Application of a hybrid algorithm -PSOSA in well test parameter estimation

Abstract

Estimating the significance parameters, such as skin factor, permeability, wellbore storage coefficient, are the most component of transient pressure analysis. Many optimization algorithms have been applied to parametric estimation and realized the minimum error of well test curve. Although a flexible heuristic particle swarm optimization can hunt optimal solution rapidly, it is difficult to search further in the vicinity of the optimal solution. Hence, to alleviate the local optimum and premature convergence, a global hybrid algorithm referred to as particle swarm simulated annealing is proposed, and proves to have better performance of convergence and accuracy than traditional methods, which are more suitable for parameter estimation.

Keywords

Parametric estimation / Particle swarm simulated annealing / Particle swarm optimization / Simulated annealing / Transient pressure analysis

Acknowledgments

This work was Supported by the scientific research starting project of SWPU (no. 2014QHZ031).

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