Induced polarization and hydraulic tomography joint inversion results on a synthetic model

These data are supplementary material for the following publication: Lukas Römhild, Gianluca Fiandaca, Peter Bayer (2024): Joint inversion of induced polarization and hydraulic tomography data for hydraulic conductivity imaging, Geophysical Journal International, Volume 238, Issue 2, August 2024, Pages 960–973, https://doi.org/10.1093/gji/ggae197 The data set presents induced polarization (IP) and hydraulic tomography (HT) inversion results for a simple synthetic model. In addition, a joint inversion approach for both data types was implemented, so that individual and joint inversion results can be compared. We also show how the joint inversion procedure has the potential to correct a petrophysical bias within the IP inversion by incorporating the hydraulic data. The effect of different HT setups is also assessed by implementing different source and receiver positions. The file directory contains the original synthetic model, a subfolder for the synthetic data of IP and HT, and a subfolder for the individual HT and IP, as well as the joint inversion results. The HT results contain three different setups (1m, 2m-inside, 2m-outside). The IP results are shown for five different assumptions of petrophysical bias (-2, -1, 0, +1, +2). The joint inversion results contain all possible combinations of these test cases. For more information on the methodology, we refer to the paper (see above, currently under review).本数据集为以下发表成果的补充材料：Lukas Römhild、Gianluca Fiandaca、Peter Bayer（2024）：《用于水力传导率成像的激发极化法（Induced Polarization, IP）与水力层析成像（Hydraulic Tomography, HT）联合反演》，《国际地球物理学杂志》（Geophysical Journal International），第238卷第2期，2024年8月，页码960–973，https://doi.org/10.1093/gji/ggae197 本数据集包含针对简单合成模型的激发极化法（IP）与水力层析成像（HT）反演结果。此外，本研究实现了针对两类数据的联合反演方法，以便对比单一反演与联合反演的结果。同时，本文展示了如何通过融合水力数据，依托联合反演流程修正IP反演中的岩石物理偏差。此外，本研究通过设置不同的激发源与接收点位置，评估了不同HT实验方案的影响。 本数据集的文件目录包含原始合成模型、IP与HT合成数据子文件夹、单一HT与IP反演结果子文件夹，以及联合反演结果文件夹。HT反演结果包含3种不同实验方案（1m、2m-inside、2m-outside）；IP反演结果针对5种岩石物理偏差假设（-2、-1、0、+1、+2）设置；联合反演结果则涵盖上述测试案例的所有可能组合。若需了解方法学的更多细节，可参阅上述待刊论文。