US 12,455,271 B2
Method of detecting at least one geological constituent of a rock sample
Sylvain Desroziers, Rueil-Malmaison (FR); Mathieu Feraille, Rueil-Malmaison (FR); Vincent Clochard, Rueil-Malmaison (FR); Antoine Bouziat, Rueil-Malmaison (FR); Youri Hamon, Rueil-Malmaison (FR); and Maxime Moreaud, Rueil-Malmaison (FR)
Assigned to IFP Energies nouvelles, Rueil-Malmaison (FR)
Appl. No. 17/919,319
Filed by IFP Energies nouvelles, Rueil-Malmaison (FR)
PCT Filed Mar. 31, 2021, PCT No. PCT/EP2021/058411
§ 371(c)(1), (2) Date Oct. 17, 2022,
PCT Pub. No. WO2021/219317, PCT Pub. Date Nov. 4, 2021.
Claims priority of application No. 2004169 (FR), filed on Apr. 27, 2020.
Prior Publication US 2023/0154208 A1, May 18, 2023
Int. Cl. G01N 33/24 (2006.01); G06T 7/11 (2017.01); G06T 7/90 (2017.01); G06V 10/20 (2022.01); G06V 10/26 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/60 (2022.01)
CPC G01N 33/24 (2013.01) [G06T 7/11 (2017.01); G06T 7/90 (2017.01); G06V 10/255 (2022.01); G06V 10/26 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/60 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30181 (2013.01); G06T 2207/30242 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method of detecting at least one geological constituent of a rock sample from training images, comprising steps of:
a) segmenting the training images by digital processing into a segmented image of at least two colors with a first color of each area of the training images comprising no geological constituent, and with at least a second color of each area of the training images comprising a geological constituent;
b) partitioning the segmented training images of at least two colors and the segmented images into patches;
c) training a machine learning classification algorithm by using the patches of the segmented training images of the at least two colors and by using the patches of the segmented training images for classifying the patches of the training images according to colors of the patches of corresponding segmented training images;
d) acquiring an image of the rock sample;
e) partitioning the acquired image of the rock sample into the patches; and
f) detecting the at least one geological constituent in each of the patches of the acquired image of the rock sample by application of a model formed by the trained machine learning application of the classification algorithm to the patches of the acquired image of the rock sample.