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Permeability Estimation Directly From Logging-While-Drilling Induced Polarization Data

机译:直接根据测井-钻进诱导极化数据估算渗透率

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摘要

In this study, we present the prediction of permeability from time domain spectral induced polarization (IP) data, measured in boreholes on undisturbed formations using the El-log logging-while-drilling technique. We collected El-log data and hydraulic properties on unconsolidated Quaternary and Miocene deposits in boreholes at three locations at a field site in Denmark, characterized by different electrical water conductivity and chemistry. The high vertical resolution of the El-log technique matches the lithological variability at the site, minimizing ambiguity in the interpretation originating from resolution issues. The permeability values were computed from IP data using a laboratory-derived empirical relationship presented in a recent study for saturated unconsolidated sediments, without any further calibration. A very good correlation, within 1 order of magnitude, was found between the IP-derived permeability estimates and those derived using grain size analyses and slug tests, with similar depth trends and permeability contrasts. Furthermore, the effect of water conductivity on the IP-derived permeability estimations was found negligible in comparison to the permeability uncertainties estimated from the inversion and the laboratory-derived empirical relationship.
机译:在这项研究中,我们通过使用El-log随钻测井技术从时域频谱感应极化(IP)数据(在未扰动地层的钻孔中测量)中预测渗透率。我们收集了丹麦现场三个位置的钻孔中未整合的第四纪和中新世沉积物的El-log数据和水力性质,其特征在于电导率和化学性质不同。 El-log技术的高垂直分辨率与现场的岩性变化相匹配,从而最大程度地减少了因分辨率问题引起的解释上的歧义。渗透率值是使用最近在一项针对饱和未固结沉积物的研究中提出的实验室得出的经验关系从IP数据计算得出的,无需进行任何进一步的校准。在IP推导的渗透率估算值与使用粒度分析和段塞测试推导的推导值之间发现了非常好的相关性,深度趋势和渗透率对比相似。此外,与从反演和实验室得出的经验关系估计的渗透率不确定性相比,水的电导率对IP的渗透率估计的影响被忽略。

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  • 来源
    《Water resources research》 |2018年第4期|2851-2870|共20页
  • 作者单位

    Aarhus Univ, Dept Geosci, HydroGeophys Grp, Aarhus C, Denmark;

    Aarhus Univ, Dept Geosci, HydroGeophys Grp, Aarhus C, Denmark;

    Tech Univ Denmark, Dept Environm Engn, Lyngby, Denmark;

    TU Braunschweig, Inst Geophys & Extraterr Phys, Braunschweig, Germany;

    Aarhus Univ, Dept Geosci, HydroGeophys Grp, Aarhus C, Denmark;

    Aarhus Univ, Dept Geosci, HydroGeophys Grp, Aarhus C, Denmark;

    Tech Univ Denmark, Dept Environm Engn, Lyngby, Denmark;

    Aarhus Univ, Dept Geosci, HydroGeophys Grp, Aarhus C, Denmark;

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