油田开发数据挖掘技术的实现与应用The Implementation and Application of Oilfield Development Data Mining Technique
吴树鹏,熊华平
WU Shu-peng; XIONG Hua-ping ( Exploration and Development Research Institute of Daqing Oilfield Company Ltd.;
摘要(Abstract)：
油田开发数据挖掘应用系统可以充分利用油田开发数据仓库中存储的多种数据 ,分析和挖掘与油田企业生产经营密切相关的信息 ,帮助油田生产经营者进行经营决策 ,从而提高企业的生产经营水平。以油田开发指标分析和剩余油预测为实例 ,介绍了数据挖掘的技术实现 ,描述了数据挖掘的算法。采用CORBA机制构建了客户端、应用服务器和数据服务器的三层结构 ,开发了油田开发指标分析和剩余油分布预测工具。在大庆喇嘛甸油田开发指标分析应用中 ,通过利用开发指标分析工具分析了影响油田产量、含水等各方面的原因 ,完成了油田可采储量的标定 ,准确预测了油田后期的生产潜力 ,取得了明显的应用效果。在杏北油田 ,以 4口检查井的小层资料为样本 ,利用神经网络数据挖掘工具进行了预测剩余油饱和度的试验 ,结果也达到了精度要求。
Oilfield development data mining and application system can fully utilize various data which stored in oilfield development data warehouse.Analyzing and excavating information which is closely related with oilfield enterprise production and management helps oilfield producer and manager to manage or make police, thereby improve enterprise production and management standards.This paper introduces technical realization of data mining and describes algorithm of data mining in which take oilfield development index analysis and remaining oil forecast for example. This application system has achieved good results applied in Lamadian Oilfield development index analysis, and has also meet the precision requirements in the examination that use neural network data mining tool to forecast residual oil saturation in 4 oil producing wells of Daqing Oilfield.
关键词(KeyWords)：
数据挖掘;神经网络;指标分析;剩余油
data mining;neural network;index analysis;remaining oil
基金项目(Foundation):
作者(Authors):
吴树鹏,熊华平
WU Shu-peng; XIONG Hua-ping ( Exploration and Development Research Institute of Daqing Oilfield Company Ltd.;