US 12,229,696 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. 17/820,260.
Prior Publication US 2024/0062124 A1, Feb. 22, 2024
Int. Cl. G06F 16/00 (2019.01); G01V 20/00 (2024.01); G06F 16/25 (2019.01); G06Q 10/0631 (2023.01); G06Q 50/02 (2012.01)
CPC G06Q 10/0631 (2013.01) [G01V 20/00 (2024.01); G06F 16/258 (2019.01); G06Q 50/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, from a framework, a request for field equipment data obtained from field equipment at a reservoir;
automatically identifying, using a machine learning model, data types of the field equipment data;
automatically converting, by the machine learning model, the data types to a data structure used by the framework in response to the machine learning model determining that the data types are in a different format from the data structure used by the framework;
generating, by the machine learning model, a quality metric in response to performing a quality assessment of converting the data types to the data structure used by the framework;
providing the field equipment data in the data structure used by the framework and the quality metric; and
performing, in response to the quality metric exceeding a threshold, a simulation on the field equipment data.