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Dynamic Asphaltene Behavior for Gas Injection Risk Analysis

机译:气体注射风险分析动态沥青质行为

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Asphaltene study is now becoming a regular menu as a part of gas injection studies~(1-11). The asphaltene onset pressure (AOP) is one of the most important factors to understand asphaltene precipitating behavior. The SDS (solid detection system) based on light scattering technique has been quite popular and widely used in all over the world~(1,7-9,12-15). The simple experiments to measure AOP are usually conducted using mixture of reservoir fluid and injection gas, and various gas mixing volume are assumed to be investigated. These various experimental specification of gas mixing volume are useful to understand asphaltene risks during gas injection projects. However, what this investigation can show is just a static asphaltene behavior, and sometimes might overlook true asphaltene risks. In the gas injection pilot (GIP) project in an offshore carbonate oil field in the Arabian Gulf, the static asphaltene behavior was studied by the SDS using NIR (near infrared) light scattering technique. For this study, a single phase bottomhole sample was collected from the same producing zone, but the sampling location was 90 ft shallower than the GIP area. Various combination of mixtures (sampled reservoir fluid mixed with 0, 25, 37.5, 43.5 and 50 mol% injection gas) were examined to measure AOP. Furthermore, the numerical models were generated and calibrated with the experimental findings. In order to evaluate the asphaltene risks at the GIP area, the models were adjusted to the target oil composition by considering existing oil compositional gradient in the field. However, the modeling analyses showed that the operating conditions of producing wells are outside the estimated asphaltene precipitation envelope (APE). This result was inconsistent with the field fact, in which actual asphaltene deposits were observed and collected from bottomhole of some wells in the GIP area. Namely, we were obliged to judge that our current experimental results of static asphaltene behavior overlooked at the actual asphaltene risks. What is insufficient for a realistic modeling ? Our hypothesis is the dynamic asphaltene behavior. During gas injection process, the injected gas composition is changed due to vaporizing gas drive (VGD) mechanism, in which gas was enriched with the intermediate molecular weight hydrocarbons from reservoir oil. Our latest experimental investigation of static asphaltene behavior did not include this process. Therefore, the sensitivity analyses of the VGD effects were carried out with the calibrated model to realistically evaluate the actual APE. Various enriched gas composition were assumed, and the affects of these enriched gas on APE were investigated. Consequently, it was found that the enrichment of intermediate components expanded APE, and the operating condition of asphaltene problematic wells could be explained to be inside APE. Therefore, we concluded that the dynamic asphaltene behavior must be understood for a realistic risk evaluation in the gas injection project.
机译:沥青质研究现已成为常规菜单作为气体注射研究的一部分〜(1-11)。沥青质发作压力(AOP)是了解沥青质沉淀行为的最重要因素之一。基于光散射技术的SDS(固体检测系统)非常流行,广泛应用于世界各地〜(1,7-9,12-15)。通常使用储层流体和注射气体的混合物进行测量AOP的简单实验,并假设各种气体混合体积进行研究。这些气体混合体积的各种实验规范可用于了解气体注射项目期间的沥青质风险。然而,这项调查可以显示的是静态沥青质行为,有时可能忽略真正的沥青质风险。在阿拉伯海湾的海上碳酸盐油田中的气体喷射飞行员(GIP)项目中,SDS使用NIR(近红外)光散射技术研究了静态沥青质行为。对于该研究,从相同的生产区收集单相底孔样品,但采样位置比GIP区域浅90英尺。检查混合物的各种组合(与0,25,37.5,43.5和50mol%注射气体混合的取样储液流体)测量AOP。此外,使用实验结果生成和校准数值模型。为了评估GIP区域的沥青质风险,通过考虑现有的油田在该领域的油组成梯度,将模型调节到目标油组合物。然而,建模分析表明,产生井的操作条件在估计的沥青质沉淀包膜(APE)之外。该结果与场事实不一致,其中观察到实际的沥青质沉积物,从盖浦区域的一些孔的底部观察并收集。即,我们有义务判断我们目前在实际沥青质风险下忽略了静态沥青质行为的实际实验结果。什么是现实建模的不足?我们的假设是动态的沥青质行为。在气体喷射过程中,由于蒸发的气体驱动(VGD)机制而改变注入的气体组合物,其中富含来自储层油的中间分子量烃富含气体。我们对静态沥青质行为的最新实验研究不包括此过程。因此,通过校准模型进行VGD效应的敏感性分析,以实际评估实际的猿。假设各种富集的气体组合物,并研究了这些富集气体对猿的影响。因此,发现富集中间组分的浓缩膨胀的猿,并且可以解释沥青质有问题孔的操作条件以进入猿。因此,我们得出结论,必须理解动态沥青质行为用于气体注射项目中的现实风险评估。

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