智慧型油田定位与数据采集研究  

Research on smart positioning and data acquisition

作　　者：李凤民 郭根旺 贾世宇 

机构地区：[1]中国石油华北油田公司数据中心,河北沧州062552

出　　处：《信息技术》2017年第4期82-84,88,共4页Information Technology

基　　金：国家自然科学基金项目(41104084);中国石油科技创新基金项目(2011D-5006-0303)

摘　　要：针对油田井下环境的特殊属性,无线信号容易受到诸如反射,散射,折射等诸多客观因素的影响,使得传统的油田定位技术的应用受到很大的限制。通过使用油田井下无线信号的传输模型与油田井下分布特点相结合,经过改良后提出了一种信号强度目标识别定位算法,通过使用均值滤波的方法来消除多经效应或遮挡产生的野值点。实验结果表明在1km^2的油田区域内,总体平均定位误差仅为0.84m。该算法能够很好地解决其他定位方法在个别定点上定位误差较大的问题,使得整体定位精度水平提高,从而获得油田井下目标的理想定位结果。The special properties of the downhole environment,such as a wireless signal susceptible to reflection,scattering,refraction and many other objective factors,the application of traditional oilfield positioning technology is greatly restricted. By using downhole transmission model and downhole distribution combined radio signal,after the improved method it proposed a signal intensity targets locating short hair,by using a mean filter method to eliminate outliers diversified effect or block produced. The results show that: in the region in the field,the overall average positioning error is only 0.84 m. This algorithm can solve other targeting methods for targeting large errors in individual point,making the overall level of positioning accuracy improved to achieve the desired goal of positioning the downhole results.

关 键 词：无线定位 空间受限 均值滤波 油田区 

分 类 号：TN832[电子电信—信息与通信工程]