Numerical Modeling of Marine Self-Potential from a Seafloor Hydrothermal Ore Deposit

Xie, Jing; Cui, Yi-an; Fanidi, Meryem; Zhang, Lijuan; Guo, Youjun; Luo, Yijian; Liu, Jianxin

doi:10.1007/s00024-021-02720-3

Cited by 11 publications

(4 citation statements)

References 42 publications

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“…Geoelectrical resistivity experiments are based on-field measurement of ground resistivity by vertical electrical sounding (VES) [26,27] . The electrodes are configured in co-linear assemblies such as symmetrical Schlumberger and Wenner arrays or asymmetric Dipole-Dipole array.…”

Section: Geophysical Datamentioning

confidence: 99%

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Integrated Geophysical and Geospatial Approaches for Delineating Groundwater Potential Zones in Karachi, Pakistan

Khan¹,

Bokhari²,

Nisar³

et al. 2022

eps

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Availability of subsurface fresh water in coastal cities of the world is a growing problem due to sea level intrusion and less seepage. We have utilized an integrated data analysis in which conventional geophysical methods was used to collect primary data for the groundwater resources in Karachi and geospatial approaches were used to model the hydrogeological parameters. It was aimed to investigate geological/hydrogeological conditions of any aquifer system in the study area. The geophysical survey was conducted to acquire electrical resistivity data in the outskirts of Karachi. The geophysical survey was carried out at twenty-one stations by adopting vertical electrical sounding technique with schlumberger configuration. The field data was processed in an iterative process to improve the signal to noise ratio and obtain smooth field data curves for delineation of the aquifer. We have interpreted field data to model the geological information and determine the hydrogeophysical parameters of respective layers. These parameters including the number of layers, aquifer resistivity, aquifer lithology, aquifer thickness and depth to the aquifer, are determined at each field station. The acquired dataset of hydrogeophysical parameters was used to build a geospatial database. The multi-criteria analysis and decision-making process were utilized in GIS based program to model spatial distribution models of hydrogeophysical parameters. The results identified aquifer system in the depth ranging from 53.3 meter to 143.9 meter. The aquifer in the area are mostly sandstone having sufficient thickness which varies from northeast to south and southwest due to undulating topography of the area. The maximum potential of the groundwater is identified in the south which is suitable for water exploration because of low resistivity zone, high aquifer thickness, and flow of drainage network.

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Section: Geophysical Datamentioning

confidence: 99%

“…The curves show the apparent resistivity versus current electrode separation along VES profile. The shape of the field curve as H-type, A-type, K-type and Q-type may represent different subterranean conditions [26] . The field data curves are matched with master curves in semi-automation process.…”

Section: Geophysical Datamentioning

confidence: 99%

Integrated Geophysical and Geospatial Approaches for Delineating Groundwater Potential Zones in Karachi, Pakistan

Khan¹,

Bokhari²,

Nisar³

et al. 2022

eps

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show abstract

“…Numerical modeling applies to any complex model. Xie et al proposed a finite-infinite element coupling method to calculate a 3-D numerical model of the marine SP from seafloor hydrothermal sulfide deposits (Xie et al, 2021b).However, the result of numerical method is obtained by approximate calculation under a certain condition.…”

Section: Introductionmentioning

confidence: 99%

Formulas and Results

2024

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Section: Introductionmentioning

confidence: 99%

Three-Dimensional Analytical Solution of Self-potential from Regularly Polarized Bodies in Layered Seafloor Model

Zhang,

Cui,

Xie

et al. 2023

Preprint

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Abstract. The self-potential (SP) method is a sensitive geophysical means to locate seafloor polymetallic sulfide deposits. A reasonable SP forward modeling can provide a good foundation for inversion and interpretation of the measured data. We propose a method to solve the analytical solution of the SP generated by regularly polarized bodies in layered media. Based on the mirror image current theory, a new analytical formula was derived and clarified in detail for the models. We also discussed the analytical solution of layered models with different numbers of layers through numerical computation. Furthermore, a lab-based oxidation-reduction experiment was conducted to record the SP data. These data were used to simulate the SP generated by seafloor massive sulfide(SMS) deposits and assess the analytical solution previously. The result shows that the measured SP data matches the analytical solution well. That demonstrates the correctness of the proposed method and the corresponding analytical solution. It is significant to fast and precise forward modeling and inversion for SMS explorations.

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Numerical Modeling of Marine Self-Potential from a Seafloor Hydrothermal Ore Deposit

Cited by 11 publications

References 42 publications

Integrated Geophysical and Geospatial Approaches for Delineating Groundwater Potential Zones in Karachi, Pakistan

Integrated Geophysical and Geospatial Approaches for Delineating Groundwater Potential Zones in Karachi, Pakistan

Formulas and Results

Three-Dimensional Analytical Solution of Self-potential from Regularly Polarized Bodies in Layered Seafloor Model

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