US 12,031,401 B2
Systems and methods for controlling well fluid equipment
Hugues Trifol, Clamart (FR); Laure Mandrou, Bellaire, TX (US); Dominique Bodin, Clamart (FR); and Thierry Val, Ligniac (FR)
Assigned to Schlumberger Technology Corporation, Sugar Land, TX (US)
Appl. No. 17/905,188
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
PCT Filed Mar. 1, 2021, PCT No. PCT/US2021/020195
§ 371(c)(1), (2) Date Aug. 29, 2022,
PCT Pub. No. WO2021/174179, PCT Pub. Date Sep. 2, 2021.
Claims priority of provisional application 62/982,766, filed on Feb. 28, 2020.
Prior Publication US 2023/0112716 A1, Apr. 13, 2023
Int. Cl. G05B 13/04 (2006.01); E21B 33/035 (2006.01); E21B 43/00 (2006.01); E21B 47/06 (2012.01)
CPC E21B 33/0355 (2013.01) [E21B 43/00 (2013.01); E21B 47/06 (2013.01); G05B 13/041 (2013.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05)] 17 Claims
OG exemplary drawing
 
1. A method for controlling surface systems for hydrocarbon reservoirs, comprising:
acquiring data during operation of a surface system that handles fluid using sub-systems;
generating a parameter value for one of the sub-systems using at least a portion of the acquired data and a model that models the sub-system using historical data that comprise operational adjustment data for operational adjustments responsive to conditions, wherein the model generates the parameter value responsive to the acquired data being indicative of a shut-down of flow of the fluid to the sub-system, wherein the model comprises a decision tree model trained via a tiered approach having a first tier, a second tier, and a third tier, wherein the first tier comprises training the decision tree model based on a specification, the second tier comprises training the decision tree model based on the acquired data, and the third tier comprises training the decision tree model to autonomously execute the shut-down of the fluid to the sub-system; and
automatically controlling the one of the sub-systems using the parameter value.