Advanced Analytical Tools for Fingerprinting, Production Allocation, & Improved/Enhanced Oil Recovery Monitoring

J. Swearingen, Yani Carolina Araujo de Itriago
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Abstract

Demands are being placed on service companies to provide non-evasive analytical solutions that measure the contribution of individual hydrocarbon streams in a commingled system. This often involves being able to differentiate fluids which have similar compositions. An advanced analytical workflow has been developed which includes chromatographic techniques along with a suite of stable isotope ratio analyses that look at unique Natural Tracers/Markers in individual hydrocarbon or brine streams. This paper will look at how the Natural Tracer methodology can be applied to fingerprinting, production allocation and IOR/EOR projects. A variety of laboratory-based techniques were used to evaluate end member fluids, commingled fluids, and various synthetic blends. Gaseous streams were analyzed using compound specific stable isotope ratio mass spectrometry systems (CS-IRMS) looking at carbon and hydrogen isotopes of the carbon dioxide, methane, ethane, etc. present. Aqueous streams were analyzed using a combination of conventional physiochemical (complete water) and water oxygen and hydrogen stable isotope analysis. Liquid hydrocarbon systems were assessed using conventional high-resolution gas chromatography and 2-dimentional gas chromatography (GCxGC). Analysis of the data includes simple plots to visualize differences between fluid sources and a linear regression analysis to look at the mixing relationships between synthetic blends and commingled field samples. The advanced analytical workflow allowed for the allocation determination of hydrocarbon systems with both similar and contrasting compositions. The GCxGC method, for hydrocarbon liquids, allows for a higher resolution separation where a single peak using conventional gas chromatography can be composed of multiple types of compounds. In this instance the conventional GC and GCxGC yielded comparable allocation results. For gas phase allocation, using carbon and hydrogen isotope ratios (δ13C and δ2H) of methane and ethane yielded linear mixing relationships in the two-production systems that were analyzed. Allocation values were successfully calculated for these binary systems with an outlying datapoint resulting in the client initiating an investigation to confirm flow meter readings. For an IOR/EOR application, the δ13C of methane show sufficient contrast between injected and produced gases that were sampled from a variety of wells. In this instance the gas molar compositions were similar so the only means to identify injection gas breakthrough in producing wells was by the CS-IRMS analysis technique. Complete physiochemical and water isotope ratio (δ18O and δ2H) analysis also show contrasting signatures between injection and produced water. An advanced analytic workflow was developed to incorporate commercially available, non-evasive techniques to production allocation and IOR/EOR projects. For production allocation, this technique will not replace traditional metering but can be used as a tool to identify problems with the metering/monitoring systems in the field.
先进的分析工具,用于指纹识别,生产分配和改进/提高石油采收率监测
服务公司被要求提供无规避的分析解决方案,以测量混合系统中单个油气流的贡献。这通常涉及能够区分具有相似成分的流体。开发了一套先进的分析工作流程,其中包括色谱技术以及一套稳定同位素比率分析,用于研究单个碳氢化合物或盐水流中独特的天然示踪剂/标记物。本文将研究如何将天然示踪剂方法应用于指纹识别、生产分配和IOR/EOR项目。各种基于实验室的技术被用于评估端部流体、混合流体和各种合成共混物。利用化合物稳定同位素比质谱系统(CS-IRMS)对气体流进行分析,观察二氧化碳、甲烷、乙烷等存在的碳和氢同位素。采用常规的物理化学(全水)和水氧、氢稳定同位素分析相结合的方法对含水流进行了分析。采用传统的高分辨率气相色谱法和二维气相色谱法(GCxGC)对液态烃体系进行了评估。对数据的分析包括简单的图表,以可视化流体来源之间的差异,以及线性回归分析,以查看合成混合物和混合现场样品之间的混合关系。先进的分析工作流程允许具有相似和对比成分的碳氢化合物系统的分配确定。对于烃类液体,GCxGC方法允许更高的分离分辨率,而使用传统气相色谱法的单峰可以由多种类型的化合物组成。在本例中,常规GC和GCxGC产生了相当的分配结果。对于气相分配,利用甲烷和乙烷的碳和氢同位素比值(δ13C和δ2H)得出了两种生产系统的线性混合关系。通过一个离群数据点,成功地计算出了这些二元系统的分配值,从而导致客户启动调查以确认流量计读数。对于IOR/EOR应用,甲烷的δ13C显示了从多口井中取样的注入和采出气体之间的充分对比。在这种情况下,气体摩尔成分相似,因此识别生产井注气突破的唯一手段是CS-IRMS分析技术。完整的物理化学和水同位素比值(δ18O和δ2H)分析也显示了注入水和采出水的对比特征。开发了一种先进的分析工作流程,将商业上可用的、无规避的技术纳入生产分配和IOR/EOR项目。对于生产分配,该技术不会取代传统的计量,但可以用作识别现场计量/监测系统问题的工具。
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