Abstract Summary
Reduction in the uncertainties of subsurface properties is important for geothermal energy production and CO2 sequestration. Traditional methods of history matching using well dynamic regimes as observations could be challenging for these projects with a limited number of wells. We suggest measuring subsidence during field development and using it for history matching of subsurface properties. We used DARTS modeling framework to simulate fluid flow in the subsurface and computed geomechanics response using a physics based proxy. We performed history matching using an ensemble smoother with multiple data assimilation (ES MDA). We provided induced seismicity risk assessment using fault slippage criteria.
