[1E01-07] Natural resources development

2:00 PM - 2:15 PM JST(5:00 AM - 5:15 AM UTC)Japanese

[1E02] Development of a CCS migration prediction simulator using invasion percolation and proposal of a history-matching method using the ensemble Kalman filter

○Kohei Oshima¹, Hisanao Ouchi¹ (1. Waseda University)

Keywords:

Invasion percolation,Ensemble Kalman Filter,History Matching

Accurate prediction of CO₂ migration and reservoir characterization are essential for the successful implementation of CCS projects. In this study, an Invasion Percolation-based simulator was developed to efficiently predict CO₂ migration behavior by considering capillary pressure and buoyancy effects. Furthermore, an inverse modeling approach combining the simulator with the Ensemble Kalman Filter (EnKF) was proposed to estimate reservoir permeability distributions from CO₂ saturation observations. Numerical experiments were conducted to evaluate the proposed method, demonstrating its potential for efficient history matching with reduced computational costs compared to conventional reservoir simulation approaches.