Near-real Time Imaging of Subsurface Processes Using Geophysics

Versteeg, Roelof (INEEL)



Process imaging is one of the most promising new applications of geophysics. As the value of information on processes decreases with time (especially for processes with a high temporal frequency) one of the main challenges in using geophysics to image processes is the ability to provide useful information in near-real time. This requires automation of data acquisition, processing and visualization and result delivery. Integration of automated acquisition and on the fly processing and visualization using Columbia’s subsurface imaging lab demonstrates the feasibility of both collecting repeatable 4D datasets and doing on the fly automated imaging of processes. The main remaining challenges in imaging processes are the need for 4D inversion and automatic determination of visualizations which carry the most information