1. Enhanced Hybrid Model for Gas-Lifted Oil Production
- Author
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Faria, Ruan R., Lima, Fernando Arrais R.D., Secchi, Argimiro R., and de Souza, Maurício B.
- Abstract
Gas-lift is a strategy to enhance oil production from oil wells by reducing the hydrostatic pressure of the fluid. Efficient modeling of this process is a key point for the oil and gas industry to maximize oil output while minimizing gas consumption. This study introduces a novel hybrid model for the gas-lift process, using the Universal Differential Equation (UDE) approach. Neural networks replace algebraic equations, trained based on physical laws. The UDE method eliminates dependence on unmeasured variables, enhancing accuracy. Tested with simulated data, the hybrid model outperforms traditional models, demonstrating effective prediction of state variables and Efficient handling of algebraic variables. This approach holds promise for gas-lift process modeling, control, and optimization.
- Published
- 2024
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