2/3 of the reservoir surface area was approximately covered with dense populations of Myriophyllum, Ceratophyllum and Potamogeton species. The headwaters of the reservoir were considered as hard water and had both carbonatic and non-carbonatic hardness. When they were exposed to lentic condition of the reservoir and its intensive photosynthetic activities of macrophyte communities, the bicarbon...

The spatial distribution of petrophysical properties within the reservoirs is one of the most important factors in reservoir characterization. Flow units are the continuous body over a specific reservoir volume within which the geological and petrophysical properties are the same. Accordingly, an accurate prediction of flow units is a major task to achieve a reliable petrophysical description o...

Because of different behavior of reservoir water and dam material, the determination of hydrodynamic pressure during earthquake is very complicated. Thus, different formulations have been presented for modeling of the dam reservoir system under dynamic loading such as earthquake. These formulations can be categorized into two general groups, which are Lagrangian and Eulerian, each having advant...

In this paper the operation of multiple reservoirs by the utilization of analysis method of the system dynamics is considering and this analysis method is based on the feedback and object oriented events. The goal of this research is presentation of a new method by utilization of system dynamicity technique for simulation of the reservoir. This software is a product of Ventana Company and the e...

[1] The drainage systems of polythermal glaciers play an important role in high-latitude hydrology, and are determinants of ice flow rate. Flow-recession analysis and linear-reservoir simulation of runoff time series are here used to evaluate seasonal and inter-annual variability in the drainage system of the polythermal Finsterwalderbreen, Svalbard, in 1999 and 2000. Linear-flow recessions are...

A survey of new RNN training methods that follow the Reservoir paradigm Summary Echo State Networks (ESNs) and Liquid State Machines (LSMs) introduced a simple new paradigm in artificial recurrent neural network (RNN) training, where an RNN (the reservoir) is generated randomly and only a readout is trained. The paradigm, becoming known as reservoir computing, made RNNs accessible for practical...

Reservoir characterization plays a crucial role in modern reservoir management. It helps to make sound reservoir decisions and improves the asset value of the oil and gas companies. It maximizes integration of multi-disciplinary data and knowledge and improves the reliability of the reservoir predictions. The ultimate product is a reservoir model with realistic tolerance for imprecision and unc...

Reservoir Computing is a framework for computation like a recurrent neural network that allows for the black box modeling of dynamical systems. In contrast to other recurrent neural network approaches, Reservoir Computing does not train the input and internal weights of the network, only the readout is trained. However it is necessary to adjust parameters to create a ”good” reservoir for a give...

I the setting of an infected inflatable penile prosthesis (IPP), removal of the reservoir is a surgical challenge. We describe a novel technique for IPP reservoir removal at the time of IPP explantation utilizing laparoscopic instruments. We present two cases of infected IPPs requiring complete removal of all components of the implant. The corporal cylinders and scrotal pump were removed via a ...

Watershed nutrient management is essential in minimizing the eutrophication rate of reservoirs. A shortcoming in nutrient management of watershed-reservoir systems has been the lack of successful linking of watershed and water body models to evaluate impact of watershed management options on reservoir water quality. The objectives of this research were to 1) calibrate and validate a Soil and Wa...