Title :
The Study of Production Decline Curve Based on Particle Swarm Optimization
Author :
Qunhui Zhang ; Jiawei Tang
Author_Institution :
Comput. Sci., Xi´an Univ. of Sci. & Technol., Xi´an, China
Abstract :
Decline curve is widely used in long term oil production forecast and recoverable reserves calculation. Oil field production decline analysis research is an important parts of oil field dynamic analysis. This paper analyzed and solved the production decline model, based on the high efficiency and high-speed of particle swarm algorithm, and combining the actual production of oil field, taking practical production time correction, computer automatic regression, and other means to making the calculation process more convenient, calculation results more realistic. Contrast experiment shows that the algorithm in this paper have high precision, small error, reliable result, can effectively applied to the production prediction in declining stage.
Keywords :
forecasting theory; oil technology; particle swarm optimisation; petroleum industry; production management; regression analysis; computer automatic regression; oil field dynamic analysis; oil field production decline analysis research; oil production forecast calculation; oil recoverable reserves calculation; particle swarm optimization; production decline curve; production time correction; Algorithm design and analysis; Computers; Equations; Mathematical model; Particle swarm optimization; Prediction algorithms; Production; Decline curves; Dynamic analysis; Particle swarm algorithm; Production forecast;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.26