US 12,456,077 B2
Field equipment data system
Vipin Bisht, Dehradun (IN); Shankar Shailesh, Pune (IN); Sapna Deshmukh, Pune (IN); and Chandra Prakash Deep Ajmera, Pune (IN)
Assigned to Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed on Aug. 17, 2022, as Appl. No. 17/820,258.
Prior Publication US 2024/0062119 A1, Feb. 22, 2024
Int. Cl. G06N 20/20 (2019.01)
CPC G06N 20/20 (2019.01) 19 Claims
OG exemplary drawing
 
1. A method comprising:
for a target workflow, receiving a request for field equipment data, the request including one or more parameters for the target workflow;
responsive to the request, retrieving the field equipment data for the target workflow based on the one or more parameters;
identifying a data type of the field equipment data;
responsive to the data type being associated with an input for the target workflow and the one or more parameters including a quality score assessment, automatically processing the field equipment data using a trained machine learning model to generate a quality score for the field equipment data;
responsive to the quality score being greater than a threshold, performing the target workflow; and
responsive to the quality score being lower than the threshold, generating a data collection suggestion to improve the quality score of the field equipment data.