| 基于相关向量机的地层可钻性级值预测 |
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| 引用本文： | 马海,王延江,胡睿,魏茂安.基于相关向量机的地层可钻性级值预测[J].中国石油大学学报(自然科学版),2010,34(2). |
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| 作者姓名： | 马海 王延江 胡睿 魏茂安 |
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| 作者单位： | 1. 中国石油大学,信息与控制工程学院,山东,东营,257061
2. 胜利油田,钻井工艺研究院,山东,东营,257017 |
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| 基金项目： | 中国石化科技攻关项目，山东省自然科学基金 |
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| 摘 要： | 对录井资料及测井资料与地层可钻性级值的关系进行分析,提出一种基于相关向量机算法的地层可钻性级值预测的新方法.通过标准化钻速、测井声波时差、地层密度、泥质含量和地层深度进行学习训练相关向量机,建立地层可钻性级值预测的相关向量机模型.对准噶尔盆地部分井的地层可钻性级值进行预测的结果表明,该方法优于BP神经网络方法,具有预测精度高、收敛速度快、推广能力强等优点.
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| 关 键 词： | 地层可钻性 相关向量机 录井资料 测井资料 预测模型 |
Formation drillability prediction based on relevance vector machine |
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| MA Hai,WANG Yan-jiang,HU Rui,WEI Mao-an.Formation drillability prediction based on relevance vector machine[J].Journal of China University of Petroleum,2010,34(2). |
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| Authors: | MA Hai WANG Yan-jiang HU Rui WEI Mao-an |
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| Institution: | MA Hai1,WANG Yan-jiang1,HU Rui2,WEI Mao-an2(1.College of Information , Control Engineering in China University of Petroleum,Dongying 257061,China,2.Drilling Technology Research Institute of Shengli Oilfield,Dongying 257017,China) |
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| Abstract: | The relation between log data,well-log data and formation drillability was analyzed,and a novel method for predicting formation drillability based on relevance vector machine (RVM) was proposed.A prediction model for formation drillability was established using the data of normalized drilling rate,well-log acoustic velocity,formation density,shaliness and formation depth by training the RVM.The proposed method was applied to predict the formation drillability of some wells in Junggar Basin.The results show ... |
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| Keywords: | formation drillability relevance vector machine log data well-log data prediction model |
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