Facies conditional simulation based on VAE-GAN model and image quilting algorithm
摘要:Characterization of complex reservoir structures by using limited observations is challenging in geosciences because it requires to reproduce geological realism. We propose a novel method to reconstruct complex structures by combining variational autoencoder and generative adversarial networks (VAE-GAN) with conditional image quilting algorithm. It improves the stability of traditional GAN-based simulation method without decreasing the quality of patterns. Firstly, we construct a VAE-GAN model to extract the high-dimensional features of facies patterns and to create abundant new patterns. The VAE-GAN-based learning method has a good ability in feature learning from training patches and accurately reproduce new facies patterns. Finally, these new patterns are spliced together to reconstruct a complex geological structure by employing the conditional image quilting algorithm, in which patterns are pasted to the simulated areas based on the calculated minimum cost path. During this process, conditioning is also considered. Since the pattern is generated by using the deep learning method rather than directly extracted from the training image, the diversity of realizations is enhanced without losing reproducibility. Based on synthetic training image, several examples are described and analyzed in detail, demonstrating the effectiveness and reliability of the present method. In addition, the new method is applied to a real training image. The complex heterogeneous structures are well reproduced by our method, indicating its practicability.
关键字:Stochastic simulation; VAE; GAN; Conditional simulation; Facies
ISSN号:0926-9851
卷、期、页:卷219
发表日期:2023-12-01
影响因子:0.000000
期刊分区(SCI为中科院分区):三区
收录情况:SCI(科学引文索引印刷版),EI(工程索引),SCIE(科学引文索引网络版)
发表期刊名称:JOURNAL OF APPLIED GEOPHYSICS
通讯作者:赵冀川
第一作者:陈双全
论文类型:期刊论文
论文概要:赵冀川,陈双全,Facies conditional simulation based on VAE-GAN model and image quilting algorithm,JOURNAL OF APPLIED GEOPHYSICS,2023,卷219
论文题目:Facies conditional simulation based on VAE-GAN model and image quilting algorithm