Pattern Recognition and Application in Artificial Intelligence-Assisted Offshore Seismic Data Processing
ZHONG Mingrui
Abstract：Artificial Intelligence(AI)technology has gradually formed a new technical paradigm in the field of offshore seismic data processing.This paper focuses on the systematic application of AI pattern recognition methods in marine geophysical exploration,and builds a multi-task processing system based on deep learning for the strong noise interference,tectonic interpretation uncertainty and bottleneck of thin reservoir identification existing in offshore seismic data.Intelligent noise suppression is achieved by designing a convolutional denoising self-encoder,precise identification of geological formations is accomplished by adopting Mask R-CNN architecture,and the reservoir parameter prediction model is optimized by combining with the long and short-term memory network.
Keywords：Atificial intelligenceOffshore seismicData processing
Publication Date：2025-12-30
Online Publishing Date：2025-12-15(First online date of this platform, not the publication date of the document)
Pages：5( 121-125 )