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High Resolution Time-lapse Resistivity Tomography with Merging Data Levels by Two Different Optimized Resistivity Arrays for Slope Monitoring Study

机译:通过两个不同的优化电阻率阵列将数据水平合并的高分辨率延时电阻率层析成像技术,用于边坡监测研究

摘要

In this paper, we present high resolution time-lapse resistivity tomography study for slope monitoring using two optimized resistivity arrays of Wenner-Schlumberger and pole-dipole. These optimized resistivity arrays of Wenner-Schlumberger and pole-dipole give total of 2038 datum points for each data set. This slope monitoring study was conducted at Minden, Penang Island, Malaysia. Inversion results from computer suggested that optimized Wenner-Schlumberger and pole-dipole arrays would be equally effective but the merge data levels technique for both arrays would able to provide high resolution at imaging slope area. Our in-field data results showed that the two arrays imaged the subsurface for slope monitoring equally well. When in-field data levels from these two different arrays were merged and analyzed using 2-D inversion, however, the merging data levels using two different arrays was able to resolve the subsurface characterizations. Because the merging data levels using two different arrays requires roughly two times as measurement per line, we conclude that this technique is preferable for environmental geophysics than single array only when the high improvement in resolution at sensitivity, horizontal coverage, signal strength and investigation depth is more important than rapid data acquisition. The overall results using these two different arrays were quite compromising and remarkably significant for good improvement in data quality and data acquisition technique.
机译:在本文中,我们使用Wenner-Schlumberger和pole-dipole的两个优化电阻率阵列,对边坡监测进行高分辨率时移电阻率层析成像研究。这些优化的Wenner-Schlumberger和极偶极子电阻率阵列可为每个数据集提供总计2038个基准点。这项边坡监测研究是在马来西亚槟城岛明登进行的。计算机的反演结果表明,优化的Wenner-Schlumberger和极-偶极子阵列将同等有效,但是两个阵列的合并数据级别技术将能够在成像斜率区域提供高分辨率。我们的现场数据结果表明,这两个阵列对地下成像都同样好,以进行坡度监测。但是,当将这两个不同阵列的现场数据级别合并并使用2-D反演进行分析时,使用两个不同阵列的合并数据级别能够解决地下特征。因为使用两个不同阵列的合并数据级别每行需要大约两次测量,所以我们得出结论,仅当灵敏度,水平覆盖范围,信号强度和调查深度的分辨率得到高度改进时,此技术对环境地球物理学而言比单个阵列更可取比快速数据采集更重要。使用这两个不同的阵列的总体结果非常妥协,对于数据质量和数据采集技术的良好改进非常重要。

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