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CALCULATION OF COMBINED T_1 AND T_2 SPECTRA FROM NMR LOGGING DATA

机译:从NMR测井资料计算合并的T_1和T_2谱。

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Bulk and surface relaxation phenomena are commonly described in terms of longitudinal relaxation times (TO and transverse relaxation times (T_2). Of these, T_1 information is not easily obtained by current nuclear magnetic resonance (NMR) logging tools for two reasons. First, T_1 measurements are time intensive, resulting in low logging speeds. Second, tool motion destroys the depth coherence within a T_1 measurement.rnConsequently, efforts have been concentrated on extracting as much information as possible from T_2 spectra. This approach lacks resolution power for slow relaxation processes because long pulse-echo trains are required to follow slow T_2 decay. Formation evaluation of carbonate reservoirs provides an example for the need for resolving slow relaxation processes. Both surface relaxation (which mostly affects the water phase) and bulk relaxation arise from weak molecular interactions causing slow relaxation.rnThe newest generation of NMR logging tools can directly capture slow relaxation processes by observing the T_1 polarization buildup. Multiple individual measurement volumes can be excited in rapid succession, with polarization sequences specifically designed to obtain T_1 information. In this way, depth coherence of the measurement is maintained, and correct T_1 spectra are obtained even when the tool is in motion.rnThis paper shows how the appropriate acquisition sequences are implemented and how the resultant two-dimensional data sets are processed to yield composite T_1/T_2 relaxation information. We use forward modeling to show that improved resolving power is obtained with the combined T_1/T_2 measurement.
机译:通常以纵向弛豫时间(TO和横向弛豫时间(T_2))描述整体和表面弛豫现象,其中,由于两个原因,当前的核磁共振(NMR)测井工具不容易获得T_1信息。测量消耗大量时间,导致测井速度降低;其次,刀具运动破坏了T_1测量中的深度相干;因此,人们集中精力从T_2光谱中提取尽可能多的信息;这种方法缺乏慢弛豫过程的分辨能力。因为需要长的脉冲回波来跟随缓慢的T_2衰变,碳酸盐岩储层的形成评价为解决缓慢的弛豫过程提供了一个例子,表面弛豫(主要影响水相)和体积弛豫都是由于弱分子相互作用引起的。造成缓慢的弛豫。最新一代的NMR测井工具可以直接捕获通过观察T_1极化的积累来缓和松弛过程。通过专门设计的极化序列以获得T_1信息,可以快速连续激发多个单独的测量体积。这样,即使在工具运动的情况下,也能保持测量的深度一致性,并获得正确的T_1光谱。rn本文展示了如何实现适当的采集序列以及如何处理所得的二维数据集以产生合成T_1 / T_2放松信息。我们使用正向建模来表明,通过组合的T_1 / T_2测量,可以获得更高的分辨能力。

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