Challenges to Backfilling an Existing Natural Gas Liquefaction Facility with Different Gas Specifications

A. Abdelaziz, S. Masi, A. Shehata, Domenico Cannatelli, C. Cannell
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Abstract

The design of new natural gas liquefaction facilities is closely aligned with the quality of the immediately available feed gas and the SPA’s agreed with customers. However, the lifetime of the facilities often extends beyond the lifetime of both the gas source and the duration of the SPA’s. Recent statistics indicate up to 60 MTPA of global liquefaction capacity is not utilized. Qualitative based approaches are often adopted to assess how an LNG plant responds to a change in feed gas specification. However a more valuable approach uses a quantitative analysis which can achieve an optimal outcome via individual tuning of a potentially large number of plant variables. Such an approach starts by performing actual plant capacity tests for different operating modes and process variables to capture baseline operation performance data. The plant test results are to validate a detailed plant simulation model which includes all the plant variables of interest. The validated model can then help identify the optimum operating condition and the benefits of a range of potential modifications. The methodology was used to identify solutions to a typical problem in a multi-train facility where a change from rich feed stock was accompanied by the presence of aromatics in a significantly leaner feed gas. Detailed modelling of the plant enabled an understanding of the solubility of the aromatics in the lean gas. The previously validated model of the real plant behaviour was then used to evaluate the benefits of changes to the key operating parameters and minor modifications to the plant itself. This resulted in a significantly more efficient and cost-effective solution than simply importing LPG which would have been the solution normally taken by a traditional "qualitative" approach. A similar approach was used to address an associated commercial challenge of satisfying a SPA demanding a high HHV with a leaner feed gas. In this case the solution relied not only on the technical insight afforded by the quantitative analysis but also a recognition that accurate tuning of the operational process allows a reduction in the conservatism of the product specification. Furthermore, with minor modifications, a multi-train process with segregated storage can be operated in multiple HHV mode provided careful procedures are employed to mitigate operational risks. This paper demonstrates how a holistic, detailed, quantitative analysis of gas liquefaction process can provide a good insight into the capability of existing plant to respond to changes in feedstock quality. The outlined methodology combined with a good understanding of the commercial features of the LNG business offers the possibility to better exploit the significant and growing amount of unused gas liquefaction capacity around the world.
现有不同规格天然气液化设施回填的挑战
新天然气液化设施的设计与即时可用原料气的质量密切相关,SPA与客户达成一致。然而,这些设施的使用寿命往往超过气源的使用寿命和SPA的使用寿命。最近的统计数据表明,全球液化能力中有高达60万吨/年的产能没有得到利用。通常采用基于定性的方法来评估液化天然气工厂如何应对原料气规格的变化。然而,更有价值的方法是使用定量分析,通过对潜在的大量植物变量进行个别调整,可以获得最佳结果。这种方法首先对不同的操作模式和过程变量执行实际的工厂容量测试,以获取基线操作性能数据。植物试验结果是为了验证一个详细的植物模拟模型,其中包括所有感兴趣的植物变量。经过验证的模型可以帮助确定最佳操作条件和一系列潜在修改的好处。该方法用于确定多列车设施中典型问题的解决方案,其中从丰富的原料变化伴随着明显稀薄的原料气中芳烃的存在。对植物的详细建模使我们能够了解芳烃在稀薄气体中的溶解度。然后使用先前验证的真实工厂行为模型来评估改变关键操作参数和对工厂本身进行微小修改的好处。与传统的“定性”方法相比,简单地进口液化石油气是一种效率更高、成本效益更高的解决方案。类似的方法用于解决相关的商业挑战,即用更稀薄的原料气满足要求高HHV的SPA。在这种情况下,解决方案不仅依赖于定量分析提供的技术洞察力,而且还依赖于对操作过程的精确调整,从而减少了产品规范的保守性。此外,只要稍加修改,采用隔离存储的多列流程就可以在多个HHV模式下运行,前提是采用谨慎的程序来降低操作风险。本文展示了如何对天然气液化过程进行全面、详细、定量的分析,从而更好地了解现有工厂应对原料质量变化的能力。概述的方法与对液化天然气业务商业特征的良好理解相结合,为更好地利用世界各地大量且不断增长的未使用天然气液化能力提供了可能性。
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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