MWTmat—application of multiscale wavelet tomography on potential fields

Mauri, Guillaume; Williams‐Jones, Glyn; Saracco, Ginette

doi:10.1016/j.cageo.2011.04.005

Cited by 19 publications

(22 citation statements)

References 19 publications

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“…Only depths found with at least three of the four wavelet analyses are considered significant. A more detailed description of MWT can be found in the works of Saracco et al (2007) and Mauri et al (2010Mauri et al ( , 2011 and references therein.…”

Section: Multi-scale Wavelet Tomographymentioning

confidence: 99%

“…These wavelets allow for location of dipole (in 1D, α = -2 and in 2D, α = -3) and monopole (in 1D, α = −1 and in 2D, α = −2) sources, which correspond to the electrical anomalies generated by water flow through bedrock (Sailhac and Marquis, 2001;Zlotnicki and Nishida, 2003;Saracco et al, 2004;Lénat, 2007). In order to obtain reliable source depths, each 1D self-potential profile was analyzed using the MWTmat code (Mauri et al, 2011) with 500 dilations on a range of dilation from 1 to 15 for each of the four analyzing wavelets. Only depths found with at least three of the four wavelet analyses are considered significant.…”

Section: Multi-scale Wavelet Tomographymentioning

confidence: 99%

“…3). Profiles of these measurements were then used to study the spatial and temporal variations of groundwater flow while multiscale wavelet tomography applied to the self-potential data enabled characterization of water depths (Mauri et al, 2010(Mauri et al, , 2011.…”

Section: Introductionmentioning

confidence: 99%

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A geochemical and geophysical investigation of the hydrothermal complex of Masaya volcano, Nicaragua

Mauri

Williams‐Jones

Saracco

et al. 2012

Journal of Volcanology and Geothermal Research

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a b s t r a c t KeywordsMasaya Hydrothermal Self-potential Wavelet Groundwater Volcano Masaya volcano, Nicaragua, is a persistently active volcano characterized by continuous passive degassing for more than 150 years through the open vent of Santiago crater. This study applies self-potential, soil CO 2 and ground temperature measurements to highlight the existence of uprising fluids associated to diffuse degassing structures throughout the volcano. The diffuse degassing areas are organized in a semi-circular pattern and coincide with several visible and inferred surface volcanic structures (cones, fissure vents) and likely consist of a network of buried faults and dykes that respectively channel uprising flow and act as barrier to gravitational groundwater flow. Water depths have been estimated by multi-scale wavelet tomography of the self-potential data using wavelets from the Poisson kernel family. Compared to previous water flow models, our water depth estimates are shallower and mimic the topography, typically less than 150 m below the surface. Between 2006 and 2010, the depths of rising fluids along the survey profiles remained stable suggesting that hydrothermal activity is in a steady state. This stable activity correlates well with the consistency of the volcanic activity expressed at the surface by the continuously passive degassing. When compared to previous structural models of the caldera floor, it appears that the diffuse degassing structures have an important effect on the path that shallow groundwater follows to reach the Laguna de Masaya in the eastern part of the caldera. The hydrogeological system is therefore more complex than previously published models and our new structural model implies that the flow of shallow groundwater must bypass the intrusions to reach the Laguna de Masaya. Furthermore, these diffuse degassing structures show clear evidence of activity and must be connected to a shallow magmatic or hydrothermal reservoir beneath the caldera. As such, the heat budget for Masaya must be significantly larger than previously estimated.

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Section: Multi-scale Wavelet Tomographymentioning

confidence: 99%

Section: Multi-scale Wavelet Tomographymentioning

confidence: 99%

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A geochemical and geophysical investigation of the hydrothermal complex of Masaya volcano, Nicaragua

Mauri

Williams‐Jones

Saracco

et al. 2012

Journal of Volcanology and Geothermal Research

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“…. Several numerical approaches has been applied to interpret SP anomalies including least square methods [19]-21], spectral analyzes [22]- [24], derivative and gradient analyzes [25], [26], moving average methods [27], [28], and global optimization methods, for example: particle swarm optimization (PSO) [29], [30], genetic algorithm (GA) [17], [30], simulated annealing (SA) [31], [30], differential evolution algorithm (DEA) [32], and black hole algorithm (BHA) [13]. These approaches are applied by researchers to obtain the suitable method which is able to find global optimum solution because the SP data inversion is a highly nonlinear inversion problem.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Model Parameter Determination of Self-Potential Data using Memory-based Hybrid Dragonfly Algorithm

Ramadhani

Sungkono

2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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A new approach based on global optimization technique is applied to invert Self-Potential (SP) data which is a highly nonlinear inversion problem. This technique is called Memory-based Hybrid Dragonfly Algorithm (MHDA). This algorithm is proposed to balance out the high exploration behavior of Dragonfly Algorithm (DA), which causes a low convergence rate and often leads to the local optimum solution. MHDA was developed by adding internal memory and iterative level hybridization into DA which successfully balanced the exploration and exploitation behaviors of DA. In order to assess the performance of MHDA, it is firstly implemented to invert the single and multiple noises contaminated in synthetic SP data, which were caused by several simple geometries of buried anomalies: sphere and inclined sheet. MHDA is subsequently implemented to invert the field SP data for several cases: buried metallic drum, landslide, and Lumpur Sidoarjo (LUSI) embankment anomalies. As a stochastic method, MHDA is able to provide Posterior Distribution Model (PDM), which contains possible solutions of the SP data inversion. PDM is obtained from the exploration behavior of MHDA. All accepted models as PDM have a lower misfit value than the specified tolerance value of the objective function in the inversion process. In this research, solutions of the synthetic and field SP data inversions are estimated by the median value of PDM. Furthermore, the uncertainty value of obtained solutions can be estimated by the standard deviation value of PDM. The inversion results of synthetic and field SP data show that MHDA is able to estimate the solutions and the uncertainty values of solutions well. It indicates that MHDA is a good and an innovative technique to be implemented in solving the SP data inversion problem.

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“…Posisi dan kedalaman sumber anomali dapat diindentifikasi melalui perpotongan garis ekstrema (singularitas). Untuk melakukannya secara akurat, dalam menganalisis wavelet harus dilakukan dengan urutan dervatif, hal tersebut memiliki hasil yang lebih baik daripada menggunakan distribusi sumber homogen [4].…”

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Penerapan Metode Continuous Wavelet Transform pada Data Self-Potential Studi pada Tanggul Lapindo Sidoarjo

Haf¹,

Sungkono²,

Santosa³

2017

JTITS

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Peristiwa semburan panas lumpur Sidoarjo yang terletak di Kecamatan Porong, Kabupaten Sidoarjo telah memasuki usia 11 tahun. Beragam peristiwa secara fisik telah terjadi seperti rusaknya tanggul yang terjadi akibat adanya saturasi air melalui retakan atau pori-pori tanggul. Berbagai upaya telah dilakukan untuk mengidentifikasi zona rembesan tanggul. Salah satunya dengan menerapkan metode Continuous Wavelet Transform (CWT) pada data Self-Potential (SP). Data yang diperoleh kemudian diolah dengan tujuan untuk mengetahui aplikasi metode CWT pada analisis data SP serta menentukan posisi dan kedalaman anomali. Dari hasil analisis data SP diketahui bahwa metode CWT dapat mengidentifikasi posisi dan kedalaman anomali tanggul Lumpur Sidoarjo serta didapatkan beberapa anomali yang dapat menyebabkan rembesan. Pada Lintasan 1 terdapat 2 anomali, Lintasan 2 terdapat 2 anomali, Lintasan 3 terdapat 3 anomali dan Lintasan 5 terdapat 1 anomali.

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MWTmat—application of multiscale wavelet tomography on potential fields

Cited by 19 publications

References 19 publications

A geochemical and geophysical investigation of the hydrothermal complex of Masaya volcano, Nicaragua

A geochemical and geophysical investigation of the hydrothermal complex of Masaya volcano, Nicaragua

A New Approach to Model Parameter Determination of Self-Potential Data using Memory-based Hybrid Dragonfly Algorithm

Penerapan Metode Continuous Wavelet Transform pada Data Self-Potential Studi pada Tanggul Lapindo Sidoarjo

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