Application of ARX neural networks to model the rate of penetration of petroleum wells drilling

Bit performance prediction has been a challenging problem for the petroleum industry. It is essential in cost reduction associated with well planning and drilling performance prediction, especially when rigs leasing rates tend to follow the projects-demand and barrel-price rises. A methodology to model and predict one of the drilling bit performance evaluator, the Rate of Penetration (ROP), is presented herein. As the parameters affecting the ROP are complex and their relationship not easily modeled, the application of a Neural Network is suggested. In the present work, a dynamic neural network, based on the Auto-Regressive with Extra Input Signals model, or ARX model, is used to approach the ROP modeling problem. The network was applied to a real oil offshore field data set, consisted of information from seven wells drilled with an equal-diameter bit.

Terminologia de contratos de locação de imóveis: estudo terminológico bilíngue e elaboração de glossário Português-Francês

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Análise técnica e econômica da resinagem de Pinus elliottii Engelm. var. elliottii na região de Manduri, SP

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise de rentabilidade e risco na produção de cana-de- açúcar na região norte do Estado de São Paulo sob dois tipos de arranjos contratuais

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Habitação social em centros urbanos consolidados: análise dialógica desde o percurso do projeto ao uso social: São Paulo (Brasil) e Roma (Itália)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Reestruturação e automação de processos: caso de um processo da área de compras e suprimentos de uma empresa brasileira do setor de mídia

Innovation in the field of Information Technology (IT) have made companies evaluate their processes and activity of its supply chain to conform to this new reality. In the supply chain management, one of the tools that revolutionized the activities was the use of management information systems such as ERP tool. This system allows greater integration of data from multiple areas of the enterprise and beyond, giving more activities to processes and activities. This work aims to analyze the results and impacts of the restructuring of an equipment leasing process in a Brazilian media company and verify that the gains and improvements that were targeted in the initial design of this restructuring have been achieved. Also the risks identified with this change will be studied, the reactions of those involved in this process and the performance of the chain as a whole. To carry out this work was carried out a single case study with data collection in the assessed company and literature related to supply chain and information systems