Implementação do algoritmo (RTM) para processamento sísmico em arquiteturas não convencionais

With the growth of energy consumption worldwide, conventional reservoirs, the reservoirs called "easy exploration and production" are not meeting the global energy demand. This has led many researchers to develop projects that will address these needs, companies in the oil sector has invested in techniques that helping in locating and drilling wells. One of the techniques employed in oil exploration process is the reverse time migration (RTM), in English, Reverse Time Migration, which is a method of seismic imaging that produces excellent image of the subsurface. It is algorithm based in calculation on the wave equation. RTM is considered one of the most advanced seismic imaging techniques. The economic value of the oil reserves that require RTM to be localized is very high, this means that the development of these algorithms becomes a competitive differentiator for companies seismic processing. But, it requires great computational power, that it still somehow harms its practical success. The objective of this work is to explore the implementation of this algorithm in unconventional architectures, specifically GPUs using the CUDA by making an analysis of the difficulties in developing the same, as well as the performance of the algorithm in the sequential and parallel version

Proposta arquitetônica para o Centro de Treinamento dos Servidores do IFRN com base nos fatores de desempenho energético.

In recent years, as part of the expansion process of its activities, the Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte – IFRN (Federal Institute for Education, Science and Technology of the State of Rio Grande do Norte – IFRN) detected the need to hire more employees for the institution. This expansion process, a policy of the Federal Government, together with the increase of human resources, required the construction of an adequate facility in the municipality of São Gonçalo do Amarante-RN, for training and qualification and as a means of better enabling its personnel. Along with this policy, the Federal Government is also deeply concerned that its buildings be environmentally friendly. This study deals with this subject matter, as it develops an architectural design of a public building with an emphasis upon the reduction of energy consumption, through the study of energy performance factors such as defined by Carneiro (1988) and adapted by the author of the present study. It is known that residential, commercial and public buildings represent about 45 % of energy consumption in Brazil. That is why it is necessary to consider the reduction of such consumption in buildings, as well as the role that professionals, especially architects, play in this issue. The most effective participation in this regard in the field of architecture occurs in the design phase. However, the architectural solution proposed here goes beyond the energy performance factors, since it also involves other aspects, such as the definition of the concept, the parti and the spatial solution itself. In this sense, the architectural project of the Centro de Treinamento dos Servidores do IFRN - CTSIFRN (Training Center for IFRN Personnel – CTSFIRN) is particularly fitting as a subject for research at the Professional Master Program at PPGAU/UFRN, which is devoted to research on architecture, design and the environment.

Implementação do algoritmo (RTM) para processamento sísmico em arquiteturas não convencionais

With the growth of energy consumption worldwide, conventional reservoirs, the reservoirs called "easy exploration and production" are not meeting the global energy demand. This has led many researchers to develop projects that will address these needs, companies in the oil sector has invested in techniques that helping in locating and drilling wells. One of the techniques employed in oil exploration process is the reverse time migration (RTM), in English, Reverse Time Migration, which is a method of seismic imaging that produces excellent image of the subsurface. It is algorithm based in calculation on the wave equation. RTM is considered one of the most advanced seismic imaging techniques. The economic value of the oil reserves that require RTM to be localized is very high, this means that the development of these algorithms becomes a competitive differentiator for companies seismic processing. But, it requires great computational power, that it still somehow harms its practical success. The objective of this work is to explore the implementation of this algorithm in unconventional architectures, specifically GPUs using the CUDA by making an analysis of the difficulties in developing the same, as well as the performance of the algorithm in the sequential and parallel version