Integration of ANN based Proxy model in EnKF Framework After development of an accurate proxy model based on ANN, the next task is to combine it with existing EnKF framework for assisted history matching. Permeability realizations are represented in terms of eigenvalues and corresponding eigen functions along with random variables using KL expansion as described in section 2.2. Once the eigenvalues and their corresponding eigen functions are determined after truncating terms in KL expansion, a realization can be generated with a certain number of values ξ_i from the standard Gaussian distribution N(0,1) using Eqn. (13). Each vector of random variable represents a permeability realization. These random variable vectors are used as input parameters for development of the proxy models. General workflow for development of the proxy models has been shown in Fig.4. A detailed explanation for proxy model generation will be provided in further section using a real field case study of SAGD reservoir. The proxy models are then used in forecast step of EnKF. EnKF workflow starts from construction of a state vector shown in Eqn. (2). In KL-ANN-EnKF approach, state vector consists of random variables as model parameters representing the permeability field along with production parameters. In forecast step, reservoir simulator is replaced by the proposed ANN proxy model and production parameters are estimated considering random variables as input parameters. Output spread is
Next, it is necessary to identify the land that is possibly flooded and this can be calculated as:
© The Authors JCSCR. (2012). A Comparative Study on the Performance. LACSC – Lebanese Association for Computational Sciences Registered under No. 957, 2011, Beirut, Lebanon, 1-12.
As the new lieutenant in charge of policing violent crime in the city, the increase of violent crimes has been brought to my knowledge. Understanding that, some changes will be implementing into our department. For the past two months the amount of knowledge I have encounter when dealing within the criminal justice agencies, has been a lot. However, it has been the major key to making an organization have structure, a mission to oblige by, as well reducing the crime rate effectively. In this dissertation (meeting) a discussion of the new model intelligence-led approach will be describe how, along with an example of how well other organization utilizing these concepts to improve the reduction of crimes. Finally, a goal will be presented on how to go about implementing the evidence-based practice chosen.
Civica will first create the model for future conditions based on the calibrated model. This will involve adding proposed ponds and changing parameter values to reflect the future developments (e.g. imperviousness and curve number).
Developing and implementing strategies that can secure adequate water for both people and the environment is one of the most important missions of the water management districts in Florida. To fulfill their missions, the water management districts develop water supply plans to help provide adequate and sustainable water supplies to meet future needs while protecting the environment. One of the more important tools used in the planning process is a regional groundwater model.
The watershed model is used to develop projections of peak stream flows and water surface (flood)
SC spoke with Pa and CG on 09/30/2015. No falls, hospitalization, changes in health status or medications were reported by Pa or CG. Pa reported that both she and spouse (Travers Russell was not present when SC called; Pa stated he went to the senior center and he’s doing well no unmet needs) are receiving services as outlined in the ISP. Pa’s goals remain unchanged both her and spouse remain satisfied with services and feel that they meeting their current needs. Pa reported that all services are received in the correct type, scope, amount, duration, and frequency as specified in the ISP. Pa self-directed model PAS provide hands on assistance and supervision with bathing, dressing, grooming, toileting, light home support and meal prep; daily
Much of the scholarly literature related to sinkhole science agrees that there is a lack of technology made specifically for sinkhole predication. This gap in the literature has influenced one of the sub-claims that will be discussed in this paper: sinkhole prediction technology is currently in its infancy. Some would argue that geographic information science (GIS) can be used to predict sinkhole development, but the antecedent conditions that lead to the development of sinkholes occur primarily underground, which makes sinkhole prediction using GIS difficult (Brinkmann, 2013, p.134). Intrieri et al (2015) expand on the current state of sinkhole
Recent decades have seen an increase in the amount of water flowing into the reservoirs, primarily due to increases in impervious surfaces. “Of the 10 largest pools that have accumulated in the reservoirs, nine have occurred since 1990 and six of those were since 2000.”21 In 2009, the dams of the reservoirs underwent an evaluation. They were classified as Dam Safety Action Classification (DSAC) 1 Dams, meaning at extremely high relative risk for failure when considered with the potential life and economic consequences. The embankment permeability and strength and the outlet structures were seen as areas of
In the fifth grade I want to spend the summer with my cousin's year. She's my dad's twin’s daughter so that makes us more like sisters. During that summer she introduced me to this game called The Sim. The Sims is a life simulation video game series developed by EA Maxis and published by Electronic arts. The purpose of this game is to create humanlike characters called Sims and you as the player get to direct their life. You control whether they get jobs, start families, or cause trouble. For a couple of hours, in my case six hours minimum every time I play, you play God and are in complete control. After that summer I was. I have my parents purchased the latest game and I kissed my life goodbye. Over the course of a nine years I have wasted
A model that can equivocally lay down the range of ambiguity in its inputs, this can handle more accurate and more enlightening estimates than deterministic calculations. Influence diagrams are advantageous tools in mapping out the conclusions, occasions, and variables that can affect potential consequences of decisions and circumstances. In this study, we can use a software tool, so as to offer assistance in modeling a diagram that will represents the interrelationships amongst approximately 58 variables that include figures for wind, wave action, rain, engineering, geology, demographics and the potential for undesirable consequences of hurricanes and overflows in the New Orleans area. At the utmost level, we can use NOLA Flood Control Risk Analysis System in which will have two major locational sub-models that are: Mississippi River flood and natural disaster analysis that was observed after Hurricane Katrina. (Model X) And Lake Pontchartrain flood regularity modeling (Model Y), plus other additional sub-models that can be incorporated to land use and mitigation possibilities and demographic and consequence estimations for the New Orleans area. The sub-models aggregate the frequencies expected of floods with their severities also and present their expected costs as a task of their moderation
Q = Flow (m3/sec), f = Unit conversion factor = 1/3.6, C= Runoff coefficient, I= Rainfall intensity (mm/hr), A = Area (km2)
In 1973, Peter J.E. cruse and Rosemary Foord, used the infection of the wound as the measure of the rate of infection on the surgical services ,since the wound is the common denominator of all surgeons.
The inflow into the tank was then graphed to show the Inflow vs. Time, the results obtained had some outliers in the initial negative trend so a linear interpolation of the part of the data set
To start with, the 1st model used is regression line method. According to this method, the technique fits a trend line to a series of historical data point and the projects the line into the future for medium to long range forecasts