Characterization of humic substances by advanced solid state NMR spectroscopy: Demonstration of a systematic approach

Characterization of humic substances is challenging due to their structural complexity and heterogeneity. Solid state nuclear magnetic resonance (NMR) is regarded as one of the best tools for elucidating structures of humic substances. The primary solid state NMR technique that has been used so far is the routine ¹³C cross polarization-magic angle spinning (CP-MAS) technique. Although this technique has markedly advanced our understanding of humic substances, the full potential of NMR for characterizing humic substances has yet to be realized. Recent technical developments and applications of advanced solid state NMR have revealed the promise to provide deeper insights into structures of humic substances. In this paper, we summarized and demonstrated the systematic solid state NMR protocol for characterization of humic substances using a humic acid as an example. This protocol included (1) identification of specific functional groups using spectral editing techniques, occasionally assisted by ¹H¹³C two-dimensional heteronuclear correlation (2D HETCOR) NMR, (2) quantification of specific functional groups based on direct polarization-magic angle spinning (DP-MAS) and DP-MAS with recoupled dipolar dephasing, combined with spectral editing techniques, (3) determination of connectivities and proximities of specific functional groups by ¹H¹³C 2D HETCOR or 2D HETCOR combined with spectral editing techniques, and (4) examination of domains and heterogeneities by ¹H¹³C 2D HETCOR with ¹H spin diffusion. We used a soil humic acid as an example to demonstrate how this protocol was applied to the characterization of humic substances step by step. Afterwards, based on typical ¹³C NMR spectra of humic substances we described how we could combine different NMR techniques to identify specific functional groups band by band from downfield to upfield. Finally, we briefly mentioned the potential new NMR techniques that could be developed to enrich the current systematic protocol. This systematic protocol is not only applicable to humic substances but also to other natural organic matter samples.     

大港枣园油田枣北孔店组砂岩储层微观非均质性与改善开发效果分析

砂岩储层的微观非均质性主要由砂岩孔隙特征、粘土矿物和孔喉分布等表征。通过岩心样品的常规薄片,铸体薄片、扫描电镜观察和粘土矿物X—衍射分析以及孔隙结构图象分析,揭示了大港枣园油田孔一段砂岩微观非均质性为中到强非均质储层,孔二段砂岩为强非均质储层,并建立了各层段的非均质模式,提供了相应的增产改造措施,使开发效果得到改善。     

雷达特征参数在人工增雨(雪)决策中的应用

对2016-2018年大连市86次降水过程(≥5mm)天气资料统计和分析,得到了冬季降水形势为高空槽、东北冷涡和平直西风气流场,春夏秋季为高空槽、东北冷涡、副高西南气流、西北气流及江淮气旋形势场,且降水多为稳定层结(夏季副高、冷涡等除外)；对SA新一代多普勒雷达资料PUP处理和分析,获得了降水回波特征及特征参数值,以及主要降水云系(层云、积层混合云和对流云)；根据雷达回波强度、顶高和垂直积分液态水含量等特征参数及变化,结合冷云催化原理等综合分析,研究建立了基于SA多普勒雷达的人工增雨(雪)作业预警、决策判别指标体系。利用2019年41次降水过程雷达资料进行指标验证分析,得到了87% 以上确率；对4月13日一次实例进行火箭增雨指挥系统业务运行及雷达反演决策判别等综合分析,取得了较好预期效果。