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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Analysis of time-lapse data error in complex conductivity imaging to alleviate anthropogenic noise for site characterization
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Analysis of time-lapse data error in complex conductivity imaging to alleviate anthropogenic noise for site characterization

机译:复杂电导率成像中延时数据误差分析,以减轻现场表征的人为噪声

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摘要

Previous studies have demonstrated the potential benefits of the complex conductivity (CC) imaging over electrical resistivity tomography for an improved delineation of hydrocarbon-impacted sites and accompanying biogeochemical processes. However, time-lapse CC field applications are still rare, in particular for measurements performed near anthropogenic structures such as buried pipes or tanks, which are typically present at contaminated sites. To fill this gap, we have developed CC imaging (CCI) results for monitoring data collected in Trecate (northwest Italy), a site impacted by a crude oil spill. Initial imaging results reveal only a poor correlation with seasonal variations of the groundwater table at the site (approximately 6 m). However, it is not clear to which extend such results are affected by anthropogenic structures present at the site. To address this, we performed a detailed analysis of the misfit between direct and reciprocal time-lapse differences. Based on this analysis, we were able to discriminate spatial and temporal sources of systematic errors, with the latter commonly affecting measurements collected near anthropogenic structures. Following our approach, CC images reveal that temporal changes in the electrical properties correlate well with seasonal fluctuations in the groundwater level for areas free of contaminants, whereas contaminated areas exhibit a constant response over time characterized by a relatively high electrical conductivity and a negligible polarization effect. In accordance with a recent mechanistic model, such a response can be explained by the presence of immiscible fluids (oil and air) forming a continuous film through the micro and macropores, hindering the development of ion-selective membranes and membrane polarization. Our results demonstrate the applicability of CCI for an improved characterization of hydrocarbon-contaminated areas, even in areas affected by cultural noise.
机译:以前的研究已经证明了复杂电导率(CC)成像在电阻率断层扫描上成像的潜在益处,以改善碳氢化合物撞击位点和随附的生物地球化学过程。然而,延时CC现场应用仍然是罕见的,特别是对于在诸如掩埋管道或罐中的诸如诸如掩埋的管道或罐附近的测量,其通常存在于受污染的位置。为了填补这一差距,我们已经开发了CC成像(CCI)的结果,以监测Trecate(意大利西北部)收集的数据,该网站受到原油泄漏的影响。初始成像结果仅揭示了与现场地下水位的季节变化(约6米)的季节变化不良。然而,延伸这类结果是不明确的,这些结果受到现场存在的人为结构的影响。为解决此问题,我们对直接和互惠延时差异之间的错入进行了详细分析。基于该分析,我们能够区分系统误差的空间和时间源,随后常将影响靠近人为结构收集的测量。在我们的方法之后,CC图像显示电性能的时间变化与地下水位中的季节性变化与无污染物的区域的季节性波动相关,而污染区域随时间表现出恒定的反应,其特征在于相对高的导电性和可忽略的偏振效应。根据最近的机械模型,可以通过在通过微观和大孔形成连续膜的不混溶的流体(油和空气)来解释这种反应,妨碍了离子选择性膜和膜极化的发育。我们的结果表明CCI的适用性即使在受文化噪声影响的区域也是改进的烃污染区域的表征。

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