计算机工程与应用2017，Vol.53Issue(21)：214-218,5.DOI:10.3778/j.issn.1002-8331.1604-0408
特征聚类在油田测试方案优化中的研究
Research on optimization of oilfield test scheme based on charac-teristic clustering
李洪奇 1张艳丽 2杨景海 1朱丽萍 2赵艳红 3裴建亚1
作者信息
- 1. 中国石油大学 地球物理与信息工程学院,北京 102249
- 2. 中国石油大学 油气数据挖掘北京市重点实验室,北京 102249
- 3. 大庆油田测试技术服务分公司,黑龙江 大庆 163000
- 折叠
摘要
Abstract
Note the oilfield production cross section in the dynamic test in the well election does not have a suitable reference standard issue, the paper proposes a well production division method in accordance with the feature-based clustering and the classification. First, the method selects and processes the well production time series data. And then the characteristic sets are extracted for clustering from time series data. In the end the clustering results develop the oilfield test optimization. Experimental result shows that the characteristics extracted from time series can be a good repre-sentation of the fluctuations in oil production, obtain better classification results and be important for guiding the oilfield test.关键词
特征/聚类和分类/时间序列/油田测试优化Key words
characteristics/clustering and classification/time series/the oilfield test optimization分类
信息技术与安全科学引用本文复制引用
李洪奇,张艳丽,杨景海,朱丽萍,赵艳红,裴建亚..特征聚类在油田测试方案优化中的研究[J].计算机工程与应用,2017,53(21):214-218,5.
