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VES/TEM 1D joint inversion by using Controlled Random Search (CRS) algorithm

机译:使用受控随机搜索(CRS)算法进行VES / TEM一维联合反演

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Electrical (DC) and Transient Electromagnetic (TEM) soundings are used in a great number of environmental, hydrological, and mining exploration studies. Usually, data interpretation is accomplished by individual 1D models resulting often in ambiguous models. This fact can be explained by the way as the two different methodologies sample the medium beneath surface. Vertical Electrical Sounding (VES) is good in marking resistive structures, while Transient Electromagnetic sounding (TEM) is very sensitive to conductive structures. Another difference is VES is better to detect shallow structures, while TEM soundings can reach deeper layers. A Matlab program for 1D joint inversion of VES and TEM soundings was developed aiming at exploring the best of both methods. The program uses CRS - Controlled Random Search - algorithm for both single and 1D joint inversions. Usually inversion programs use Marquadt type algorithms but for electrical and electromagnetic methods, these algorithms may find a local minimum or not converge. Initially, the algorithm was tested with synthetic data, and then it was used to invert experimental data from two places in Parana sedimentary basin (Bebedouro and Pirassununga cities), both located in Sao Paulo State, Brazil. Geoelectric model obtained from VES and TEM data 1D joint inversion is similar to the real geological condition, and ambiguities were minimized. Results with synthetic and real data show that 1D VES/TEM joint inversion better recovers simulated models and shows a great potential in geological studies, especially in hydrogeological studies. (C) 2014 Elsevier B.V. All rights reserved.
机译:电气(DC)和瞬变电磁(TEM)测深用于许多环境,水文和采矿勘探研究。通常,数据解释是通过通常导致模棱两可的模型的单个一维模型完成的。可以通过两种不同的方法对地下介质进行采样来解释这一事实。垂直电测深(VES)可以很好地标记电阻结构,而瞬变电磁测深(TEM)对导电结构非常敏感。另一个不同之处是,VES更适合检测浅层结构,而TEM测深可以到达更深的层。开发了Matlab程序,用于VES和TEM探测的一维联合反演,旨在探索这两种方法中的最佳方法。该程序对单个和一维联合反演使用CRS-受控随机搜索-算法。通常,反演程序使用Marquadt类型算法,但是对于电方法和电磁方法,这些算法可能会找到局部最小值或无法收敛。最初,使用合成数据对算法进行了测试,然后将其用于反转位于巴西圣保罗州巴拉那州沉积盆地(贝贝杜罗和皮拉孙格纳两个城市)两个地方的实验数据。从VES和TEM数据获得的地电模型1D联合反演与真实地质条件相似,并且模糊度最小。综合和真实数据的结果表明,一维VES / TEM联合反演可以更好地恢复模拟模型,并在地质研究中,尤其是在水文地质研究中显示出巨大的潜力。 (C)2014 Elsevier B.V.保留所有权利。

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