数据挖掘理论及应用研究

Theory and application of data mining

李　华 刘　帅 李　茂 刘双琪

中海石油（中国）有限公司湛江分公司，广东　湛江　524057

Zhanjiang Company, CNOOC, Zhanjiang 524057, China

数据挖掘技术作为一项新兴技术，在许多领域都取得了成功应用。其目的是在大量数据中进行模式识别，提取有用的知识。文中着重从灰色关联理论入手，基于灰色关联法在检泵周期、检泵作业总费用、凝析气井产能预测及各影响因素的权重等方面的应用，建立规律模型，得出相应规律，从而形成相关研究路线。研究证实了灰色关联法在油气田开发领域的科学性及实用性，对指导油田的生产具有重要的指导意义。由于数据挖掘本身独有的理念，给人们处理、解决各类问题提供了一种新的思路和方法，因此，数据挖掘在一定程度上等同于一种方法论，在未来的一段时期里必将对人类生产、生活产生重大影响。

 As a new technology, data mining has been successfully applied in many areas. The purpose is to recognize simulation and extract useful knowledge in large amounts of data. The paper put emphasis on gray relation analysis based on the application of gray relation analysis on pump overhaul period, expense of pump inspection and deliverability forecasting of condensate gas well, as well as the weight of affecting factors. Models were set up, the related rules were gained and the path of research was formed. Scientificalness and practicability of gray relation analysis were confirmed in oil and gas development areas, which will play a significant role in guiding field production. Having particular idea, data mining offered a new ideology and means to solve various problems. So data mining equals a sort of methodology in a certain extent and will bring significant influence to the working and living of people in the following period.