The industry has widely accepted that AEM data are more frequently affected by induced polarisation (IP) effects than previously acknowledged. However, we still lack a clear understanding of how much, where, and when IP is present. Full modelling of airborne IP (AIP) is time and computationally intensive. As an alternative, we derive a novel tool, the “AIP scanner”, based on a combination of extensive data – space and limited model – space analysis. The basic assumption is that failing to model IP, when present, increases AEM inversion misfits. Several data space metrics, on negatives and on decay rates, are correlated to misfit from inversion ignoring IP over a small portion of the dataset. The correlation is used to predict the presence of AIP over the entire dataset. The last step is a recursive comparison between the map of predicted AIP and the results of full AIP modelling over a few selected lines. The resulting “AIP scanner” map indicates areas of definite AIP effects, areas possibly affected, and areas probably unaffected by AIP. Such maps are extremely useful tools for the exploration industry wishing to leverage AEM data information content. A case study from South Australia illustrates the scanner results relative to mapped geology and demonstrates the relationships between chargeability and the often unpredictable consequences for the resistivity inversions.

业界已广泛接受 AEM 数据比以前承认的更频繁地受激极化 (IP) 效应的影响。然而，我们仍然缺乏对知识产权存在的数量、地点和时间的清晰了解。机载 IP (AIP) 的完整建模需要大量时间和计算量。作为替代方案，我们基于广泛的数据——空间和有限模型——空间分析的组合，衍生出一种新颖的工具，“AIP 扫描仪”。基本假设是，如果 IP 建模失败，则会增加 AEM 反演失配。关于负数和衰减率的几个数据空间指标与忽略数据集一小部分 IP 的反演失配相关。该相关性用于预测整个数据集上 AIP 的存在。最后一步是将预测的 AIP 地图与几条选定线的完整 AIP 建模结果进行递归比较。生成的“AIP 扫描仪”地图指示了明确的 AIP 影响区域、可能受影响的区域以及可能不受 AIP 影响的区域。对于希望利用 AEM 数据信息内容的勘探行业来说，此类地图是非常有用的工具。来自南澳大利亚的一个案例研究说明了与测绘地质相关的扫描仪结果，并证明了可充电性与电阻率反转通常不可预测的后果之间的关系。对于希望利用 AEM 数据信息内容的勘探行业来说，此类地图是非常有用的工具。来自南澳大利亚的一个案例研究说明了与映射地质相关的扫描仪结果，并证明了可充电性与电阻率反转通常不可预测的后果之间的关系。对于希望利用 AEM 数据信息内容的勘探行业来说，此类地图是非常有用的工具。来自南澳大利亚的一个案例研究说明了与测绘地质相关的扫描仪结果，并证明了可充电性与电阻率反转通常不可预测的后果之间的关系。