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.
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.
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.
1 code implementation • 11 Oct 2021 • YiMin Dou, Kewen Li, Jianbing Zhu, Timing Li, Shaoquan Tan, Zongchao Huang
Recently, training 3D fault segmentation using sparse manual 2D slices is thought to yield promising results, but manual labeling has many false negative labels (abnormal annotations), which is detrimental to training and consequently to detection performance.
no code implementations • 9 May 2021 • YiMin Dou, Kewen Li, Jianbing Zhu, Xiao Li, Yingjie Xi
The task of image segmentation requires huge labels, especially 3D seismic data, which has a complex structure and lots of noise.