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.

Keywords:

Artificial Intelligence, CO2 sequestration, geological uncertainties, robust 18 optimization, trapping mechanism, WAG process

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