2014
DOI: 10.1002/2013gc004938
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Distribution of gas hydrates on continental margins by means of a mathematical envelope: A method applied to the interpretation of 3D Seismic Data

Abstract: [1] A 3D seismic volume from the Nankai Trough accretionary wedge (SE Japan) is used to evaluate the subsurface distribution of gas hydrates as a function of structural and stratigraphic complexity, variable heat flow patterns and the presence of subsurface fluid conduits. Eleven equations were modified for depth, pressure, and temperature, modeled in 3D, and compared with the distribution of BottomSimulating Reflections (BSRs) offshore Nankai. The results show that the equations produce overlapping-and thus p… Show more

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Cited by 6 publications
(7 citation statements)
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“…Global estimates of gas hydrate concentrations rely on the prediction of the extent of the GHSZ at specific geological settings [e.g., Klauda and Sandler , ]. The GHSZ extent can be predicted using thermodynamic models [e.g., Bale et al ., ; Dickens and Quinby‐Hunt , ; Lu and Sultan , ; Sloan and Koh , ] together with constraints from direct sampling and indirect evidence from both geophysical and geochemical data. Several numerical models have been proposed that emphasize controls on hydrate stability by specific parameters [ Bale et al ., , and references therein; Peszynska et al ., ].…”
Section: Introductionmentioning
confidence: 99%
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“…Global estimates of gas hydrate concentrations rely on the prediction of the extent of the GHSZ at specific geological settings [e.g., Klauda and Sandler , ]. The GHSZ extent can be predicted using thermodynamic models [e.g., Bale et al ., ; Dickens and Quinby‐Hunt , ; Lu and Sultan , ; Sloan and Koh , ] together with constraints from direct sampling and indirect evidence from both geophysical and geochemical data. Several numerical models have been proposed that emphasize controls on hydrate stability by specific parameters [ Bale et al ., , and references therein; Peszynska et al ., ].…”
Section: Introductionmentioning
confidence: 99%
“…The GHSZ extent can be predicted using thermodynamic models [e.g., Bale et al ., ; Dickens and Quinby‐Hunt , ; Lu and Sultan , ; Sloan and Koh , ] together with constraints from direct sampling and indirect evidence from both geophysical and geochemical data. Several numerical models have been proposed that emphasize controls on hydrate stability by specific parameters [ Bale et al ., , and references therein; Peszynska et al ., ]. The modeling approach by Sloan and Koh [] is particularly widely implemented for hydrate studies in different continental settings due to its applicability for gas hydrates with a mixed composition of microbial and thermogenic methane with higher‐order hydrocarbons (i.e., structures I, II, and H).…”
Section: Introductionmentioning
confidence: 99%
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“…Although our data cannot exclude the three-phase system hypothesis, the high resistivity values and the not sufficiently high chloride concentrations found in the study area do not fully support the existence of high-salinity pore water and suggest that free gas in the GHSZ may be due to another mechanism, possibly linked to gas supply in excess of hydrate formation 20 . The gas is supplied via the mapped structures showing chaotic reflections underneath pockmarks; additionally, gas can be supplied by conducts that cannot be imaged on seismic 49 .…”
Section: Methane Migration Pathways In a Collapsing Depocentermentioning
confidence: 99%
“…These areas are interpreted as ancient emission loci that are no longer active 48 . In addition, high gas and gas hydrate saturations are observed in areas with no clear connection to seafloor seep structures 48 , and are therefore interpreted as systems yet to be fully developed, i.e., no full bypass of gas occurs through the GHSZ and conduits for gas are not imaged on seismic 49 . Present-day, fully developed systems in the RGC have high gas saturations underneath pockmarks 48 and are commonly accompanied by flares in the water column.…”
Section: Methane Migration Pathways In a Collapsing Depocentermentioning
confidence: 99%