US 11,874,202 B2
Managing assets by process variable mapping
Robert Peebles, Aberdeenshire (GB); and Matthew Thompson, Houston, TX (US)
Assigned to CONOCOPHILLIPS COMPANY, Houston, TX (US)
Filed by CONOCOPHILLIPS COMPANY, Houston, TX (US)
Filed on Jun. 27, 2019, as Appl. No. 16/454,303.
Prior Publication US 2020/0408644 A1, Dec. 31, 2020
Int. Cl. G01M 99/00 (2011.01); G06F 11/34 (2006.01); G05B 19/418 (2006.01); G06Q 10/0635 (2023.01); G06F 11/32 (2006.01); G06F 11/30 (2006.01); G05B 23/02 (2006.01)
CPC G01M 99/005 (2013.01) [G05B 19/41875 (2013.01); G05B 23/0272 (2013.01); G06F 11/3013 (2013.01); G06F 11/3058 (2013.01); G06F 11/324 (2013.01); G06F 11/3409 (2013.01); G06Q 10/0635 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method of improving reliability of an industrial asset, the method comprising:
collecting process variables associated with the industrial asset including one or more process variables selected from pressure, temperature, flow, position, level, speed, load, and differential pressure;
generating a list of statistical anomalies from;
filtering the statistical anomalies generated to operational activities or equipment performance;
identifying patterns which may lead to corrective maintenance from said statistical anomalies generated by equipment whose performance is deteriorating;
calculating a baseline using a time-weighted average over a standard average calculation;
producing a color-coded scalable visualization of the industrial asset;
collecting one or more real-time process variables and dividing by the time-weighted average for said process variable to provide a comparable value;
placing the comparable value on the color-coded scalable visualization of the industrial asset;
providing an aggregate single view that is scalable across the range of process variables of the industrial asset, wherein the aggregate single view visually represents all of the industrial asset; and
identifying instrument failures in real-time.