Online Modeling of CO2 Storage Systems

D. D. Erickson, Gregory D. Metcalf
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引用次数: 1

Abstract

This paper discusses the development and deployment of a specialized online and offline integrated model to simulate the CO2 (Carbon Dioxide) Injection process. There is a very high level of CO2 in an LNG development and the CO2 must be removed in order to prepare the gas to be processed into LNG. To mitigate the global warming effects of this CO2, a large portion of the CO2 Rich Stream (98% purity) is injected back into a depleted oil field. To reduce costs, carbon steel flowlines are used but this introduces a risk of internal corrosion. The presence of free water increases the internal corrosion risk, and for this reason, a predictive model discussed in this paper is designed to help operations prevent free water dropout in the network in real time. A flow management tool (FMT) is used to monitor the current state of the system and helps look at the impact of future events (startup, shutdowns etc.). The tool models the flow of the CO2 rich stream from the outlet of the compressor trains, through the network pipeline and manifolds and then into the injection wells. System behavior during steady state and transient operation is captured and analyzed to check water content and the balance of trace chemicals along with temperature and pressure throughout the network helping operators estimate corrosion rates and monitor the overall integrity of the system. The system has been running online for 24/7 for 2 years. The model has been able to match events like startup/shutdown, cooldowns and blowdowns. During these events the prediction of temperature/pressure at several locations in the field matches measured data. The model is then able to forecasts events into the future to help operations plan how they will operate the field. The tool uses a specialized thermodynamic model to predict the dropout of water in the near critical region of CO2 mixtures which includes various impurities. The model is designed to model startup and shutdown as the CO2 mixture moves across the phase boundary from liquid to gas or gas to liquid during these operations.
CO2存储系统的在线建模
本文讨论了一个专门的在线和离线集成模型的开发和部署,以模拟CO2(二氧化碳)注入过程。在液化天然气开发过程中,二氧化碳含量非常高,为了准备将气体加工成液化天然气,必须将二氧化碳去除。为了减轻二氧化碳对全球变暖的影响,大部分富二氧化碳流(纯度为98%)被注入枯竭的油田。为了降低成本,使用碳钢管线,但这会带来内部腐蚀的风险。游离水的存在增加了内部腐蚀的风险,因此,本文讨论的预测模型旨在帮助作业实时防止网络中的游离水脱落。流管理工具(FMT)用于监视系统的当前状态,并帮助查看未来事件(启动、关闭等)的影响。该工具模拟了富含二氧化碳的流体从压缩机组出口,通过网络管道和歧管,然后进入注水井的流动。系统在稳态和瞬态作业期间的行为被捕获和分析,以检查整个网络的含水量和微量化学物质的平衡以及温度和压力,帮助作业者估计腐蚀速率并监测系统的整体完整性。该系统已连续2年全天候在线运行。该模型已经能够匹配启动/关闭、冷却和崩溃等事件。在这些事件中,现场几个地点的温度/压力预测与实测数据相匹配。然后,该模型能够预测未来的事件,以帮助操作人员计划如何操作该油田。该工具使用一个专门的热力学模型来预测二氧化碳混合物(包括各种杂质)的近临界区域的水的析出。该模型旨在模拟在这些操作过程中,二氧化碳混合物从液体到气体或从气体到液体跨越相界时的启动和关闭过程。
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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