The Neural Network Method of Parameter Recognition for the Horizontal Well Testing

摘要：

The horizontal well is a very complex issue, only two situations considered, which are homogeneous and dual media infinite formation in the paper. According to selforganization, selflearning and adaptive characteristics of neural network, mathematical models built, then BP neural network classifier model constructed in order to recognize horizontal well testing parameters, at last, one example onsite given, has proved that the neural network method of parameter recognition for the horizontal well testing is very significant.

关键词： horizontalwelltesting neuralnetwork parameterrecognitiont

作者: Meng Jiang Hu Ze

作者单位: School of Oil and Gas EngineeringChongqing University of Science and TechnologyChongqing, China Department of Electronic Information Engineering South and West Petroleum Institute Chengdu, China

会议类型: 国际会议

会议名称: 2011 International Conference on Business Management and Electronic Information(2011商业管理与电子信息国际学术会议 BMEI2011)

会议地点: 广州

会议语种:英文

页码: 1-4

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）