Prediction of ignitive turbidity currents in Scripps Submarine Canyon

Fukushima, Yusuke; Parker, Gary; Pantin, H. M.

doi:10.1016/0025-3227(85)90148-3

Cited by 149 publications

(105 citation statements)

References 12 publications

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“…They are generally applied to idealised cases to understand a specific physical mechanism. It is useful to directly apply models in an attempt to recreate real-world deposits (Fukushima et al, 1985;Huang et al, 2009;Doyle et al, 2010), but this requires good knowledge of the initial Figure 1. This schematic representation of a dense gravity current (left) and a corresponding depth-averaged shallow water approximation (right) shows current height h, volume fraction c, depth-averaged volume fraction ψ, velocity u, the forward component of the depth-averaged velocity u, and deposit depth η.…”

Section: Introductionmentioning

confidence: 99%

“…A drag force is applied along the length of the current which takes into account the viscous forces impeding the flow motion at the base and top of the flow. This model has been applied to large-scale turbidity currents (Fukushima et al, 1985;Huang et al, 2009). It is dependent upon the selection of numerous governing parameters and hence is a good case for inverse modelling.…”

Section: Modelmentioning

confidence: 99%

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Application of the adjoint approach to optimise the initial conditions of a turbidity current with the AdjointTurbidity 1.0 model

Parkinson¹,

Funke²,

Piggott³

et al. 2017

Geosci. Model Dev.

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Abstract. Turbidity currents are one of the main drivers of sediment transport from the continental shelf to the deep ocean. The resulting sediment deposits can reach hundreds of kilometres into the ocean. Computer models that simulate turbidity currents and the resulting sediment deposit can help us to understand their general behaviour. However, in order to recreate real-world scenarios, the challenge is to find the turbidity current parameters that reproduce the observations of sediment deposits. This paper demonstrates a solution to the inverse sediment transportation problem: for a known sedimentary deposit, the developed model reconstructs details about the turbidity current that produced the deposit. The reconstruction is constrained here by a shallow water sediment-laden density current model, which is discretised by the finite-element method and an adaptive time-stepping scheme. The model is differentiated using the adjoint approach, and an efficient gradientbased optimisation method is applied to identify the turbidity parameters which minimise the misfit between the modelled and the observed field sediment deposits. The capabilities of this approach are demonstrated using measurements taken in the Miocene Marnoso-arenacea Formation (Italy). We find that whilst the model cannot match the deposit exactly due to limitations in the physical processes simulated, it provides valuable insights into the depositional processes and represents a significant advance in our toolset for interpreting turbidity current deposits.

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Section: Introductionmentioning

confidence: 99%

Section: Modelmentioning

confidence: 99%

Application of the adjoint approach to optimise the initial conditions of a turbidity current with the AdjointTurbidity 1.0 model

Parkinson¹,

Funke²,

Piggott³

et al. 2017

Geosci. Model Dev.

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“…the migrating sand dunes in the SE African continental margin under the action of the Agulhas Current penetrating onto the shelf described by Flemming 1978Flemming , 1980Ramsay 1994; and on the upper slope of the Campos Basin, SE Brazil, described by Viana & Faugbres 1998;and Viana et al 2002a, b), which are easily transferred downslope along the canyon axis. Transferring mechanisms include the progressive increase of the lee-side gradient of the drift-related prograding wedges (Viana 1998), the continuous action of internal waves and tides (Cacchione & Drake 1986;Bogucki et al 1997;Cacchione et al 2002;Lima et al 2007), sediment resuspension by the action of storm currents (Fukushima et al 1985;Baltzer et al 1994), low-amplitude seismic activity, and the connection of the canyon head to a fluvial system during relative sea-level falls.…”

Section: Petroleum Explorationmentioning

confidence: 99%

The economic importance of contourites

Viana

Almeida

Nunes

et al. 2007

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Abstract:The importance of contour currents in shaping and building continental margins has long been accepted. Their economic implications and the stratigraphic framework in which they are developed remain largely unknown. Data retrieved from sidescan sonar images, seismic profiles and their attribute maps, as well as sea-floor coring, boreholes and the few known outcrops around the world, suggest that bottom currents can locally develop large deposits of relatively coarse-grained sediments. Accumulation of coarse-grained deposits under the influence of bottom currents requires sediment availability, a geologically persistent strong circulation regime and a favourable physiographic setting both for enhancing the currents and for hosting the sediments. The hydrocarbon exploration of oceanic depositional systems demands a better understanding of the role of bottom currents and their implications for petroleum systems such as reservoir and sealing rocks. Such understanding implies additional alternatives for the definition of exploration targets and prospect risk reduction. Correlating seismic anomalies from 3D mapping with core and well logging data reveals the depositional geometry and sedimentological characteristics of coarse-grained contourites. Fine-grained drifts can locally and regionally develop large and thick accumulations, which have an important seal potential for trapping hydrocarbon.

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“…Pantin 1979 Parker 1982a suspended load : Egashira, 1980;Parker et al, 1987 e w = 0.00153 0.0204 + Ri 16 Pantin, 1979;Parker, 1982a;Fukushima et al, 1985;Parker et al, 1986; 1000 m e.g., Inman et al, 1976Seymour, 1986Xu et al, 2004Inman et al 1976Inman Scripps 1968 (Naruse et al, 2007). The experimental apparatus was removed from the figure by image processing, so that only the turbidity current is visible.…”

mentioning

confidence: 99%

“…suspension Parker et al, 1986Parker et al 1986 autosuspension current self-accelerating turbidity current ignitive turbidity current e.g., Fukushima et al, 1985Bagnold, 1962 flow transformation e.g., Felix andPeakall, 2006 Mulder andSyvitski, 1995 Breaching Mastbergen and van den Berg,…”

mentioning

confidence: 99%

A review of the autosuspension of turbidity currents: its significance and gaps in our understanding

Naruse¹

2011

Jour. Geol. Soc. Japan

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Autosuspension is defined as a condition whereby turbidity currents can persist indefinitely if the external conditions are constant. The criteria for achieving autosuspension include erosion and an increase in flow density. Theoretically, most of the turbidity currents flowing down through submarine canyons are considered to be autosuspended currents. However, the theory of autosuspension has not been sufficiently verified through experiments, despite it being essential for understanding the origin of turbidity currents and the evolution of submarine fans. It is necessary to improve the theory by incorporating many other natural conditions, such as the cohesiveness of mud. Experimental investigations of autosuspension would provide advances in our understanding of the sedimentology of turbidity currents.

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Prediction of ignitive turbidity currents in Scripps Submarine Canyon

Cited by 149 publications

References 12 publications

Application of the adjoint approach to optimise the initial conditions of a turbidity current with the AdjointTurbidity 1.0 model

Application of the adjoint approach to optimise the initial conditions of a turbidity current with the AdjointTurbidity 1.0 model

The economic importance of contourites

A review of the autosuspension of turbidity currents: its significance and gaps in our understanding

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