US 12,416,228 B2
Artificial intelligence based hydraulic fracturing system monitoring and control
Adrian Benjamin Bodishbaugh, The Woodlands, TX (US); and Carrie Murtland, The Woodlands, TX (US)
Assigned to Typhon Technology Solutions (U.S.), LLC, The Woodlands, TX (US)
Filed by Typhon Technology Solutions (U.S.), LLC, The Woodlands, TX (US)
Filed on Jan. 29, 2024, as Appl. No. 18/425,851.
Application 18/425,851 is a continuation of application No. 16/938,759, filed on Jul. 24, 2020, granted, now 11,927,087.
Claims priority of provisional application 62/879,239, filed on Jul. 26, 2019.
Prior Publication US 2024/0318533 A1, Sep. 26, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. E21B 43/26 (2006.01); F04B 49/06 (2006.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01)
CPC E21B 43/2607 (2020.05) [F04B 49/065 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); E21B 2200/22 (2020.05); F04B 2201/0208 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
accessing a thermal image of a component provided on a transport of a hydraulic fracturing fleet;
inputting the thermal image into an artificial intelligence (AI) model, wherein the AI model is trained using a training set including a plurality of historical thermal images of historical components on transports of hydraulic fracturing fleets, each of the plurality of historical thermal images in the training set being labeled with one of a plurality of predetermined operating states for a corresponding historical component;
detecting, with the AI model and based on the input thermal image, one of the plurality of predetermined operating states for the component; and
operating the hydraulic fracturing fleet based on the detected predetermined operating state.