Work

Imaging performance analysis of compressive sensing seismic exploration

Year: 2025

Type: article

Abstract: In seismic exploration, the acquisition of ideal seismic data is often hindered by various constraints such as high costs and environmental limitations, leading to compromised imaging quality. Compressive sensing (CS) offers novel theories and tools to analyze and guide the acquisition and processing of seismic data. This paper explores the technical advantages and physical mechanisms of CS seismic exploration techniques in direct imaging of irregularly acquired data and imaging of reconstructed data compared to traditional acquisition methods. Our research findings demonstrate that irregular acquired data based on CS acquisition inherently possesses anti-aliasing capabilities in migration imaging, converting strong regular migration noise generated by regular sampling into noise with a random distribution, and through stacking processes suppress migration noise, thereby effectively enhancing the signal-to-noise ratio of imaging. Furthermore, irregularly acquired data exhibits reconstruction advantages, enabling the reconstruction of regular high-density seismic data that yields superior imaging effects. Hence, CS seismic exploration technology is conducive to improving the imaging quality of seismic data.

Source: Journal of Geophysics and Engineering

DOI: 10.1093/jge/gxaf107

Authors: Shengqiang Mu, Jianguo Chen, Shoudong Huo, Guoxu Shu

Institutions: Chinese Academy of Sciences, Institute of Geology and Geophysics, Tsinghua University, China University of Geosciences (Beijing)

Language: English

Topic: Seismic Imaging and Inversion Techniques

Subfield: Geophysics

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,550

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China