页岩油中基于 T2∗ 和基于 T2 的岩石物理参数频率依赖性的数值研究

IF 9 1区 工程技术 Q1 ENERGY & FUELS
Jilong Liu, Ranhong Xie, Jiangfeng Guo
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引用次数: 0

摘要

本文首次建立了基于 T2∗ 的页岩油弛豫理论和数值模拟方法,并通过自由感应衰变(FID)脉冲序列实验进行了验证。首次将数字岩心技术与有机碳、Rock-Eval 分析、X 射线衍射定量分析实验相结合,构建了具有代表性的数字页岩岩心。基于随机游走法模拟了磁场频率(f)、矿物含量和类型以及磁感应强度差(MSD)对 T2∗ 响应的影响。首次提出了基于 T2∗ 和基于 T2 岩石物理参数的频率转换交叉图。结果表明,这些影响对基于核磁共振的岩石物理参数的影响是不可忽略的。当 Td = 1 μs、TE = 0.08 ms、f 为 200 MHz、黄铁矿含量为 5.43 %、MSD 为 9 × 10-5SI 时,T2∗ 分布的孔隙度、T2LM∗ 和有机质含量分别为 1.32 %、0.013 ms 和 9.019 %,是 T2 分布的 1.33 倍、0.006 倍和 1.37 倍。这项工作有助于在实验室核磁共振仪器和核磁共振测井之间实现岩石物理参数的频率转换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical investigation of T2∗-based and T2-based petrophysical parameters frequency-dependent in shale oil
In this paper, the T2∗-based relaxation theory and numerical simulation method in shale oil were established for the first time, which have been verified through free induction decay (FID) pulse sequence experiments. For the first time, the digital core technology was combined with organic carbon and Rock-Eval analysis, X-ray diffraction quantitative analysis experiments to construct representative digital shale cores. The effects of magnetic field frequency (f), mineral contents and types, as well as the magnetic susceptibilities difference (MSD) on T2∗ responses were simulated based on the random walk method. For the first time, the frequency conversion cross-plots for T2∗-based and T2-based petrophysical parameters were proposed. The results show these effects on NMR-based petrophysical parameters are non-negligible. When Td = 1 μs, TE = 0.08 ms, f is 200 MHz, pyrite content is 5.43 %, and MSD is 9 × 10−5SI, the porosity, T2LM, and organic matter content of T2∗ distribution is 1.32 %, 0.013 ms, and 9.019 %, which are 1.33 times, 0.006 times, and 1.37 times those of T2 distribution. This work contributes to frequency conversion of petrophysical parameters between in the laboratory NMR instrument and NMR logging.
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来源期刊
Energy
Energy 工程技术-能源与燃料
CiteScore
15.30
自引率
14.40%
发文量
0
审稿时长
14.2 weeks
期刊介绍: Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
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