NS53A-03
Joint Inversion of Hydrological and Geophysical Data for Enhanced Reservoir Characterization
Friday, 18 December 2015: 14:20
3024 (Moscone West)
Michael Commer1, Stefan Finsterle1, Yingqi Zhang1 and Gary Michael Hoversten2, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Chevron Corporation Houston, Geophysical R&D, Houston, TX, United States
Abstract:
We present two hydrogeophysical joint inver sion studies that target the enhanced prediction of fluid saturations in CO2-induced enhanced oil recovery (EOR) operations as well as sequestration. Considered are two geophysical data types. The first study involves the combination of production data with time-domain electromagnetic (TEM) data. The second combines production with seismic amplitude-versus-angle (AVA) data. The pilot point method combined with geostatistical simulation is used to generate a spatially correlated, heterogeneous permeability field that is flexibly adjustable during the joint inversion process. Both geophysical data types promise an improved prediction of the CO2-saturation, indicating potential benefits in both EOR as well as CO2-sequestration monitoring operations.
