Marine self-potential survey for exploring seafloor hydrothermal ore deposits

Kawada, Yoshifumi; Kasaya, Takafumi

doi:10.1038/s41598-017-13920-0

Cited by 58 publications

(48 citation statements)

References 41 publications

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“…A similar phenomenon was also reported from a self-potential survey in a deep-sea hydrothermal field. [8] Negative self-potential signals were observed above active hydrothermal vents, visible sulfide mounds and Figure 2. Fuel-cell-type electricity generation at an artificial deep-sea hydrothermal vent.…”

Section: Widespread Electric Discharge In Deep-sea Hydrothermal Fieldsmentioning

confidence: 99%

“…These results indicate widespread and distant electron transfer occurs from the subseafloor hydrothermal fluid to the ambient seawater via electrically conductive, massive hydrothermal mineral deposits (Figure ). A similar phenomenon was also reported from a self‐potential survey in a deep‐sea hydrothermal field . Negative self‐potential signals were observed above active hydrothermal vents, visible sulfide mounds and the seafloor without such structures.…”

Section: Electricity Generation In Deep‐sea Hydrothermal Fieldsmentioning

confidence: 99%

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Deep‐Sea Hydrothermal Fields as Natural Power Plants

2018

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Deep‐sea hydrothermal vents are hot springs on the seafloor. In recent years, electricity generation in deep‐sea hydrothermal vents has been reported. Electricity can be generated through the sulfide minerals that form in seafloor hydrothermal deposits, and these minerals can convert the redox and heat energy between hydrothermal fluids and seawater into electric power. The physical and chemical phenomena of generating electricity from natural minerals provide key insights into development of deep‐sea power plants and novel electricity‐conversion materials with earth abundant elements. In addition, the new findings have established a novel concept of life, e. g., existence of electricity‐sustained life in hydrothermal vents and widespread occurrence of electron‐uptake ecosystems on the seafloor, together with a new hypothesis about the origin of life.

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Section: Widespread Electric Discharge In Deep-sea Hydrothermal Fieldsmentioning

confidence: 99%

Section: Electricity Generation In Deep‐sea Hydrothermal Fieldsmentioning

confidence: 99%

Deep‐Sea Hydrothermal Fields as Natural Power Plants

2018

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“…SP is an attractive technique for detecting marine ore deposits associated with geothermal activity (Kawada and Kasaya ). The reasons for this are the reduced noise levels and the ability to contact continuous measurements (Kawada and Kasaya ).…”

Section: Numerical Experimentsmentioning

confidence: 99%

“…), geothermal exploration (Corwin and Hoover ), volcanology (Fournier ; Aizawa ), coal fire detection (Shao et al . , ), hydrothermal ore deposits (Kawada and Kasaya ) and marine mineral deposits (Heinson et al . ).…”

Section: Introductionmentioning

confidence: 99%

A hybrid optimization scheme for self‐potential measurements due to multiple sheet‐like bodies in arbitrary 2D resistivity distributions

Giannakis

Tsourlos

Papazachos

et al. 2019

Geophysical Prospecting

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Self‐potential is a passive geophysical method that can be applied in a straightforward manner with minimum requirements in the field. Nonetheless, interpretation of self‐potential data is particularly challenging due to the inherited non‐uniqueness present in all potential methods. Incorporating information regarding the target of interest can facilitate interpretation and increase the reliability of the final output. In the current paper, a novel method for detecting multiple sheet‐like targets is presented. A numerical framework is initially described that simulates sheet‐like bodies in an arbitrary 2D resistivity distribution. A scattered field formulation based on finite differences is employed that allows the edges of the sheet to be independent of the grid geometry. A novel analytical solution for two‐layered models is derived and subsequently used to validate the accuracy of the proposed numerical scheme. Lastly, a hybrid optimization is proposed that couples linear least‐squares with particle‐swarm optimization in order to effectively locate the edges of multiple sheet‐like bodies. Through numerical and real data, it is proven that the hybrid optimization overcomes local minimal that occurs in complex resistivity distributions and converges substantially faster compared to traditional particle‐swarm optimization.

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“…Geophysical mapping methods, which continuously observe signals away from the seafloor, might be the best choice for this purpose. Using a deep-towed array, we have demonstrated that the self-potential method, which measures in situ electrostatic potential (e.g., Jouniaux and Ishido 2012;Revil and Jardani 2013), works effectively to locate seafloor hydrothermal ore deposits (Kawada and Kasaya 2017). The observed self-potential signals are likely to detect redox reactions occurring around an ore body as a negative self-potential anomaly above it (Sato and Mooney 1960).…”

Section: Introductionmentioning

confidence: 99%

Self-potential mapping using an autonomous underwater vehicle for the Sunrise deposit, Izu-Ogasawara arc, southern Japan

Kawada

Kasaya

2018

Earth Planets Space

Self Cite

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We performed a simultaneous survey of self-potential and plume turbidity using an autonomous underwater vehicle (AUV) above the Sunrise deposit in the Myojin Knoll caldera of the Izu-Ogasawara arc. A 10-m-long electrode rod, on which five electrodes referenced with a common electrode were mounted, was connected at the tail of an AUV. The survey was conducted at a typical speed of 2 knots, covering the 1500 m × 1500 m area with a typical spacing of survey lines of 100 m. With AUV altitude of 100 m above the seafloor, a negative self-potential anomaly of a few millivolts was observed. The self-potential anomaly was found to spread 300 m × 300 m. The self-potential is probably attributable to the geo-battery mechanism: electric current is generated by redox reactions occurring around an ore body crossing a redox contrast. Assuming that the source of the self-potential is an electric current dipole, we can image a southward-dipping dipole with the moment of approximately 10 3 A m, approx. 30 m below the southern part of the ore deposit. Anomalies of turbidity, which are correlated to ambient temperature and which are signatures of discharged hydrothermal fluids, were distributed more broadly than the self-potential. Some turbidity anomalies were found without self-potential anomalies. They were probably transported by the ocean current. Spatial decoupling between the self-potential and turbidity anomalies suggests that the direct contribution of hydrothermal fluids to the self-potential anomalies is probably a secondary effect. The survey altitude of 100 m and the survey speed of 2 knots in the present study represent practical limitations for the self-potential survey when active hydrothermal fields are targeted. We have observed that the self-potential method responds exclusively to the presence of hydrothermal ore deposits. This behavior differs from other methods for exploring seafloor hydrothermal ore deposits: The geomagnetic method responds not only to ore deposits but also to volcanic bodies. The plume method can detect remote hydrothermal activities, but the source locations are not necessarily specified. The self-potential method is useful as an excellent exploration tool, particularly for initial surveys.

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Marine self-potential survey for exploring seafloor hydrothermal ore deposits

Cited by 58 publications

References 41 publications

Deep‐Sea Hydrothermal Fields as Natural Power Plants

Deep‐Sea Hydrothermal Fields as Natural Power Plants

A hybrid optimization scheme for self‐potential measurements due to multiple sheet‐like bodies in arbitrary 2D resistivity distributions

Self-potential mapping using an autonomous underwater vehicle for the Sunrise deposit, Izu-Ogasawara arc, southern Japan

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