Application of Joint Inversion and Fuzzy C-means Cluster Analysis for Road Pre-investigations

Abstract

SUMMARYCollated DC resistivity and seismic profiling has become a popular method when doing pre-investigations for infrastructural projects such as roads and tunnels. The motivation behind the usage of two methods is that combined usage of both of these methods can decrease the ambiguity inherent to the individual use of these methods. Several software packages for inversion exist, but possibilities to combine several geophysical methods are limited; research algorithms that have this functionality exists and are evaluated herein. Joint inversion and fuzzy c-means cluster analysis are potentially ways to get the most of the collated data; thus enabling the methods to enforce each other is such a way that interpretation could be improved. These methods were applied on a field dataset from a pre-investigation of a new road. The joint inversion did not result in any major changes in the inverted models for this example, probably due to the very complex geology. The cluster analysis provides an additional tool for interpretation; highlighting for example a dolerite dyke, which can have strong influence on the construction and planning process.

Research Trends and Case Studies of Deep Learning Applications in Geo-electric and Electromagnetic Surveys

“…그러나 최근에는 컴퓨터와 여러 알고리듬의 아키텍쳐 발전 (Monajemi et al, 2016)으로 가단면도(psedosection) 이미지를 입력하여 역산 단면을 출력하는 CNN 알고리듬 을 사용하여 역산을 수행하기도 한다 (Neyamadpour et al, 2009;Vu and Jardini, 2021). 역산뿐 아니라 지질 구조를 구분하는 등의 해석을 요하는 과정에서도 심층학습을 사용 하여 효율적인 해석을 꾀한다 (Hellman et al, 2012;Ward et al, 2014). (Xu and Wu, 2006;Neyamadpour et al, 2009).…”

Porosity prediction using fuzzy clustering and joint inversion of wireline logs: A case study of the Nam Con Son basin, offshore Vietnam

“…Nayak et al [7] made an overview of fuzzy c-means to assist in clustering and classification. Hellman et al [8] integrated the fuzzy c-means cluster analysis and joint inversion to achieve the most from the collected datasets such as DC resistivity and seismic profiling for dolerite dyke. Thus, enabling the methods to enforce each other is such a way that interpretation could be improved.…”

Mapping Buried Alluvial Layer Using Integrated Seismic Refraction and 2-D Resistivity Inversions at Sungai Batu, Kedah, Malaysia

“…2 In contrast, when the higher density upper subsurface layer is underlain by a lower density layer, seismic refraction method cannot distinguish the between the two layers but these layers could be distinguished by resistivity method. 3 A way to play around the limitations is by combining inversion data from both methods via closure coupling to generate an enhanced model where one model influences the other model.…”