Improved Pseudo-section Representation for CSAMT Data in Geothermal Exploration

Grandis, Hendra; Sumintadireja, Prihadi

doi:10.1088/1755-1315/62/1/012035

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…to an average resistivity value of 50 Ω.m after 500 samples and hence the results should improve with more iterations. This H-type model is a typical example of geothermal site with a conductive layer between two resistive layers(Grandis & Sumintadireja, 2017;Mohammad et al, 2013). The inversion results we have obtained indicated a fairly good compatibility with the initial synthetic model and thus it can be applied to geothermal explorations.…”

supporting

confidence: 52%

A Bayesian Inference Approach to Reduce Uncertainty in Magnetotelluric Inversion: A Synthetic Case Study

Kachaje¹,

Liu²,

Zhang³

2019

GEP

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The deterministic geophysical inversion methods are dominant when inverting magnetotelluric data whereby its results largely depends on the assumed initial model and only a single representative solution is obtained. A common problem to this approach is that all inversion techniques suffer from non-uniqueness since all model solutions are subjected to errors, under-determination and uncertainty. A statistical approach in nature is a possible solution to this problem as it can provide extensive information about unknown parameters. In this paper, we developed a 1D Bayesian inversion code based Metropolis-Hastings algorithm whereby the uncertainty of the earth model parameters were quantified by examining the posterior model distribution. As a test, we applied the inversion algorithm to synthetic model data obtained from available literature based on a three layer model (K, H, A and Q). The frequency for the magnetotelluric impedance data was generated from 0.01 to 100 Hz. A 5% Gaussian noise was added at each frequency in order to simulate errors to the synthetic results. The developed algorithm has been successfully applied to all types of models and results obtained have demonstrated a good compatibility with the initial synthetic model data.

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supporting

confidence: 52%

A Bayesian Inference Approach to Reduce Uncertainty in Magnetotelluric Inversion: A Synthetic Case Study

Kachaje¹,

Liu²,

Zhang³

2019

GEP

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“…In recent years, the Controlled Source Audio Geodetic Electromagnetic Method (CSAMT) has been developing rapidly, and its application in the detection of geological structures [5], geothermal [6] and minerals [7] has achieved remarkable results. In particular, CSAMT is used to detect underground geological structures with the characteristics and advantages of high resolution, high reliability and large detection depth, and it can effectively detect, identify and differentiate stratigraphic structures and fracture structures [8].…”

Section: Introductionmentioning

confidence: 99%

Application of CSAMT method in fine exploration of karst collapse columns in coal mines: a case study of Shanxi Province, China

Du,

Wang,

et al. 2024

Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023)

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Karst collapse columns are prone to cause severe water surges during mining activities, resulting in many casualties and property losses. In order to assess the impact of karst collapse columns on the excavation of the No. 3 coal seam of coal industry in Shanxi, this study used the Controlled Source Audio Geodetic Electromagnetic Method (CSAMT) to investigate the structural characteristics and hydrogeological conditions of two undisclosed karst collapse columns. It then scientifically evaluated the hydraulic conductivity hazards of the karst collapse columns. According to the line-view resistivity cross-section, the X1 karst collapse column mainly developed the Rockfill segment and slurry section, there is the possibility of sudden water. The DX17 karst collapse column presents relatively high resistivity electrically, the overall water-bearing performance is poor, and there is no sudden water hazard for mining and digging. The study results are of guiding significance to the water control work of traversing downhole and exposing karst collapse columns in the Ordovician high-bearing pressure water production workings.

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“…The frequency domain (FD) electromagnetic method (FDEM) describes the underground electrical distribution by frequency and apparent resistivity, this approach has been successfully applied in mineral exploration, geothermal exploration and oil exploration applications (An & Di, 2016; Cao et al., 2018; Grandis & Sumintadireja, 2017; Guo et al., 2019; Xue et al., 2022). Underground targets exhibit complex surface and interior structures.…”

Section: Introductionmentioning

confidence: 99%

Characteristic Research on Electromagnetic Response of Two‐Dimensional Complex Structure Targets Based on Meshless Method

Zhao

et al. 2023

Radio Science

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Improved Pseudo-section Representation for CSAMT Data in Geothermal Exploration

Cited by 5 publications

References 9 publications

A Bayesian Inference Approach to Reduce Uncertainty in Magnetotelluric Inversion: A Synthetic Case Study

A Bayesian Inference Approach to Reduce Uncertainty in Magnetotelluric Inversion: A Synthetic Case Study

Application of CSAMT method in fine exploration of karst collapse columns in coal mines: a case study of Shanxi Province, China

Characteristic Research on Electromagnetic Response of Two‐Dimensional Complex Structure Targets Based on Meshless Method

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