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Compositional Grading in Oil and Gas Reservoirs.

Compositional Grading in Oil and Gas Reservoirs offers instruction, examples, and case studies on how to answer the challenges of modeling a compositional gradient subject. Starting with the basics on PVT analysis, applied thermodynamics, and full derivations of irreversible thermodynamic-based equa...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Esposito, Rogerio Oliveira
Otros Autores: Alij�o, Pedro Henrique Rodrigues, Scilipoti, Jose Antonio, Tavares, Frederico Wanderley
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Saint Louis : Elsevier Science, 2017.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Esposito, Rogerio Oliveira. 
245 1 0 |a Compositional Grading in Oil and Gas Reservoirs. 
264 1 |a Saint Louis :  |b Elsevier Science,  |c 2017. 
300 |a 1 online resource (337 pages) 
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500 |a A.4 Applying the Entropy Equation to Reservoir Simulation. 
505 0 |a 1. Reservoir fluids and PVT analysis -- 2. Phase equilibrium thermodynamics -- 3. Phase equilibrium under the influence of the gravitational field -- 4. Irreversible thermodynamics applied to reservoir engineering -- 5. Classic examples from literature -- 6. Case studies -- 7. The influence of molecular association -- 8. General comments and perspectives. 
520 |a Compositional Grading in Oil and Gas Reservoirs offers instruction, examples, and case studies on how to answer the challenges of modeling a compositional gradient subject. Starting with the basics on PVT analysis, applied thermodynamics, and full derivations of irreversible thermodynamic-based equations, this critical reference explains gravity-modified equations to be applied to reservoirs, enabling engineers to obtain fluid composition at any point of the reservoir from measured data to create a stronger model calibration. Once model-parameters are re-estimated, new sensibility can be acquired for more accurate modeling of composition, aiding engineers with stronger production curves, reserve estimations, and design of future development strategies. Multiple examples and case studies are included to show the application of the theory from very simple to more complex systems, such as actual reservoirs influenced by thermal diffusion and gravity simultaneously. Other example include a layer for which asphaltene precipitation takes place in the reservoir and three -phase flash algorithms for liquid-liquid-vapor equilibrium calculations, detailing the techniques necessary to ensure convergence. The book combines practical studies with the importance in modeling more complex phenomena, filling a gap for current and upcoming reservoir engineers to expand on solutions and make sense of their reservoir's output results. 
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650 0 |a Petroleum  |x Geology. 
650 0 |a Geochemistry. 
650 6 |a R�eservoirs d'hydrocarbures.  |0 (CaQQLa)201-0320223 
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700 1 |a Alij�o, Pedro Henrique Rodrigues. 
700 1 |a Scilipoti, Jose Antonio. 
700 1 |a Tavares, Frederico Wanderley. 
776 0 8 |i Print version:  |a Esposito, Rogerio Oliveira.  |t Compositional Grading in Oil and Gas Reservoirs.  |d Saint Louis : Elsevier Science, �2017  |z 9780128124529 
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880 0 |6 505-00/(S  |a Front Cover; Compositional Grading in Oil and Gas Reservoirs; Copyright Page; Contents; Biography; Prefaces; Acknowledgments; Introduction; References; 1 Reservoir Fluids and PVT Analysis; 1.1 Reservoir Fluids; 1.1.1 "Black Oil"; 1.1.2 Volatile Oil; 1.1.3 Gas Condensate; 1.1.4 Wet Gas; 1.1.5 Dry Gas; 1.2 PVT Analysis and Black Oil Modeling; 1.2.1 Oil Formation Volume Factor (FVF or Bo); 1.2.2 Solubility Ratio (Rs); 1.2.3 Oil Density (ρo); 1.2.4 Oil Viscosity (�o); 1.2.5 Gas Formation Volume Factor (Bg); 1.2.6 Gas Gravity (γg); 1.2.7 Compressibility Factor of the Gas (Z).