Efficient nested three-phase isenthalpic flash calculations with a hybrid Newton and Brent algorithm for water-CO2-hydrocarbon mixtures in CO2 storage simulations

IF 4.3 2区 工程技术 Q2 ENGINEERING, CHEMICAL Chemical Engineering Science Pub Date : 2025-04-01 Epub Date: 2025-02-20 DOI:10.1016/j.ces.2025.121379
Lingfei Xu , Arthur Moncorgé , Dan Vladimir Nichita
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Abstract

Carbon dioxide storage into depleted reservoirs/saline aquifers requires robust numerical compositional simulation tools that reveal the correct physics of the CO2-inclusive fluid in the injection and subsurface flows. When injecting CO2 for storage in the pure content, it is highly possible to encounter the boiling/narrow-boiling behavior, in which pure CO2 may exist in two phases at equilibrium. To capture such behaviors correctly, a compositional simulator with pressure-enthalpy specifications must be used. Moncorgé et al., (2022) established such a simulator embedding a nested isenthalpic (PH) flash calculation algorithm applying Broyden’s method. In this work, to improve the computational efficiency and robustness of the nested PH flash calculations, we developed a new hybrid Newton and Brent algorithm. In the new algorithm, Brent’s method is implemented to maintain the robustness, while Newton method is switched to reach fast convergence if the monotonic convergence criterion is satisfied. Moreover, an extrapolation strategy based on the sensitivity vector of phase compositions (in mole numbers) in terms of temperature, together with an accelerated isobaric-isothermal (PT) equilibrium calculation code, is proposed to further improve the computational efficiency of the PH calculations. Several case studies encompass a variety of mixtures, including mixtures that exhibit narrow-boiling behavior. Our results demonstrate that the hybrid algorithm is more efficient and robust than the previous nested PH algorithms. The hybrid algorithm is a strong candidate to be included in PH phase equilibrium packages and compositional simulators for CO2 storage.
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基于牛顿和布伦特混合算法的高效嵌套三相等焓闪速计算,用于模拟二氧化碳储存中的水-二氧化碳-碳氢化合物混合物
将二氧化碳储存到枯竭的油藏/含盐含水层中,需要强大的数值成分模拟工具,以揭示注入和地下流动中含二氧化碳流体的正确物理特性。当注入二氧化碳以纯内容储存时,极有可能遇到沸腾/窄沸腾行为,纯二氧化碳可能以两相平衡存在。为了正确捕获这些行为,必须使用具有压力-焓规格的成分模拟器。moncorg等人(2022)采用Broyden的方法建立了嵌入嵌套PH闪速计算算法的模拟器。在这项工作中,为了提高嵌套PH闪速计算的计算效率和鲁棒性,我们开发了一种新的牛顿和布伦特混合算法。在新算法中,采用Brent方法保持鲁棒性,同时在满足单调收敛准则的情况下,采用Newton方法实现快速收敛。此外,为了进一步提高PH计算的计算效率,提出了一种基于相组成(摩尔数)对温度的敏感性向量的外推策略,并结合加速等压等温(PT)平衡计算程序。包括各种混合物的几个案例研究,包括具有窄沸行为的混合物。结果表明,该混合算法比以往的嵌套PH算法具有更高的效率和鲁棒性。混合算法是一个强有力的候选者,包括在PH相平衡包和二氧化碳储存的成分模拟器。
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来源期刊
Chemical Engineering Science
Chemical Engineering Science 工程技术-工程:化工
CiteScore
7.50
自引率
8.50%
发文量
1025
审稿时长
50 days
期刊介绍: Chemical engineering enables the transformation of natural resources and energy into useful products for society. It draws on and applies natural sciences, mathematics and economics, and has developed fundamental engineering science that underpins the discipline. Chemical Engineering Science (CES) has been publishing papers on the fundamentals of chemical engineering since 1951. CES is the platform where the most significant advances in the discipline have ever since been published. Chemical Engineering Science has accompanied and sustained chemical engineering through its development into the vibrant and broad scientific discipline it is today.
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