
%0 Journal Article
%A Irons*, Trevor P. 
%A McPhserson, Brian J.O.L. 
%A Moodie, Nathan 
%A Krahenbuhl, Rich 
%A Li, Yaoguo 
%T Integrating geophysical monitoring data into multiphase fluid flow reservoir simulation
%J ASEG Extended Abstracts
%D 2018/02/26
%V 2018
%N 1
%P 1-5
%K 
%R https://doi.org/10.1071/ASEG2018ABW10_3B
%U https://www.publish.csiro.au/paper/ASEG2018ABW10_3B 
%X Simulation of multiphase flow systems are of critical importance in managing hydrological systems. Flow simulations are affected by a number of factors including structure and flow properties including porosity and permeability as well as the anisotropy and heterogeneity of these properties. In many cases traditional hydrological and reservoir data are highly affected by these parameters, but are not directly sensitive to them. As such modellers often adjust these parameters in an ad hoc manner until solutions numerically converge. Simulation models are generally based on structural data from reflection seismics whose physical flow properties are then populated using geostatistical extrapolation techniques utilizing a sparse number of borehole logs and core analysis. In multiphase systems including enhanced oil recovery and carbon capture and sequestration uncertainties regarding phase-dependent physical properties confounds this challenge further. Geophysical methods provide a means by which to gain an improved understanding of phase distributions in the subsurface. In this paper we will look at applications from active carbon capture and sequestration and enhanced oil recovery applications, as well as synthetic examples. Geophysical data including electromagnetic and gravity are inverted using structural constraints from the reservoir model. Inversions are then mapped into flow properties using calibrated relations such as Archie&#x2019;s Equation. The coupled models can then be used to both verify and improve on the reservoir flow model which improves it&#x2019;s predictive power and utility as a management tool. 
