Towards Online Natural Gas Composition Analysis by Low-Field NMR Spectroscopy

O. Mohnke, H. Thern, Sergio Ortiz, A. Świątek, Andreas Ohligschläger, Anton Duchowny, Pablo M. Dupuy, H. Widerøe, Øyvind Leknes, M. Küppers, A. Adams
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Abstract

The most common NMR methods in the oil and gas industry are NMR relaxometry and diffusometry. Relaxation times T1 and T2 as well as diffusivity D are determined for characterizing fluids and their surrounding pores in logging applications or laboratory analyses. NMR spectroscopy is rarely used for petrophysical investigations but primarily in medical, food, and material applications. In a joint operator-academia-service company project, we explore opportunities for gas component quantification by low-field NMR spectroscopy with the prospect of rig-site, production-plant, and sea-floor deployment. Using an affordable benchtop device in a production-like environment, we gained a fundamental understanding for a commercially viable application of low-field NMR spectroscopy and translated this knowledge into a practical workflow for online natural gas composition analysis. We measured typical natural gas components (all isomers from methane to n-hexane) with a portable desktop NMR spectrometer working at a proton resonance frequency of 60 MHz A hardware setup was manufactured for mimicking a gas production environment up to 200 bar. A database was populated by NMR signatures of pure gas components, derived from measurements on pure components and binary mixtures. Additional efforts were dedicated to understanding and quantifying systematic effects on the hydrocarbon NMR spectra connected to sample composition and pressure. Pre- and post-processing data procedures were developed and applied for substantially increasing robustness of the method and further improving the gas composition analyses results. Using an indirect hard modeling (IHM) analysis, the constituting pure components in binary, ternary, and more complex gas mixtures were identified and quantified. IHM automatically accounts for small variations and uncertainties in the NMR spectra. The results from the NMR spectrum analysis are in very good agreement with vendor certificates of gas composition obtained from gravimetrics and gas chromatography.
低场核磁共振在线分析天然气成分的研究
在石油和天然气工业中最常用的核磁共振方法是核磁共振弛豫法和扩散法。在测井应用或实验室分析中,松弛时间T1和T2以及扩散系数D可用于表征流体及其周围孔隙。核磁共振波谱很少用于岩石物理研究,但主要用于医疗,食品和材料应用。在一项作业公司、学术服务公司的联合项目中,我们通过低场核磁共振波谱技术探索了天然气成分量化的机会,并展望了在钻井现场、生产工厂和海底部署的前景。通过在类似生产的环境中使用价格合理的台式设备,我们对低场核磁共振波谱在商业上可行的应用有了基本的了解,并将这些知识转化为在线天然气成分分析的实际工作流程。我们用一台便携式台式核磁共振光谱仪测量了典型的天然气成分(从甲烷到正己烷的所有同分异构体),该光谱仪的质子共振频率为60 MHz。通过对纯气体组分和二元混合物的测量,建立了一个由纯气体组分的核磁共振特征组成的数据库。额外的努力致力于理解和量化与样品组成和压力相关的碳氢化合物核磁共振谱的系统影响。开发并应用了预处理和后处理数据程序,以大大提高方法的鲁棒性,并进一步改善气体成分分析结果。采用间接硬模型(IHM)分析,鉴定和量化了二元、三元和更复杂气体混合物的构成纯组分。IHM自动解释了核磁共振光谱中的微小变化和不确定性。核磁共振光谱分析的结果与供应商通过重量和气相色谱法获得的气体成分证书非常吻合。
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