3 resultados para restriction of parameter space
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
This study aims at solidifying the theoretical bases to provide, above all, an explanation for this phenomenon which currently happens, with a scenario of social, political, economic and cultural transformations worldwide in medium cities. Nevertheless, because it has different dimensions from its transformation axes, gentrification comes with change, but also with the introduction of a new purpose in the space using and occupation, outlining in this context the identity of places from the formation of centralities with the presence of flows with social and economic dynamicsThe current forms of geographic space appropriation show the directions of the senses and ideological profile which recreates the meanings and uses of content and materials from descriptions of a historical past. However, today there is an economic context in the urban space which refers to a search of strategies for change, i.e., the acquisition of parameter aimed at meeting the demands of the relationship between capital and labor, which ends up overriding some actions for the specification of the transformation methods within the urban space to be explained by new needs and also by the agents from the value adding to their interests and investments. Thus, we assume that the appreciation/gentrification of urban spaces may or may not result from the building of a public space, since the dialogic structure as a place of political interaction externalize conflicts and disagreements in general; it keeps segregating spaces. As new spaces are transformed, the access to them tends to happen with particular restriction, whereas some places like parks, shopping malls, high-rise and horizontal condos are the scene for major professional and family events. In this context, the gentrification process is used to designate interventions in the urban environment, in certain city spaces which are considered central to public and private investments. A historical place is permitted to be presented as a scenario, a stage full of attractions, through the transformation process. Studying gentrification consists of an analysis of the underlying interests in the transformation of these areas, and especially of the assessment of the interest level in the private sector to partner in order to modify the landscape. Gentrification results from the transformation processes of capital, which influences the efforts and investments application in order to establish and achieve optimal economic growth, focusing on a location socio-culturally centered in the urban space. Thus, the urban social structure develops in the light of some questions that relate not only the cities growth but also environmental conditions it provides in cities like Mossoro, State of Rio Grande do Norte, Brazil 2005 a 2011.
Resumo:
This study aims at solidifying the theoretical bases to provide, above all, an explanation for this phenomenon which currently happens, with a scenario of social, political, economic and cultural transformations worldwide in medium cities. Nevertheless, because it has different dimensions from its transformation axes, gentrification comes with change, but also with the introduction of a new purpose in the space using and occupation, outlining in this context the identity of places from the formation of centralities with the presence of flows with social and economic dynamicsThe current forms of geographic space appropriation show the directions of the senses and ideological profile which recreates the meanings and uses of content and materials from descriptions of a historical past. However, today there is an economic context in the urban space which refers to a search of strategies for change, i.e., the acquisition of parameter aimed at meeting the demands of the relationship between capital and labor, which ends up overriding some actions for the specification of the transformation methods within the urban space to be explained by new needs and also by the agents from the value adding to their interests and investments. Thus, we assume that the appreciation/gentrification of urban spaces may or may not result from the building of a public space, since the dialogic structure as a place of political interaction externalize conflicts and disagreements in general; it keeps segregating spaces. As new spaces are transformed, the access to them tends to happen with particular restriction, whereas some places like parks, shopping malls, high-rise and horizontal condos are the scene for major professional and family events. In this context, the gentrification process is used to designate interventions in the urban environment, in certain city spaces which are considered central to public and private investments. A historical place is permitted to be presented as a scenario, a stage full of attractions, through the transformation process. Studying gentrification consists of an analysis of the underlying interests in the transformation of these areas, and especially of the assessment of the interest level in the private sector to partner in order to modify the landscape. Gentrification results from the transformation processes of capital, which influences the efforts and investments application in order to establish and achieve optimal economic growth, focusing on a location socio-culturally centered in the urban space. Thus, the urban social structure develops in the light of some questions that relate not only the cities growth but also environmental conditions it provides in cities like Mossoro, State of Rio Grande do Norte, Brazil 2005 a 2011.
Resumo:
The history match procedure in an oil reservoir is of paramount importance in order to obtain a characterization of the reservoir parameters (statics and dynamics) that implicates in a predict production more perfected. Throughout this process one can find reservoir model parameters which are able to reproduce the behaviour of a real reservoir.Thus, this reservoir model may be used to predict production and can aid the oil file management. During the history match procedure the reservoir model parameters are modified and for every new set of reservoir model parameters found, a fluid flow simulation is performed so that it is possible to evaluate weather or not this new set of parameters reproduces the observations in the actual reservoir. The reservoir is said to be matched when the discrepancies between the model predictions and the observations of the real reservoir are below a certain tolerance. The determination of the model parameters via history matching requires the minimisation of an objective function (difference between the observed and simulated productions according to a chosen norm) in a parameter space populated by many local minima. In other words, more than one set of reservoir model parameters fits the observation. With respect to the non-uniqueness of the solution, the inverse problem associated to history match is ill-posed. In order to reduce this ambiguity, it is necessary to incorporate a priori information and constraints in the model reservoir parameters to be determined. In this dissertation, the regularization of the inverse problem associated to the history match was performed via the introduction of a smoothness constraint in the following parameter: permeability and porosity. This constraint has geological bias of asserting that these two properties smoothly vary in space. In this sense, it is necessary to find the right relative weight of this constrain in the objective function that stabilizes the inversion and yet, introduces minimum bias. A sequential search method called COMPLEX was used to find the reservoir model parameters that best reproduce the observations of a semi-synthetic model. This method does not require the usage of derivatives when searching for the minimum of the objective function. Here, it is shown that the judicious introduction of the smoothness constraint in the objective function formulation reduces the associated ambiguity and introduces minimum bias in the estimates of permeability and porosity of the semi-synthetic reservoir model