AUTOMATIC DIGITAL ROCK SEGMENTATION

• Main Author: Maximo, Andre de Almeida
• Format: Patent
• Language: English
• Published: 13.10.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; EARTH DRILLING; EARTH DRILLING, e.g. DEEP DRILLING; FIXED CONSTRUCTIONS; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; MINING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS; PHYSICS

System and methods of automatic digital rock segmentation are provided. A deep learning model may be trained to segment images of reservoir rock. The training may involve the use of first image data of reservoir rock samples and first segmentation data mapping an intensity of image elements of the first image data to one of a plurality of output channels that respectively represent a characterization of reservoir rock. Second image data of a new reservoir rock sample may be obtained, and an intensity of image elements of the second image data may be determined. Using the trained deep learning model, second segmentation data may be generated that maps the intensity of each image element in the second image data to a corresponding one of the plurality of output channels. The trained deep learning model may output a characterization of the new reservoir rock sample based on the second segmentation data.