Automatic seismic facies identification method based on combination of self-attention mechanism and u-shape network architecture

US11922679B2 · kind B2 · utility

Assignee

• XI'AN JIAOTONG UNIVERSITY · CN

Inventors

• Zhiguo Wang · Dachau, DE
• Yumin Chen · San Diego, US
• Yang Yang · Parsippany, US
• Zhaoqi Gao · Xi'an, CN
• Zhen Li · Hsinchu, TW
• Qiannan Wang · Shanghai, CN
• Jinghuai Gao · Tuji, CN

Key dates

• Filing date: May 22, 2023
• Grant date: Mar 5, 2024
• Expiry date: May 22, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V10/82
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

An automatic seismic facies identification method based on combination of Self-Attention mechanism and U-shape network architecture, including: obtaining and preprocessing post-stack seismic data to construct a sample training and validation dataset; building an encoder through an overlapped patch merging module with down-sampling function and a self-attention transformer module with global modeling function; building a decoder through a patch expanding module with linear upsampling function, the self-attention transformer module, and a skip connection module with multilayer feature fusion function; building a seismic facies identification model using the encoder, the decoder, and a Hypercolumn module, where the seismic facies identification model includes a Hypercolumns-U-Segformer (HUSeg); and building a hybrid loss function; iteratively training the seismic facies identification model with a training and validation set; and inputting test data into a trained identification model to obtain seismic facies corresponding to the test data.