Autor: |
J. Del Rio-H., A. Robles, N. Santamaria, R. Camacho-V., F. Gonzalez-T. |
Rok vydání: |
2003 |
Předmět: |
|
Zdroj: |
All Days. |
DOI: |
10.2118/84050-ms |
Popis: |
This work presents results on the optimization of production systems performance for oil and gas reservoirs. Genetic and Polytope algorithms are used for the nonlinear optimization problem considering appropriate values of several variables like tubing string and wellhead choke diameters, separator pressure and surface pipeline diameter. The model considers several components and different methods to evaluate the pressure drop in each component. The sensitivity of each component of the system can be evaluated. This model includes a mechanistic model to predict the pressure drop due to multiphase flow for any tubing angle with upward and downward flow. The method of splines is used to eliminate the presence of pressure gradient discontinuities in flow pattern boundaries. This property of the model allows us to use optimization algorithms in an efficient manner. Several examples are presented to illustrate the methodology proposed in this work. |
Databáze: |
OpenAIRE |
Externí odkaz: |
|