Dados do Empregador:
Referência da Vaga: NG-2019--FP-P10
País: Nigéria
Empresa / Universidade: Federal University of Petroleum Resources, Effurun
Serviços / Produtos: Research and Development
No de Empregados: 3000+
Local de Trabalho: Effurun, Delta State
Horas Trabalhadas por Semana: 40
Horas Trabalhadas por Dia: 8
Aeroporto Internac. Mais Próximo: Warri Airport or Benin City Airport (BNI)
Transporte Público Mais Próximo:
Perfil do Estudante:
Faculdade: Geology
Faculdade 2: Petroleum Engineering
Faculdade 3:
Faculdade 4:
Outra faculdade: Earth Science
Especialização:
Nível de Estudo: Metade do Curso
Study Level: End - (7 and more semesters), Middle - (4-6 Semesters)
Sexo Permitido:
Experiência anterior requerida:
Outros Requisitos:
Idioma 1: English
Nível de Idiomas: Bom
Idioma 2:
Nível de Idiomas:
Idioma 3:
Nível de Idiomas:
Descritivo da Vaga:
Tipo de Atividade: Integrated Response Surface Design and Decision Support Approach to Optimal Well Sidetrack Under Uncertainty for Reservoir Management Research Objective: The research seeks to establish the optimal time to conduct a sidetrack by considering technical and geological uncertainties based on decision analysis scenarios of likely occurrences of a proposed well sidetrack/completion operation. • properly estimate future cumulative production in time by the proxy-model approach • adopt and come-up with a novel approach to resolve high non-linearity of cumulative oil production performance • set-up and solve objective and multi-objective function based on expected-monetary-value, and • objectively compute probability of success of likely outcomes of the decision tree and set-up decision tree for stacked reservoirs scenario beyond two (2) reservoirs or/and multiple pay zones in a reservoir. Area of Research: Decision/Risk Analysis, Reservoir Engineering, Drilling Engineering Interns Contribution • Development of analytical expressions, optimization study, MS Excel Macros script writing (or Python / MATLAB), design of experiment, and risk analysis. • Reservoir simulation of oil-well sidetrack configurations in a commercial numerical simulation software. • Production forecast with decline curve analysis and material balance to build-up a mathematical expression (semi-analytical expression). Research 2 Title of Research Predictive Modelling of the Impact of Nanoparticles on Drilling Mud Performance under High Pressure and High Temperature Conditions Research Objective The aim of this research is to model the impact of nanoparticles on the performance of water based mud under varying pressure and temperature. The specific objectives to be achieved by this study include: • Experimental evaluation of the effect of nanoparticles on the properties of the prepared drilling mud under varying pressure and temperature • Development of a multivariate model for the rheology which takes into account the effect of temperature, quantity, size and type of nanoparticles • Development of a multivariate model for the fluid loss which takes into account the effect of temperature, quantity, size and type of nanoparticles Research Area Drilling Fluid Technology, Drilling Engineering Interns Contribution • Design of an experimental approach to study the impact of nanoparticles on drilling mud properties taking into account varying temperature and pressure. • Development of temperature dependent rheological and fluid models using basic foundational approach. • Validate the predictions of the models using experimentally derived rheological and fluid loss data.
Semanas oferecidas (mín.): 8
Semanas oferecidas (máx.): 12
Período de: 01/06/2019
até: 31/12/2019
Categoria: Pesquisa e Desenvolvimento
Moeda: NGN - Naira
Bolsa Auxílio: 30.000/month
Pago:
Refeitório na empresa ou vale refeição: S
Deduções Esperadas: 0%
Comentário:
Acomodação:
Será Providenciada Por: IAESTE FUPRE
Custo Estimado de Acomodação: 0
Por:
Custo Estimado de Vida Incluindo Acomodação: 20.000
Por: