The Study of Production Decline Curve Based on Particle Swarm Optimization

摘要：

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 highspeed 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.

关键词： Decline curves:Particle swarm algorithm Production forecast Dynamic analysis

作者: Qunhui ZHANG Jiawei TANG

作者单位: Computer Science Xian University of Science and Technology Xian, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 69-72

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）