The Study of Production Decline Curve Based on Particle Swarm Optimization

Qunhui Zhang, Jiawei Tang
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引用次数: 1

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.
基于粒子群优化的产量递减曲线研究
递减曲线在长期石油产量预测和可采储量计算中有着广泛的应用。油田产量递减分析研究是油田动态分析的重要组成部分。本文基于粒子群算法高效高速的特点,结合油田实际生产情况,采用实际生产时间校正、计算机自动回归等手段,对产量递减模型进行分析求解,使计算过程更加方便,计算结果更加真实。对比实验表明,本文算法精度高、误差小、结果可靠,可有效应用于递减阶段的产量预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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