Robust simulation of sharp-interface models for fast estimation of CO2 trapping capacity in large-scale aquifer systems
Robust simulation of sharp-interface models for fast estimation of CO2 trapping capacity in large-scale aquifer systems
复制标题
锐界面模型的鲁棒模拟可快速估计大型含水层系统中的二氧化碳捕集能力
DOI：
--
复制
发表时间：
2016
影响因子：
2.5
通讯作者：
O. Andersen
中科院分区：
文献类型：
--
作者：
H. Nilsen;Knut;O. Andersen
建立地质碳储量模型是地下地球科学面临的一个新的重大挑战。为了增加理解并做出好的工程决策，必须从千年的角度模拟遏制过程和大规模存储操作。空间和时间尺度上的巨大差异使得使用传统的3D模拟器计算注入的二氧化碳的命运变得昂贵得令人望而却步。相反，可以使用适用于浮力驱动的轻流体相迁移的特定设置的简化模型来计算准确的预测。本文提出了一系列垂直整合的模型，用于研究二氧化碳的结构、残留和溶解度捕获的大范围和长期综合影响。这些模型基于将二氧化碳和卤水分开的尖锐界面的假设，可以在合理的计算时间内提供数千年期间注入的二氧化碳体积的详细清单。为了与工业中使用的模拟工具兼容，这些模型是在黑油框架下制定的。模型在MRST-co2Lab中实现，这是一个专门为研究和优化大规模、长期的二氧化碳地质储存而开发的开放社区软件。由此产生的模拟器是完全隐式的，并处理来自标准地质建模工具的输入。
Modeling geological carbon storage represents a new and substantial challenge for the subsurface geosciences. To increase understanding and make good engineering decisions, containment processes and large-scale storage operations must be simulated in a thousand-year perspective. Large differences in spatial and temporal scales make it prohibitively expensive to compute the fate of injected CO2 using traditional 3D simulators. Instead, accurate forecast can be computed using simplified models that are adapted to the specific setting of the bouyancy-driven migration of the light fluid phase. This paper presents a family of vertically integrated models for studying the combined large-scale and long-term effects of structural, residual, and solubility trapping of CO2. The models are based on an assumption of a sharp interface separating CO2 and brine and can provide a detailed inventory of the injected CO2 volumes over periods of thousands of years within reasonable computational time. To be compatible with simulation tools used in industry, the models are formulated in a black-oil framework. The models are implemented in MRST-co2lab, which is an open community software developed especially to study and optimize large-scale, long-term geological storage of CO2. The resulting simulators are fully implicit and handle input from standard geomodeling tools.