Stage 2C of the Otway project conducted by the CO2CRC Limited is focused on seismic monitoring of a small-scale injection of CO2-rich gas into a saline aquifer. Design of the monitoring program is based on a series of simulations conducted in 2007–2014. The gas plume is likely to be small in size and the contrast in elastic properties is also predicted to be relatively low. To maximise chances of detection the low-amplitude time-lapse signal we test the current processing workflow on synthetic datasets for the entire baseline and monitor surveys. The datasets were obtained by elastic 3D FDTD modelling approach for the actual field acquisition geometry and the most realistic model of the subsurface and gas plume. To this end, we built a full-earth static geological model of the site with resolution typical for reservoirs in petroleum geology. The analysis of the synthetic datasets gives an estimate of the magnitude of the time-lapse signal and illustrates effects of the conventional processing procedures on the signal in the presence of the bandlimited random noise. We have found that the anticipated intensity of the time-lapse signal is comparable to the average intensity within the target interval, and hence should be detectable.


Article metrics loading...

Loading full text...

Full text loading...


  1. Bohlen, T., De Nil, D., Kohn, D. & S., J.
    2015. SOFI 3D: seismic modelling with finite differences 3D - acoustic and viscoelastic version. Users Guide.
    [Google Scholar]
  2. Caspari, E., Pevzner, R., Gurevich, B., Dance, T., Ennis-King, J., Cinar, Y. & Lebedev, M.
    2015. Feasibility of CO2 plume detection using 4D seismic: CO2CRC Otway Project case study — Part 1: Rock-physics modeling. Geophysics80, B95–B104.
    [Google Scholar]
  3. Cook, P.J.E.
    2014. Geologically Storing Carbon: Learning from the Otway Project Experience. CSIRO Publishing.
  4. Pevzner, R., Caspari, E., Gurevich, B., Dance, T. & Cinar, Y.
    2015a. Feasibility of CO2 plume detection using 4D seismic: CO2CRC Otway Project case study — Part 2: Detectability analysis. Geophysics80, B105–B114.
    [Google Scholar]
  5. Pevzner, R., Shulakova, V., Kepic, A. & Urosevic, M.
    2011. Repeatability analysis of land time-lapse seismic data: CO2CRC Otway pilot project case study. Geophysical Prospecting59, 66–77.
    [Google Scholar]
  6. Pevzner, R., Tertyshnikov, K., Shulakova, V., Urosevic, M., Kepic, A., Gurevich, B. & Singh, R.
    2015b. Design and deployment of a buried geophone array for CO2 geosequestration monitoring: CO2CRC Otway Project, Stage 2C. In: SEG Technical Program Expanded Abstracts 2015, pp. 266–270.
    [Google Scholar]
  7. Pevzner, R., Urosevic, M., Caspari, E., Galvin, R.J., Madadi, M., Dance, T., Shulakova, V., Gurevich, B., Tcheverda, V. & Cinar, Y.
    2013. Feasibility of Time-lapse Seismic Methodology for Monitoring the Injection of Small Quantities of CO2 into a Saline Formation, CO2CRC Otway Project. Energy Procedia37, 4336–4343.
    [Google Scholar]
  8. Shulakova, V., Pevzner, R., Christian Dupuis, J., Urosevic, M., Tertyshnikov, K., Lumley, D.E. & Gurevich, B.
    2015. Burying receivers for improved time-lapse seismic repeatability: CO2CRC Otway field experiment. Geophysical Prospecting63, 55–69.
    [Google Scholar]

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error