Multi-objective optimization of monitoring well location for CO2 leakage detection

Gisell Royg, B. Barán, J. P. Nogués
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引用次数: 1

Abstract

Capture and sequestration of CO2 in deep geological formations has been an important option to reduce the amount of CO2 in the environment. At the same time, the presence of abandoned wells with unknown permeability and possible cracks in it, make possible the leakage of CO2. So, monitoring wells can be placed to detect those leakages. A multi-objective algorithm combined with Kalman Filter can be used to determine how many monitoring wells are required and where to place them, to reduce the uncertainty of the system. Experimental results demonstrate the feasibility of this novel proposal for CO2 capturing and the advantages of considering this problem as multi-objective for the first time.
CO2泄漏监测井位多目标优化
在深层地质构造中捕获和封存二氧化碳是减少环境中二氧化碳量的一个重要选择。与此同时,一些渗透率未知的废弃井和井中可能存在的裂缝,使二氧化碳的泄漏成为可能。因此,监测井可以用来检测这些泄漏。结合卡尔曼滤波的多目标算法可以确定需要多少口监测井以及监测井的位置,以减少系统的不确定性。实验结果证明了该方案的可行性,以及首次将该问题作为多目标来考虑的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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