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A discussion of 2D induced polarization effects in airborne electromagnetic and inversion with a robust 1D laterally constrained inversion scheme

机译:具有鲁棒1D横向约束反转方案的空气电磁和反转中的2D诱导极化效应的讨论

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Recently, the interest in the induced polarization (IP) phenomenon in airborne time-domain electromagnetic (ATEM) data has increased considerably. IP may affect the ATEM data significantly and mask underlying geologic structures. To simulate 2D airborne IP data, a 2D finite-element forward-modeling algorithm has been developed with the dispersive conductivity described by the well-known Cole-Cole model. We verify our algorithm by comparison with the 1D solution of the Aarhuslnv code. Two-dimensional forward responses on six synthetic models, mimicking archetypal 2D conductive and chargeable anomalies, have been generated, and the results indicate that 2D IP affects the data significantly. Differences between the 2D IP responses and the 1D IP responses are evident above the 2D anomalies and at their edges. These differences are similar to what is found when comparing 2D and 1D forward responses over conductive 2D anomalies without considering IP. We evaluate an effective robust inversion scheme to recover the 2D IP parameters using the 1D laterally constrained inversion (LCI) scheme. The inversion of the synthetic data using the robust scheme indicates that not only can the IP parameters be recovered, but also the IP inversions can provide more accurate resistivity sections than a resistivity-only inversion, in terms of resistivity values and anomaly thickness/depth. The field example from Hope Bay area in Canada is even more valuable, considering that part of the profile consists of only negative data, which cannot be inverted with a resistivity-only scheme. Furthermore, the edge effects at the anomaly boundaries are less pronounced in the IP parameters than in the resistivity parameter on the synthetic models with more conductive backgrounds.
机译:最近,在空气中时域电磁(ATEM)数据中诱导极化(IP)现象的兴趣大大增加。 IP可能显着影响ATEM数据并掩盖底层地质结构。为了模拟2D机载IP数据,已经开发了一种具有众所周知的COLE-COLE模型描述的分散电导率的2D有限元前进建模算法。我们通过与AARHUSLNV码的1D解决方案进行比较验证我们的算法。已经生成了六种合成模型的二维前进响应,模仿原型2D导电和充电异常,结果表明,2D IP显着影响数据。 2D IP响应和1D IP响应之间的差异在2D异常和边缘上方明显明显。这些差异类似于在不考虑IP的情况下比较导电2D异常的2D和1D前进响应时发现的内容。我们评估了一种有效的强大反演方案,以使用1D横向约束的反转(LCI)方案来恢复2D IP参数。使用稳健方案的合成数据的反转表示不仅可以恢复IP参数,还可以在电阻率值和异常厚度/深度方面提供比仅电阻率的反转更精确的电阻率部分。来自加拿大希望湾区的野外示例更有价值,考虑到配置文件的一部分仅由否定数据组成,这不能以电阻率方案反转。此外,在IP参数中的异常边界处的边缘效应比具有更多导电背景的合成模型的电阻率参数在IP参数中不太明显。

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