Abstract Offshore oil and gas production is contributing to almost 30% of the total global oil and gas production. Since access to the offshore facilities is difficult, there is interest in monitoring the production facilities remotely. Multivariate statistical methods can be effectively used to monitor the offshore gas production plant. In this research work, monitoring of an offshore production plant is described. To demonstrate the monitoring cycle, a benchmark model for the offshore facilities is required. Mathematical modeling and simulations are useful tools for designing and predicting the accurate behavior of a production plant. As the first phase, we simulate an offshore oil and gas production plant using the process modeling tool, Aspen HYSYS. The model is based on the process specifications of a gas processing plant at the North Sea platform reported by Voldsund et al. (2013) . Several common faults from different fault categories, such as actuator faults and disturbances, are introduced and simulated in the dynamic system. A total of seven dynamic scenarios are investigated, and their impacts on the overall hydrocarbon production are analyzed. According to the results, the dynamic simulation can accurately generate the system response, including responses during faulty conditions. The simulations files, normal, and abnormal data are made available electronically. The developed model can be used as a benchmark system to test monitoring algorithms for offshore production facilities. In the second phase, we will describe the monitoring scheme for the plant.

中文翻译：

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海上天然气处理厂正常和异常运行的动态模拟

摘要 海上石油和天然气产量占全球石油和天然气总产量的近 30%。由于难以进入海上设施，因此对远程监控生产设施很感兴趣。多变量统计方法可以有效地用于监测海上天然气生产厂。在这项研究工作中，描述了对海上生产工厂的监控。为了演示监控周期，需要一个海上设施的基准模型。数学建模和模拟是设计和预测生产工厂准确行为的有用工具。作为第一阶段，我们使用过程建模工具 Aspen HYSYS 模拟海上石油和天然气生产工厂。该模型基于 Voldsund 等人报告的北海平台天然气加工厂的工艺规范。(2013)。在动态系统中介绍和模拟了来自不同故障类别的几种常见故障，例如执行器故障和扰动。总共研究了七个动态场景，并分析了它们对整体油气生产的影响。根据结果​​，动态仿真可以准确地生成系统响应，包括故障条件下的响应。模拟文件、正常和异常数据以电子方式提供。开发的模型可用作基准系统来测试海上生产设施的监控算法。在第二阶段，我们将描述工厂的监控方案。