2020
DOI: 10.1016/j.petrol.2020.106903
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Transient multiphase flow modeling and validation in a real production system with high CO2 content using the drift-flux model

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Cited by 8 publications
(2 citation statements)
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“…In fact, DFM gather simplicity and high precision by selecting closure relations and taking into account the fluid relative volume change due to pressure change (compressibility assumption) (Chung et al 1992). The Drift Flux Models (DFM) have been used for multi-phase flow simulations: Santim et al (2020) obtained good agreement comparing a transient simulator, a non-isothermal DFM taking into account mass transfer between phases, with a proprietary computer application (OLGA Dynamic Multiphase Flow Simulation: a commercial software package, considered as a petroleum industry reference; Bendiksen et al 1991), validated with real data from an offshore production system. The main contribution of Naderi Lordejani et al (2020) was to employ a DFM for MPD operations, successfully validated with field data, depicting important industry scenarios (choke-plugging, pipe connection procedure and gas-influx).…”
Section: Introductionmentioning
confidence: 99%
“…In fact, DFM gather simplicity and high precision by selecting closure relations and taking into account the fluid relative volume change due to pressure change (compressibility assumption) (Chung et al 1992). The Drift Flux Models (DFM) have been used for multi-phase flow simulations: Santim et al (2020) obtained good agreement comparing a transient simulator, a non-isothermal DFM taking into account mass transfer between phases, with a proprietary computer application (OLGA Dynamic Multiphase Flow Simulation: a commercial software package, considered as a petroleum industry reference; Bendiksen et al 1991), validated with real data from an offshore production system. The main contribution of Naderi Lordejani et al (2020) was to employ a DFM for MPD operations, successfully validated with field data, depicting important industry scenarios (choke-plugging, pipe connection procedure and gas-influx).…”
Section: Introductionmentioning
confidence: 99%
“…。 在油气田勘探开发中, 地层中油气水等多相物质渗流过程的再现主要是通过油藏数值模拟来 完成的。目前,油藏数值模拟主要有黑油和组分两种模型 [5,6] 。在黑油模型中,地层流体仅为油、 气、水三相,各相的达西定律、质量守恒、流体状态方程、岩石本构关系及相渗关系形成完备的 微分方程组 [7,8] 。因 Standing [9] 提出泡点压力的概念,允许油气分离,在黑油模型中可以考虑界面 传质。Du, Nojabaei [10] 计算了原始泡点压力以上的连续黑油流体的特性,并对泡点和露点曲线进 行了扩展。Nickens [11] 和 Santos [12] 基于基本流动假设的漂移通量模型描述了井筒内的气、液两相 流动。油气是以烃为主体的多组分混合物,但是黑油模型忽略了流体中各组分对压力和温度变化 的影响,为对油气进行准确计算,采用组分模型进行了计算模拟。组分模型考虑了流体中每种组 分的特性,可以更准确地模拟组分对压力分布、温度分布和流体流动特性的影响,计算结果更加 2 精确可靠 [13] 。Gregory, Aziz [14] 和 Gould [15] 基于组分模型模拟了管道内流体流动,计算了两相流中 压力、温度和液体析出之间的关系。 地下非水相液体污染是 21 世纪环境治理面临的巨大挑战。多孔介质的污染主要包括土壤中 有机物和重金属离子的迁移。这些有机溶剂的溶解度较低,如氯化溶剂,一旦进入地下,就会以 非水溶液的形式存在于环境中 [16,17] 。这些有机溶剂具有毒性和持久性,会对地下水资源造成严重 而持久的污染 [18][19][20] 。因此,多相流数值模拟在地下水污染的修复和处理中具有重要作用 [21][22][23] 。 Sookhak Lari, Davis [24] 在考虑迟滞影响的基础上,提出了一种多相、多组分模型框架。与非滞后 情况相反,滞后影响非水相液体的摩尔分数和污染物的分布。 随着社会发展、 工业进步, 对能源需求日益增大。 核能具有体积相对较小而能量巨大的特点,…”
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