ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion

no code implementations • 13 Feb 2023 • YiMin Dou, Kewen Li, Wenjun Lv, Timing Li, Hongjie Duan, Zhifeng Xu

In the field data with two or three well logs, only the methods based on the components proposed in this paper were able to achieve reasonable results.

Contrastive Learning Pseudo Label +3

CONSS: Contrastive Learning Approach for Semi-Supervised Seismic Facies Classification

no code implementations • 10 Oct 2022 • Kewen Li, Wenlong Liu, YiMin Dou, Zhifeng Xu, Hongjie Duan, Ruilin Jing

Recently, seismic facies classification based on convolutional neural networks (CNN) has garnered significant research interest.

Contrastive Learning Facies Classification

MDA GAN: Adversarial-Learning-based 3-D Seismic Data Interpolation and Reconstruction for Complex Missing

1 code implementation • 7 Apr 2022 • YiMin Dou, Kewen Li, Hongjie Duan, Timing Li, Lin Dong, Zongchao Huang

The interpolation and reconstruction of missing traces is a crucial step in seismic data processing, moreover it is also a highly ill-posed problem, especially for complex cases such as high-ratio random discrete missing, continuous missing and missing in fault-rich or salt body surveys.