Application of derivative free methods for production optimization
- Authors: Bagirov, Adil , Mason, T. L. , Ghosh, Moumita
- Date: 2006
- Type: Text , Journal article
- Relation: Applied and Computational Mathematics Vol. 5, no. 1 (2006), p. 94-105
- Full Text: false
- Reviewed:
- Description: Continuous gas lift is a high value optimization proposition, where high-pressure gas is injected at various depths, into oil production well to lightened the fluid column and so improve production and recovery. Gas lift optimization models as a surrogate for optimization planning, are usually nonconvex and even nonsmooth. Moreover, in many situations the objective and/or constraint functions in these problems are not known analytically. Most of traditional methods of optimization cannot be applied to solve such problems. Derivative free methods seem to be better choice for solving such problems. In this paper, we compare two different derivative free methods, our variant of the discrete gradient method and the generalized descent method for solving nonlinear gas lift optimization problems. We consider two different gas lift optimization problems. The objective functions in these problems are separable, nonsmooth and nonconvex. Although both algorithms produce satisfactory results, however the discrete gradient method better deals with noisy data and produces better results.
- Description: C1
- Description: 2003001714
Integrated production system optimization using global optimization techniques
- Authors: Mason, T. L. , Emelle, C. , Van Berkel, J. , Bagirov, Adil , Kampas, F. , Pinter, J. D.
- Date: 2007
- Type: Text , Journal article
- Relation: Journal of Industrial and Management Optimization Vol. 3, no. 2 (May 2007), p. 257-277
- Full Text:
- Reviewed:
- Description: Many optimization problems related to integrated oil and gas production systems are nonconvex and multimodal. Additionally, apart from the innate nonsmoothness of many optimization problems, nonsmooth functions such as minimum and maximum functions may be used to model flow/pressure controllers and cascade mass in the gas gathering and blending networks. In this paper we study the application of different versions of the derivative free Discrete Gradient Method (DGM) as well as the Lipschitz Global Optimizer (LGO) suite to production optimization in integrated oil and gas production systems and their comparison with various local and global solvers used with the General Algebraic Modeling System (GAMS). Four nonconvex and nonsmooth test cases were constructed from a small but realistic integrated gas production system optimization problem. The derivation of the system of equations for the various test cases is also presented. Results demonstrate that DGM is especially effective for solving nonsmooth optimization problems and its two versions are capable global optimization algorithms. We also demonstrate that LGO solves successfully the presented test (as well as other related real-world) problems.
- Description: C1
- Description: 2003004725