288. 越南CuLong盆地地质不确定性条件下水气交替CO2封存鲁棒优化

Robust optimization of CO2 Sequestration through a water alternating gas process under geological uncertainties in Cuu Long Basin, Vietnam

本研究提出了一个强大的优化工作流程，用于确定在非均质冲积砂岩储层中二氧化碳封存的最佳水气交替（WAG）过程。WAG注入可通过一体化模拟工作流程来增强CO2残留和溶解捕集。我们进行了连续CO2注入和WAG的比较，以展示WAG过程对CO2捕集的效率。考虑了储层的非均质影响和广泛的地质条件，生成了200个地质实现。通过对这些实现进行排名，我们量化了CO2累积注入（代表总体地质不确定性的P10、P50和P90实现）。

随后，创新的强大工作流程利用人工智能优化器确定了CO2封存的最佳解决方案。进行了P50实现的标称优化工作流程对比，结果显示提出的强大优化工作流程导致了更高的CO2封存。因此，本研究展示了一种快速可靠的工作流程，可以准确代表优化WAG过程中周期注入的地质不确定性。

This study presents a robust optimization workflow to determine the optimal water alternating gas (WAG) process for CO₂ sequestration in a heterogeneous fluvial sandstone reservoir. As depicted in this study, WAG injection could enhance CO₂ residual and solubility trapping based on an integrated modeling workflow. First, continuous CO₂ injection and WAG were compared to demonstrate the efficiency of the WAG process for CO₂ trapping enhancement. To achieve this while highlighting the impact of reservoir heterogeneity, 200 geological realizations were generated considering a wide range of plausible geological conditions. The ranking of these realizations was performed by quantifying the CO₂ cumulative injection (P10, P50, and P90 realizations) that represent the overall geological uncertainties. Then, an innovative robust workflow was used Artificial Intelligence optimizer to determine the optimal solution for CO₂ trapping. For comparison, a nominal optimization workflow of P50 realization was also conducted. The proposed robust optimization workflow resulted in higher CO₂ trapping than the nominal optimization workflow. Thus, this study demonstrates a fast and reliable workflow that can accurately represent for optimization the cycle length injection in the WAG process under geological uncertainties.