Compressive Sensing Technology

Compressive Sensing Technology(CST) exploits the sparsity of the original signal in the transform domain to reconstruct data from far fewer measurements than required by the conventional sampling theorem. JGI is working to develop more efficient seismic data acquisition and analysis techniques by integrating CST into seismic exploration workflows. We are advancing cutting-edge technologies related to spatial sampling optimization, data normalization, and wavefield computation efficiency. We believe that reducing the cost of acquiring 3D seismic data through CST will enable more efficient 3D seismic survey services across a wide range of applications, including optimized seismic monitoring for CCS–CCUS projects via time-lapse surveys. As illustrated in the figure below, applying CST to 3D seismic data acquired from irregular and sparse spatial configurations allows reconstruction equivalent to data obtained from dense spatial sampling. In addition, by combining CST with blending/deblending techniques that manage multiple simultaneous sources, we can further enhance acquisition efficiency, reduce costs, improve resolution, and support the expansion of large-scale 3D seismic exploration.