TY - GEN
T1 - Discriminating between commercial and residual hydrocarbon saturation integrating pre-stack seismic and CSEM
AU - Alvarez, P.
AU - MacGregor, L. M.
AU - Alvarez, A.
AU - Bolivar, F.
AU - Keirstead, R.
AU - Martin, T.
PY - 2017
Y1 - 2017
N2 - We present an example from the Hoop area of the Barents Sea showing a sequential quantitative integration approach to integrate seismic and CSEM attributes using a rock physics framework, which allows us to discriminate between commercial and non-commercial (residual) hydrocarbon saturation. A dataset consisting of 2D GeoStreamer® seismic and towed streamer electromagnetic data that were acquired concurrently in 2015 by PGS provide the surface geophysical measurements used in this study. Two wells in the area: Wisting Central (7324/8-1) and Wisting Alternative (7324/7-1S) provide calibration for the rock physics modelling and the quantitative integrated analysis. In the first stage of the analysis, we invert pre-stack seismic and CSEM data separately for impedance and anisotropic resistivity respectively. We then apply the multi-attribute rotation scheme (MARS) to estimate rock properties from seismic data. This analysis verified that the seismic data alone cannot distinguish between commercial and non-commercial hydrocarbon saturations. Therefore, in the final stage of the analysis we invert the seismic and CSEM derived properties within a rock physics framework. The inclusion of the CSEM-derived resistivity information within the inversion approach allows for the separation of these two possible scenarios. Result show excellent correlation with known well outcomes.
AB - We present an example from the Hoop area of the Barents Sea showing a sequential quantitative integration approach to integrate seismic and CSEM attributes using a rock physics framework, which allows us to discriminate between commercial and non-commercial (residual) hydrocarbon saturation. A dataset consisting of 2D GeoStreamer® seismic and towed streamer electromagnetic data that were acquired concurrently in 2015 by PGS provide the surface geophysical measurements used in this study. Two wells in the area: Wisting Central (7324/8-1) and Wisting Alternative (7324/7-1S) provide calibration for the rock physics modelling and the quantitative integrated analysis. In the first stage of the analysis, we invert pre-stack seismic and CSEM data separately for impedance and anisotropic resistivity respectively. We then apply the multi-attribute rotation scheme (MARS) to estimate rock properties from seismic data. This analysis verified that the seismic data alone cannot distinguish between commercial and non-commercial hydrocarbon saturations. Therefore, in the final stage of the analysis we invert the seismic and CSEM derived properties within a rock physics framework. The inclusion of the CSEM-derived resistivity information within the inversion approach allows for the separation of these two possible scenarios. Result show excellent correlation with known well outcomes.
UR - https://www.scopus.com/pages/publications/85088409687
U2 - 10.3997/2214-4609.201701244
DO - 10.3997/2214-4609.201701244
M3 - Conference contribution
AN - SCOPUS:85088409687
T3 - 79th EAGE Conference and Exhibition 2017
BT - 79th EAGE Conference and Exhibition 2017
PB - European Association of Geoscientists and Engineers, EAGE
T2 - 79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter
Y2 - 12 June 2017 through 15 June 2017
ER -