InsightTomo: In-Situ Seismic Tomographic Imaging System

Abstract In both industry and academic, the seismic exploration does not yet have the capability of illuminating the physical dynamics with high resolution and in real-time, as it involves collecting the raw seismic data from sensors to data loggers then manually retrieving data for post processing which may take months to complete. This study presents InsightTomo, a In-Situ Seismic Tomographic Imaging System based on sensor network technology and travel-time tomography principles. It is a large-scale sensor network system design that senses and processes seismic signals, and compute 3D tomography in-situ in real-time. The proposed InsightTomo system consists a distributed approach for tomography computation, collaborative signal processing and the associated sensor network design. We implemented InsightTomo and demonstrated that it can illuminate the 3D subsurface image of Parkfield in-situ in real-time. The design of InsightTomo in this paper is general, and can be implemented as a new field network paradigm for real-time imaging of highly dynamic and complex environments.