Fluid types and saturation are essential factors in assessing oil recovery resources and potential in organic-rich mudstones. One of the methods for analyzing tight rocks' saturation is low-field nuclear magnetic relaxometry (NMR). Interpretation of NMR results, particularly the data of T₁-T₂ maps, delivers different fluid saturation and estimates hydrogen populations. Although previous research proposed a qualitative interpretation of T₁-T₂ distributions, there is still no obvious scheme that can be directly applied in routine petrophysical studies. However, current NMR-based workflows and manual interpretation routines are subjective and laborious. We attempt to fill this gap by identifying the best interpretation scheme for three distinct types of organic-rich source rock of the Bazhenov formation and modifying a well-known T₁-T₂ map interpretation scheme. Experimental results include NMR 2-MHz T₁-T₂ datasets (original and differential maps for samples in as-received, dried, and saturated states) with the corresponding Rock-Eval pyrolysis parameters and mineral composition from X-ray diffraction. The analytical part compares the existing schemes and modifies the interpretation scheme based on the rock petrophysical background. The paper reviews the features of the manual interpretation and previously established schemes and proposes a modified scheme best fitted to the petrophysical and geochemical data. In addition, we study the impact of mineral composition and geochemical properties on T₁-T₂ signal interpretation and analyze cross-correlations. The study confirms the presence of a significant amount of clay-bound water from a detailed analysis of the corresponding regions in T₁-T₂ regular and differential maps. In the paradigm, we propose a semi-automated processing of NMR T₁-T₂ data using a custom interpretation scheme composed of regions from multiple interpretation schemes and consider their modification for high-quality results.

流体类型和饱和度是评估富含有机质泥岩的采油资源和潜力的重要因素。分析致密岩石饱和度的方法之一是低场核磁弛豫 (NMR)。核磁共振结果的解释，特别是 T ₁ -T ₂图的数据，提供不同的流体饱和度并估计氢的数量。虽然之前的研究提出了 T ₁ -T ₂的定性解释分布，目前还没有明显的方案可以直接应用于常规的岩石物理研究。然而，当前基于 NMR 的工作流程和手动解释程序是主观且费力的。我们试图通过确定 Bazhenov 组三种不同类型的富有机质烃源岩的最佳解释方案并修改众所周知的 T ₁ -T ₂图解释方案来填补这一空白。实验结果包括 NMR 2-MHz T ₁ -T ₂数据集（原样、干燥和饱和状态样品的原始和差分图）以及相应的 Rock-Eval 热解参数和来自 X 射线衍射的矿物成分。解析部分根据岩石岩石物理背景对现有方案进行了比较，并对解释方案进行了修改。该论文回顾了人工解释和先前建立的方案的特点，并提出了最适合岩石物理和地球化学数据的修改方案。此外，我们研究了矿物成分和地球化学特性对 T ₁ -T ₂信号解释的影响并分析了互相关。该研究通过对 T 中相应区域的详细分析，证实了大量粘土结合水的存在。₁ -T ₂正则图和微分图。在范式中，我们建议使用由来自多个解释方案的区域组成的自定义解释方案对 NMR T ₁ -T ₂数据进行半自动处理，并考虑对其进行修改以获得高质量的结果。