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首页> 外文期刊>Energy & fuels >New Insight into the Petrophysical Characterization of Shales with Different Fluid Saturation States Based on Nuclear Magnetic Resonance Experiments
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New Insight into the Petrophysical Characterization of Shales with Different Fluid Saturation States Based on Nuclear Magnetic Resonance Experiments

机译:基于核磁共振实验的不同流体饱和状态对Shales岩石物理表征的新洞察力

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摘要

Petrophysical properties are important parameters for quantitatively evaluating the production of oil and gas reservoirs. Shale reservoirs have complicated pore structures and solid compositions, which makes reservoir evaluations more difficult than the conventional reservoirs. As a nondestructive technique, nuclear magnetic resonance (NMR) has been widely applied in both laboratory and field explorations of shale reservoirs. Many researchers have measured water-saturated shale samples using NMR to investigate porosities, pore structures, and free fluid saturations. However, because of the presence of organic matter and complex wettabilities, saturating shale samples with different types of fluids may change the obtained results. To provide new insight into the petrophysical characterization of shale, we performed NMR experiments (both one-dimensional and two-dimensional NMR) on marine gas shale samples from the upper Ordovician Wufeng formation-the lower Silurian Longmaxi formation in the Sichuan Basin of China. Shale samples were examined by NMR in three states, including oil-saturated, water-saturated, and oven-dried. Moreover, we performed routine porosity measurements, scanning electron microscopy, and nitrogen (N-2) adsorption experiments to comprehensively study the effect of different fluid saturation states on the petrophysical characterization results. The results indicate that more NMR signals can be detected by saturating shale with water, which is useful for estimating petrophysical properties; however, the T-2 distributions of the water-saturated shale samples provide limited information for gas production. The oil-saturated shale samples show two different shapes of T-2 distributions. Shale samples from low-production wells show one main peak, while samples from high-production wells show distinct triple peaks in the T-2 distributions (approximately at 0.22, 3.3, and 170 ms). These peaks represent the existence of microorganic pores, macroorganic pores, and microfractures. A novel identification graph of hydrogen-bearing compositions of organic-rich shale was put forward by analyzing the results of T-1-T-2 maps. The wettability index calculated with the NMR results was determined to be related to the gas production capacity of a well. The findings of our research studies will be useful for studying the pore type and wettability of shale and evaluating the gas production capacity of the well.
机译:岩石物理特性是定量评估石油和天然气储层生产的重要参数。页岩储层具有复杂的孔隙结构和固体组合物,使水库评估比传统的储层更困难。作为非破坏性技术,核磁共振(NMR)已广泛应用于页岩储层的实验室和现场探索。许多研究人员使用NMR测量水饱和页岩样品,以研究孔隙孔,孔结构和游离流体饱和。然而,由于存在有机物质和复杂的湿润,具有不同类型的流体的饱和页岩样品可以改变所获得的结果。为了为页岩的岩石物理表征提供新的洞察力,我们对来自上奥陶凡司武成地层的海洋气体页岩样品进行了NMR实验(一维和二维NMR) - 中国四川盆地的下艾尔氏龙马西形成。通过NMR在三种状态下检查页岩样品,包括油饱和,水饱和和烘箱干燥。此外,我们进行了常规孔隙度测量,扫描电子显微镜和氮(N-2)吸附实验,以全面地研究不同流体饱和状态对岩石物理表征结果的影响。结果表明,通过用水饱和页岩可以检测更多NMR信号,这对于估计岩石物理性质是有用的;然而,水饱和页岩样品的T-2分布为天然气生产提供了有限的信息。油饱和页岩样品显示出两种不同形状的T-2分布。来自低生产井的页岩样品显示出一个主峰,而来自高产井的样品在T-2分布(大约0.22,3.3和170ms)中显示出不同的三峰。这些峰值代表了微生物孔隙,宏峰孔隙和微磨术的存在。通过分析T-1-T-2映射的结果,提出了一种新的有机性页岩氢含氢组合物的新颖鉴定图。用NMR结果计算的润湿性指数被确定与井的气体生产能力有关。我们的研究研究结果将有助于研究页岩的孔隙型和润湿性,并评估井的天然气生产能力。

著录项

  • 来源
    《Energy & fuels》 |2020年第5期|5599-5610|共12页
  • 作者单位

    China Univ Petr Huadong Sch Geosci Qingdao 266580 Peoples R China;

    China Univ Petr Huadong Sch Geosci Qingdao 266580 Peoples R China;

    China Univ Petr Huadong Sch Geosci Qingdao 266580 Peoples R China;

    China Univ Petr Huadong Sch Geosci Qingdao 266580 Peoples R China;

    SINOPEC Explorat & Res Inst Chengdu 610041 Peoples R China;

    SINOPEC Explorat & Res Inst Chengdu 610041 Peoples R China;

    China Univ Petr Huadong Sch Geosci Qingdao 266580 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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