at least a set of subsequent data received from the sensor and the first corrective action.