The Håkon Mosby mud volcano: 330 000 years of focused fluid flow activity at the SW Barents Sea slope

Pérez-García, Carolina; Feseker, Tomas; Mienert, Jürgen; Berndt, Christian

doi:10.1016/j.margeo.2009.03.022

Cited by 42 publications

(48 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The inlay on the lower right-hand side shows a seismic section from the Håkan Mosby mud volcano (Fig. 2a from Perez-Garcia et al 2009, changed) with a lens-shaped interface (red line), which is similar to the internal layer in the section from the North Alex mud volcano. Figure 10.…”

Section: Csem Experimentsmentioning

confidence: 96%

The use of rotational invariants for the interpretation of marine CSEM data with a case study from the North Alex mud volcano, West Nile Delta

Hölz¹,

Swidinsky²,

Sommer³

et al. 2015

Geophysical Journal International

View full text Add to dashboard Cite

S U M M A R YSubmarine mud volcanos at the seafloor are surface expressions of fluid flow systems within the seafloor. Since the electrical resistivity of the seafloor is mainly determined by the amount and characteristics of fluids contained within the sediment's pore space, electromagnetic methods offer a promising approach to gain insight into a mud volcano's internal resistivity structure. To investigate this structure, we conducted a controlled source electromagnetic experiment, which was novel in the sense that the source was deployed and operated with a remotely operated vehicle, which allowed for a flexible placement of the transmitter dipole with two polarization directions at each transmitter location. For the interpretation of the experiment, we have adapted the concept of rotational invariants from land-based electromagnetics to the marine case by considering the source normalized tensor of horizontal electric field components. We analyse the sensitivity of these rotational invariants in terms of 1-D models and measurement geometries and associated measurement errors, which resemble the experiment at the mud volcano. The analysis shows that any combination of rotational invariants has an improved parameter resolution as compared to the sensitivity of the pure radial or azimuthal component alone. For the data set, which was acquired at the 'North Alex' mud volcano, we interpret rotational invariants in terms of 1-D inversions on a common midpoint grid. The resulting resistivity models show a general increase of resistivities with depth. The most prominent feature in the stitched 1-D sections is a lens-shaped interface, which can similarly be found in a section from seismic reflection data. Beneath this interface bulk resistivities frequently fall in a range between 2.0 and 2.5 m towards the maximum penetration depths. We interpret the lens-shaped interface as the surface of a collapse structure, which was formed at the end of a phase of activity of an older mud volcano generation and subsequently refilled with new mud volcano sediments during a later stage of activity. Increased resistivities at depth cannot be explained by compaction alone, but instead require a combination of compaction and increased cementation of the older sediments, possibly in connection to trapped, cooled down mud volcano fluids, which have a depleted chlorinity. At shallow depths (≤50 m) bulk resistivities generally decrease and for locations around the mud volcano's centre 1-D models show bulk resistivities in a range between 0.5 and 0.7 m, which we interpret in terms of gas saturation levels by means of Archie's Law. After a detailed analysis of the material parameters contained in Archie's Law we derive saturation levels between 0 and 25 per cent, which is in accordance with observations of active degassing and a reflector with negative polarity in the seismics section just beneath the seafloor, which is indicative of free gas.

show abstract

Section: Csem Experimentsmentioning

confidence: 96%

The use of rotational invariants for the interpretation of marine CSEM data with a case study from the North Alex mud volcano, West Nile Delta

Hölz¹,

Swidinsky²,

Sommer³

et al. 2015

Geophysical Journal International

View full text Add to dashboard Cite

show abstract

“…The HMMV is a site of ongoing fundamental research regarding its geology (Feseker et al, 2008;Hjelstuen et al, 1999Hjelstuen et al, , 2007Kaul et al, 2006;Milkov et al, 2004;Perez-Garcia et al, 2009;Vogt et al, 1997Vogt et al, , 1999, marine geochemistry (Damm and Budéus, 2003;Lein et al, 1999;Sauter et al, 2007) Omoregie et al, 2008;Pimenov et al, 1999;Purser et al, 2009;Smirnov, 2000;Soltwedel et al, 2005), and biogeochemical habitats (Jerosch et al, 2006a;Milkov et al, 1999). Several expeditions have been and will be undertaken considering the HMMV as a long-term case study.…”

Section: Related Workmentioning

confidence: 99%

Development of a machine learning technique for automatic analysis of seafloor image data: Case example, Pogonophora coverage at mud volcanoes

Lüdtke

Jerosch

Herzog

et al. 2012

Computers & Geosciences

View full text Add to dashboard Cite

a b s t r a c tDigital image processing provides powerful tools for fast and precise analysis of large image data sets in marine and geoscientific applications. Because of the increasing volume of georeferenced image and video data acquired by underwater platforms such as remotely operated vehicles, means of automatic analysis of the acquired image data are required. A new and fast-developing application is the combination of video imagery and mosaicking techniques for seafloor habitat mapping. In this article we introduce an approach to fully automatic detection and quantification of Pogonophora coverage in seafloor video mosaics from mud volcanoes. The automatic recognition is based on textural image features extracted from the raw image data and classification using machine learning techniques. Classification rates of up to 98.86% were achieved on the training data. The approach was extensively validated on a data set of more than 4000 seafloor video mosaics from the Håkon Mosby Mud Volcano.

show abstract

“…The source level of the erupted mud and expelled fluids may lie within overpressurized oozes found below glacial deposits at depths of 2-3 km below the seabed (Hjelstuen et al 1999). More recently, Perez-Garcia et al (2009) described the evolution of the HMMV over the last 330,000 years and, based on acoustic and seismic data, inferred the presence of a pseudo-mud chamber and a funnel-shaped geometry of the shallow part of the conduit. Field observations made during successive oceanographic expeditions have emphasized the concentric zones of litho-types, as well as of geochemical and biological processes at the surface of the mud volcano (Milkov et al 1999de Beer et al 2006;Jerosch et al 2007), and demonstrated an exceptionally high activity of fluid and gas ejections through the seabed Feseker et al 2008).…”

Section: Geological Settingmentioning

confidence: 99%

Changes in seabed morphology, mud temperature and free gas venting at the Håkon Mosby mud volcano, offshore northern Norway, over the time period 2003–2006

et al. 2010

View full text Add to dashboard Cite

The Håkon Mosby mud volcano: 330 000 years of focused fluid flow activity at the SW Barents Sea slope

Cited by 42 publications

References 36 publications

The use of rotational invariants for the interpretation of marine CSEM data with a case study from the North Alex mud volcano, West Nile Delta

The use of rotational invariants for the interpretation of marine CSEM data with a case study from the North Alex mud volcano, West Nile Delta

Development of a machine learning technique for automatic analysis of seafloor image data: Case example, Pogonophora coverage at mud volcanoes

Changes in seabed morphology, mud temperature and free gas venting at the Håkon Mosby mud volcano, offshore northern Norway, over the time period 2003–2006

Contact Info

Product

Resources

About