It is well known that combining multiple geophysical data types in rock physics-driven multi-physics workflows can improve the robustness of reservoir property estimations. For example, the integration of prestack seismic inversion attributes with controlled source electromagnetic (CSEM) data has been shown to dramatically improve the certainty with which commercial hydrocarbon saturations can be distinguished from reservoirs containing only residual saturation, a problem that is hard to address with seismic methods alone. However there are many approaches to multi-physics analysis. The choice of approach depends on the data available and the geophysical objective of the analysis. Here we present a staged workflow for quantitative characterisation of reservoir properties using seismic and CSEM derived attributes.


Article metrics loading...

Loading full text...

Full text loading...


  1. Alvarez, P., Marcy, F., Vrijlandt, M., Skinnemoen, O., MacGregor, L., Nichols, K., Keirstead, R., Bolivar, F., Bouchrara, S., Smith, M., Tseng, H-W & Rappke, J.
    , 2018. Multi-physics characterisation of reservoir prospects in the Hoop area of the Barents Sea, Interpretation, 6 (3), SG1–SG17.
    [Google Scholar]
  2. Alvarez, P., Alvarez, A., MacGregor, L., Bolivar, F., Keirstead, R. & Martin, T.
    , 2017. Reservoir property prediction using CSEM, pre-stack seismic and well log data: Case study in the Hoop Area, Barents Sea, Norway, 2017, Interpretation, 5, SE43–SE60
    [Google Scholar]
  3. Andreis, D., MacGregor, L., Grana, D. & Ellis, M.
    , 2018. Overcoming scale incompatibility in petrophysical joint inversion of surface seismic and CSEM data. SEG Annual Meeting 2018, Expanded abstract.
    [Google Scholar]
  4. Avseth, P., T.Mukerji, and G.Mavko
    , 2005, Quantitative seismic interpretation -Applying rock physics tools to reduce interpretation risk: Cambridge University Press.
    [Google Scholar]
  5. Gallardo, L. A., and M. A.Meju
    , 2004, Joint two-dimensional DC resistivity and seismic travel-time inversion with cross-gradients constraints, J. Geophys. Res., 109, B033111–B0331111
    [Google Scholar]
  6. Meju, M., Saleh, A., Mackie, R., Miorelli, F., Miller, R. & Mansor, N.
    , 2017. Workflow for improvement of 3D anisotropic CSEM resistivity inversion and integration with seismic using cross gradient constraint to reduce exploration risk in a complex fold-thrust belt in offshore northwest Borneo, Interpretation, 6, SG49–SG57
    [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