Effect of Coastal Winds on the Summer Dispersal of Young Least Cisco (Coregonus sardinella) from the Colville River to Prudhoe Bay, Alaska: A Simulation Model

1994 ◽  
Vol 51 (4) ◽  
pp. 890-899 ◽  
Author(s):  
Robert G. Fechhelm ◽  
James D. Bryan ◽  
William B. Griffiths ◽  
William J. Wilson ◽  
Benny J. Gallaway

A one-dimensional advection model was used to simulate the movement of young (< 180 mm) anadromous least cisco (Coregonus sardinella) along the Beaufort Sea coast between the Colville River and Prudhoe Bay, Alaska. Two versions of the model simulated eastward movement during the month of July as the sum of wind-induced transport and constant dispersion. Model results were compared with fyke-net catch data collected from 1981 to 1992. Of the 12 years examined, the models correctly simulated no major arrival of fish in 1983, 1985, 1986, 1987, and 1992, simulated the exact day of arrival in 1981, 1989, and 1991, and were in error by 1 d in 1988. Approximately 71% of the error between simulated and observed arrival dates was associated with three specific years: 1982, 1984, and 1990. The model suggests that wind-governed circulation may reasonably account for the presence of young Colville River least cisco in the Prudhoe Bay area. Results are discussed in terms of their relevance for assessing the effects of Arctic oil development on regional fishery resources.

1996 ◽  
Vol 61 (2) ◽  
pp. 242-258 ◽  
Author(s):  
Vladimír Kudrna ◽  
Libor Vejmola ◽  
Pavel Hasal

Recently developed stochastic model of a one-dimensional flow-through chemical reactor is extended in this paper also to the non-isothermal case. The model enables the evaluation of concentration and temperature profiles along the reactor. The results are compared with the commonly used one-dimensional dispersion model with Danckwerts' boundary conditions. The stochastic model also enables to evaluate a value of the segregation index.


2020 ◽  
pp. 014459872098361
Author(s):  
Zhongbao Wu ◽  
Qingjun Du ◽  
Bei Wei ◽  
Jian Hou

Foam flooding is an effective method for enhancing oil recovery in high water-cut reservoirs and unconventional reservoirs. It is a dynamic process that includes foam generation and coalescence when foam flows through porous media. In this study, a foam flooding simulation model was established based on the population balance model. The stabilizing effect of the polymer and the coalescence characteristics when foam encounters oil were considered. The numerical simulation model was fitted and verified through a one-dimensional displacement experiment. The pressure difference across the sand pack in single foam flooding and polymer-enhanced foam flooding both agree well with the simulation results. Based on the numerical simulation, the foam distribution characteristics in different cases were studied. The results show that there are three zones during foam flooding: the foam growth zone, stable zone, and decay zone. These characteristics are mainly influenced by the adsorption of surfactant, the gas–liquid ratio, the injection rate, and the injection scheme. The oil recovery of polymer-enhanced foam flooding is estimated to be 5.85% more than that of single foam flooding. Moreover, the growth zone and decay zone in three dimensions are considerably wider than in the one-dimensional model. In addition, the slug volume influences the oil recovery the most in the foam enhanced foam flooding, followed by the oil viscosity and gas-liquid ratio. The established model can describe the dynamic change process of foam, and can thus track the foam distribution underground and aid in optimization of the injection strategies during foam flooding.


1985 ◽  
Vol 23 (2) ◽  
pp. 137-147 ◽  
Author(s):  
R.P.W.M. Jacobs ◽  
B. Dicks
Keyword(s):  
Red Sea ◽  
Bay Area ◽  

ARCTIC ◽  
2014 ◽  
Vol 67 (2) ◽  
pp. 196 ◽  
Author(s):  
Alice A. Stickney ◽  
Tim Obritschkewitsch ◽  
Robert M. Burgess
Keyword(s):  
Bay Area ◽  

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