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Previous issue date: 2014-06-16 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / 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 / Com o crescimento do consumo energ?tico em todo o mundo, os reservat?rios
convencionais, chamados de reservat?rios de f?cil explora??o e produ??o n?o est?o
atendendo a demanda energ?tica mundial. Isso tem levado muitos pesquisadores a
desenvolver trabalhos que venham sanar essas car?ncias. Empresas do setor petrol?fero tem
investido em t?cnicas que ajudem na localiza??o e perfura??o de po?os. Uma das t?cnicas
empregadas no processo de explora??o de petr?leo ? a Migra??o Reversa no Tempo (RTM),
do ingl?s, Reverse Time Migration, que ? um m?todo de imageamento s?smico que produz
excelente imagem de subsuperf?cie. ? um algoritmo baseado no c?lculo da equa??o de onda.
A RTM ? considerada uma das t?cnicas mais avan?adas de imageamento s?smico. O valor
econ?mico das reservas de petr?leo que requerem RTM para ser localizada ? muito alto, isso
significa que o desenvolvimento desses algoritmos torna-se um diferencial competitivo para
as empresas de processamento s?smico. No entanto, o mesmo requer grande poder
computacional que, de alguma forma, ainda prejudica o seu sucesso pr?tico. Assim, o objetivo
deste trabalho ? explorar a implementa??o desse algoritmo em arquiteturas n?o
convencionais, especificamente as GPUs, utilizando a plataforma CUDA, fazendo uma
an?lise das dificuldades no desenvolvimento do mesmo, bem como a performance do
algoritmo na vers?o sequencial e paralela
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/13004 |
| Date | 16 June 2014 |
| Creators | Lima, Igo Pedro de |
| Contributors | CPF:04295882755, http://lattes.cnpq.br/1995273890709490, Corso, Gilberto, CPF:36990485000, http://lattes.cnpq.br/0274040885278760, Henriques, Marcos Vin?cius C?ndido, CPF:00978165403, http://lattes.cnpq.br/7414109374510547, Mohan, Madras Viswanathan Gandhi |
| Publisher | Universidade Federal do Rio Grande do Norte, Programa de P?s-Gradua??o em Ci?ncia e Engenharia do Petr?leo, UFRN, BR, Pesquisa e Desenvolvimento em Ci?ncia e Engenharia de Petr?leo |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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