US 12,291,957 B2
Field pump equipment system
Amey Ambade, Houston, TX (US); and Praprut Songchitruksa, Houston, TX (US)
Assigned to SCHLUMBERGER TECHNOLOGY CORPORATION, Sugar Land, TX (US)
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed on Jul. 3, 2023, as Appl. No. 18/346,469.
Claims priority of provisional application 63/358,189, filed on Jul. 4, 2022.
Prior Publication US 2024/0003242 A1, Jan. 4, 2024
Int. Cl. E21B 47/008 (2012.01)
CPC E21B 47/008 (2020.05) [E21B 2200/20 (2020.05); E21B 2200/22 (2020.05)] 18 Claims
OG exemplary drawing
 
1. A method comprising:
receiving input that comprises time series data from pump equipment at a wellsite, wherein the wellsite comprises a wellbore in contact with a fluid reservoir;
processing the input using a first trained machine learning model as an anomaly detector to generate output; and
processing the input and the output using a second trained machine learning model to predict a survival function for the pump equipment.