Research and Application of Oilfield Production Management Information System Based on Data Mining Technique

摘要：

The technology of Data Mining is widely used in many areas, but its application in the oil field production management information system has not been found. This paper presents a novel method based on improved rough sets and neural network for the management of oil field production. Applying rough set can reduce data of forecast oilfield, But It was interfered by noise data, the neural networks algorithm can make up rough set deficiency fitly, Simplify rough set as the input of BP neural network system. By combining the two methods in ZhongYuan oilfield production system. Results show that the new method can get a better result than general methods.

关键词： Data mining Rough sets Neural network

作者: Li Zhu Zhonghua Xu Jun Wang

作者单位: the School of Computer, China University of Geosciences, Wuhan, Hubei, 430074, China

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）