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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

A Comprehensive Evaluation of Reservoir Inflow and Wellbore Behavior in Intelligent Wells

Zarea, Marwan Annas H. 2010 August 1900 (has links)
Intelligent well technology is a relatively new technology that has been adopted by many operators in recent years to improve oil and gas recovery. Because of its complexity, accurate modeling of the reservoir and wellbore performance in the multilateral well application is critical to optimize well production. Little work has been performed on understanding the flow behavior through the main component of the intelligent well, the inflow control valve. This study presents a comprehensive model to quantify the reservoir and well performance in the horizontal laterals of the intelligent multilateral well. Moreover, it combines this model with equations to evaluate the flow rate and pressure profile through the inflow control valves. As a result of this study, the well performance of intelligent wells can be predicted and optimized.
2

Método de otimização assitido para comparação entre poços convencionais e inteligentes considerando incertezas / Assited optimization method for comparison between conventional and intelligent wells considering uncertainties

Pinto, Marcio Augusto Sampaio, 1977- 11 April 2013 (has links)
Orientador: Denis José Schiozer / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica e Instituto de Geociências / Made available in DSpace on 2018-08-24T00:34:10Z (GMT). No. of bitstreams: 1 Pinto_MarcioAugustoSampaio_D.pdf: 5097853 bytes, checksum: bc8b7f6300987de2beb9a57c26ad806a (MD5) Previous issue date: 2013 / Resumo: Neste trabalho, um método de otimização assistido é proposto para estabelecer uma comparação refinada entre poços convencionais e inteligentes, considerando incertezas geológicas e econômicas. Para isto é apresentada uma metodologia dividida em quatro etapas: (1) representação e operação dos poços no simulador; (2) otimização das camadas/ou blocos completados nos poços convencionais e do número e posicionamento das válvulas nos poços inteligentes; (3) otimização da operação dos poços convencionais e das válvulas nos poços inteligentes, através de um método híbrido de otimização, composto pelo algoritmo genético rápido, para realizar a otimização global, e pelo método de gradiente conjugado, para realizar a otimização local; (4) uma análise de decisão considerando os resultados de todos os cenários geológicos e econômicos. Esta metodologia foi validada em modelos de reservatórios mais simples e com configuração de poços verticais do tipo five-spot, para em seguida ser aplicada em modelos de reservatórios mais complexos, com quatro poços produtores e quatro injetores, todos horizontais. Os resultados mostram uma clara diferença ao aplicar a metodologia proposta para estabelecer a comparação entre os dois tipos de poços. Apresenta também a comparação entre os resultados dos poços inteligentes com três tipos de controle, o reativo e mais duas formas de controle proativo. Os resultados mostram, para os casos utilizados nesta tese, uma ampla vantagem em se utilizar pelo menos uma das formas de controle proativo, ao aumentar a recuperação de óleo e VPL, reduzindo a produção e injeção de água na maioria dos casos / Abstract: In this work, an assisted optimization method is proposed to establish a refined comparison between conventional and intelligent wells, considering geological and economic uncertainties. For this, it is presented a methodology divided into four steps: (1) representation and operation of wells in the simulator, (2) optimization of the layers /blocks with completion in conventional wells and the number and placement of the valves in intelligent wells; (3) optimization of the operation of the conventional and valves in the intelligent, through a hybrid optimization method, comprising by fast genetic algorithm, to perform global optimization, and the conjugate gradient method, to perform local optimization; (4) decision analysis considering the results of all geological and economic scenarios. This method was validated in simple reservoir models and configuration of vertical wells with five-spot type, and then applied to a more complex reservoir model, with four producers and four injectors wells, all horizontal. The results show a clear difference in applying the proposed methodology to establish a comparison between the two types of wells. It also shows the comparison between the results of intelligent wells with three types of control, reactive and two ways of proactive control. The results show, for the cases used in this work, a large advantage to use intelligent wells with at least one form of proactive control, to enhance oil recovery and NPV, reducing water production and injection in most cases / Doutorado / Reservatórios e Gestão / Doutor em Ciências e Engenharia de Petróleo

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