Dynamic Seismic Monitoring & Characterization
Dynamic seismic monitoring detects underground changes quasi-continuously. When processing the quasi-continuous data for the subsurface imaging and inversion, we focus on using of spatio-temporal information, such as incremental inversion algorithms, temporal regularization, and Kalman filter. Quasi-continuous monitoring needs more frequent data acquisition. In order to make the cost compatible with the conventional snap-shot monitoring approach, carefully designed sparse surveys (e.g., the cross-spread shown above) and image integration techniques are needed. We use surface reflection data and/or active/passive borehole data for the monitoring.
Santos, E., and Harris, J., DynaSirt: A Robust Dynamic Imaging Method Applied to CO2 Sequestration Monitoring, submittted to SEG Extended Abstracts 28, 2008.
Franklin, J. , Urban, J. and Harris, J.M., Temporal Integration of Seismic Traveltime Tomography. 75th Ann. Internat. Mtg., Soc. Expl. Geophys., 2005.
Quan, J., and Harris, J., Stochastic Seismic Inversion using both Waveform Data and Its Application to Time-Lapse Monitoring, Published 2009 SEG Las Vegas Annual Meeting.
Vogelaar, B., Smeulders, D., and Harris, J., Differential Acoustic Resonance Spectroscopy (DARS) Measurements, 2008, 70th EAGE Conference & Exhibition, I038.