Digital rock core reconstruction method and system based on generative adversarial neural network

• Main Authors: WANG FUYONG, ZHAO JIUYU
• Format: Patent
• Language: Chinese; English
• Published: 28.07.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention provides a digital rock core reconstruction method and system based on a generative adversarial neural network. The method comprises the following steps: executing iterative processing:processing historical noise data according to a weight matrix of a generator and bias of the generator to obtain a generated sample; processing the generated sample according to the weight of the discriminator and the bias of the discriminator to obtain a generated sample discrimination probability; processing the real sample according to the weight of the discriminator and the bias of the discriminator to obtain a real sample discrimination probability; determining a loss function according to the generated sample discrimination probability and the real sample discrimination probability; whenthe current number of iterations reaches a preset number of iterations; processing the current noise data according to the weight matrix of the generator and the bias of the generator in the currentiteration to obtain a digit