聚类分析在井下燃爆判别中的应用
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摘要
聚类分析是一种在安全分析领域应用广泛的多元统计方法,其在安全评价、监测、分析中使用效果显著。将井下燃爆类型判别抽象为一个数学分类问题,应用聚类分析的方法来进行分类,对聚类分析在井下燃爆判别中的应用方法进行了研究,提出了一种现场测试数据处理的标准化原则,并应用系统聚类分析方法对川东北地区某井的现场测试数据进行了分析计算。应用最短距离法、最长距离法、中间距离法、重心法、类平均法、离差平方和法多种聚类准则得出的结果高度一致,并与现场判别软件的判别结果一致,证实了该方法的有效性。该方法减少了数据冗余,原理清晰,计算简单,其结论客观,符合现场情况。
Clustering analysis is a multivariate statistical method widely used in the field of security analysis in recent years.Its effect is remarkable in safety evaluation,monitoring and analysis.The type of explosion discrimination was regarded as a mathematical classification,and clustering analysis was used to classify the explosion with statistical ways.This paper proposed a standardized principle of processing field test data,and applied system clustering method to analyze and calculate the field data of a well in Northeast Sichuan area.The results are consistent with the multi-clustering principle,including shortest-distance method,longest-distance method,mid-distance method,barycenter method,deviation average method and sum of deviation square method,and consistent with the results of distinguishing software used in wellsite.The effectiveness of this method was proved,and it reduced the data redundancy.The principle is clear,and the computation is simple.The conclusion is in accordance with the field condition.
Clustering analysis is a multivariate statistical method widely used in the field of security analysis in recent years.Its effect is remarkable in safety evaluation,monitoring and analysis.The type of explosion discrimination was regarded as a mathematical classification,and clustering analysis was used to classify the explosion with statistical ways.This paper proposed a standardized principle of processing field test data,and applied system clustering method to analyze and calculate the field data of a well in Northeast Sichuan area.The results are consistent with the multi-clustering principle,including shortest-distance method,longest-distance method,mid-distance method,barycenter method,deviation average method and sum of deviation square method,and consistent with the results of distinguishing software used in wellsite.The effectiveness of this method was proved,and it reduced the data redundancy.The principle is clear,and the computation is simple.The conclusion is in accordance with the field condition.
引文
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[9]鲍艳,胡振琪,柏玉,等.主成分聚类分析在土地利用生态安全评价中的应用[J].农业工程学报,2006,22(8):87-90.Bao Yan,Hu Zhenqi,Bai Yu,et al.Application of principalcomponent analysis and cluster analysis to evaluating ecologicalsafety of land use[J].Transactions of the Chinese Society ofAgricultural Engineering,2006,22(8):87-90.
[2]高惠璇.应用多元统计分析[M].北京:北京大学出版社,2005:217-264.Gao Huixuan.Application of multivariate statistical analysis[M].Beijing:Peking University Press,2005:217-264.
[3]方开泰.聚类分析[M].北京:地震出版社,1980:28-95.Fang Kaitai.Cluster analysis[M].Beijing:Earthquake Press,1980:28-95.
[4]Johnson R A,Wichern D W.实用多元统计分析[M].陆璇,葛余博,赵衡秀,等译.4版.北京:清华大学出版社,2001:545-589.Johnson R A,Wichern D W.Applied multivariate statistical a-nalysis[M].Traslator:Lu Xuan,Ge Yubo,Zhao Hengxiu,et al.4th ed.Beijing:Tsinghua University Press,2001:545-589.
[5]刘舒野.模糊聚类分析方法在油藏分类中的应用研究[D].吉林长春:东北师范大学计算机科学与信息技术学院,2007:30.Liu Shuye.The application research of fuzzy cluster analysismethodin reservoir classification[D].Jilin Changchun:North-east Normal University,Depart mant of Compurer Science,2007:30.
[6]纪荣艺,樊洪海,杨雄文,等.测井曲线自动分层模型设计与实现[J].石油钻探技术,2007,35(2):24-27.Ji Rongyi,Fan Honghai,Yang Xiongwen,et al.Design and ap-plication of well log curves automatic sorting in layers.[J]Pe-troleum Drilling Techniques,2007,35(2):24-27.
[7]修中标,魏廷双,李彬,等.聚类分析在矿井水源判别中的应用[J].煤矿安全,2008,39(2):47-49.Xiu Zhongbiao,Wei Tingshuang,Li Bin,et al.Application ofcluster analysis to mine water source discri mination[J].Safetyin Coal Mines,2008,39(2):47-49.
[8]冯靓,陈一健,张昆,等.空气钻井井下燃爆监测系统[J].石油机械,2007,35(5):35-37,40.Feng Liang,Chen Yijian,Zhang Kun,et al.The borehole moni-tor system of air drilling[J].China Petroleum Machinery,2007,35(5):35-37,40.
[9]鲍艳,胡振琪,柏玉,等.主成分聚类分析在土地利用生态安全评价中的应用[J].农业工程学报,2006,22(8):87-90.Bao Yan,Hu Zhenqi,Bai Yu,et al.Application of principalcomponent analysis and cluster analysis to evaluating ecologicalsafety of land use[J].Transactions of the Chinese Society ofAgricultural Engineering,2006,22(8):87-90.
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