页岩油层流体含量的原位评价:来自实验室和井场移动全直径核磁共振的见解

IF 4.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Junjie Wang, Pengfei Zhang, Shuangfang Lu, Yajie Yin, Chenxi Wu, Yangjian Yi, Panxue Li, Xinlin Song, Wenbiao Li, Guohui Chen, Nengwu Zhou
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引用次数: 0

摘要

准确评价复杂页岩储层的原位流体赋存状态和含量对于有效地进行资源评价和页岩油开采至关重要。对放置的样品进行的实验室测试常常由于可移动流体的损失而导致错误估计。低场核磁共振(NMR)技术无需粉碎岩心进行热解实验,正成为研究页岩孔隙流体的重要工具。同时,井场移动全直径岩心(MFDC)核磁共振正在迅速发展,可以在提取后立即对岩心进行首次测试。然而,这一领域的研究仍然有限。本研究采用创新的实验室油水恢复技术,结合二维(2D)横向(T1) -纵向松弛时间(T2)核磁共振和井场MFDC,对二联盆地乌里雅斯台凹陷白垩系腾格里组(K1bt1)和阿尔山组(K1ba)下一段地层流体含量进行了原位评价。研究结果表明,二维T1-T2核磁共振技术能够有效检测页岩油层中多种含氢组分。结合定量分析,揭示了恢复过程中油水信号的动态特征,建立了一种可靠的页岩油水含量评价方法。多级岩石热解(MRE)方法与二维核磁共振结果具有较强的相关性,证实了核磁共振的可靠性。由于页岩油成分的成熟度变化,下K1bt1和K1ba页岩的MRE热解结果与接收状态(AR)页岩的二维核磁共振数据呈现不同的线性相关性,促使下K1bt1页岩的核磁共振校正系数进行调整。K1bt1下段和K1ba下段流体态页岩的原位总含油量分别是AR态的1.9582倍和3.2489倍。实验室测量的原位状态页岩含油量与MFDC核磁共振结果一致,表明将实验室油水恢复技术与核磁共振相结合,可以更有效、准确地表征原位流体的产状和含量。此外,针对二连盆地下部K1bt1和K1ba页岩开发的经验s1校正模型在页岩油开采中具有更广泛的应用潜力。我们的研究为评估页岩油储层的原位流体提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In Situ Fluid Content Evaluation of Shale Oil Reservoirs: Insights from Laboratory and Wellsite Mobile Full-Diameter Core NMR

Accurate assessment of in situ fluid occurrence and content in complex shale reservoirs is crucial for effective resource evaluation and shale oil extraction. Laboratory tests on placed samples often lead to misestimations due to movable fluid loss. Low-field nuclear magnetic resonance (NMR) technology, which eliminates the need to crush cores for pyrolysis experiments, is emerging as a vital tool for studying shale pore fluids. Simultaneously, mobile full-diameter core (MFDC) NMR at wellsite is advancing rapidly, allowing for the first-time testing of cores immediately after extraction. However, research in this field remains limited. This study employed an innovative laboratory oil–water restoration technique alongside two-dimensional (2D) transverse (T1) – longitudinal relaxation time (T2) NMR and wellsite MFDC to evaluate the in situ fluid content in the lower first member of Cretaceous Tengger (K1bt1) and Aershan (K1ba) Formations of the Wuliyasitai Depression, Erlian Basin. Our findings demonstrate that the 2D T1–T2 NMR technique effectively detected various hydrogen-containing components in shale oil reservoirs. Combined with quantitative analysis, it revealed the dynamic characteristics of oil–water signals during restoration, establishing a reliable method for assessing shale oil–water content. The multistage Rock-Eval (MRE) pyrolysis method strongly correlated with the 2D NMR results, confirming the reliability of NMR. Due to maturity-related variation in shale oil composition, the MRE pyrolysis results of the lower K1bt1 and K1ba shales exhibited a different linear correlation with the 2D NMR data of as-received (AR) state shale, prompting adjustments to the NMR calibration coefficients for lower K1bt1 shale. The total oil content of the in situ fluid state shale was calculated to be 1.9582 and 3.2489 times greater than that of the AR state for the lower K1bt1 and K1ba formations, respectively. The laboratory-measured oil content of the in situ state shale aligned well with MFDC NMR results, indicating that integrating laboratory oil–water restoration techniques with NMR provides a more effective and accurate representation of in situ fluid occurrence and content. Furthermore, the empirical S1-corrected model developed for lower K1bt1 and K1ba shales in the Erlian Basin holds potential for broader application in shale oil operations. Our research offers valuable insights into evaluating in situ fluids in shale oil reservoirs.

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来源期刊
Natural Resources Research
Natural Resources Research Environmental Science-General Environmental Science
CiteScore
11.90
自引率
11.10%
发文量
151
期刊介绍: This journal publishes quantitative studies of natural (mainly but not limited to mineral) resources exploration, evaluation and exploitation, including environmental and risk-related aspects. Typical articles use geoscientific data or analyses to assess, test, or compare resource-related aspects. NRR covers a wide variety of resources including minerals, coal, hydrocarbon, geothermal, water, and vegetation. Case studies are welcome.
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