|
[1]
|
于代国,孙建孟,张振城,等.支持向量机方法识别储集层流体性质[J].新疆石油地质,2005,26(6):675-677. Yu Daiguo,Sun Jianmeng,Zhang Zhencheng,et al.Reservoir fluid property identification with support vector machine method[J].Xinjiang Petroleum Geology,2005,26(6):675-677.
|
|
[2]
|
魏茂安,马海,孙正义,等.基于支持向量机的虚拟测井声波速度重构技术研究[J].石油钻探技术,2006,34(6):83-87. Wei Maoan,Ma Hai,Sun Zhengyi,et al.The reconstruction of the virtual well-log acoustic velocity technology based on support vector machine[J].Petroleum Drilling Techniques,2006,34(6):83-87.
|
|
[3]
|
肖京男,汪志明,魏建光,等.改进LSSVM在水平井产能预测中的应用[J].石油钻探技术,2010,38(6):95-98. Xiao Jingnan,Wang Zhiming,Wei Jianguang,et al.Application of LSSVM improved horizontal well productivity prediction[J].Petroleum Drilling Techniques,2010,38(6):95-98.
|
|
[4]
|
陈民锋,白晓虎,郑伟,等.基于支持向量机的早期聚合物驱动态预测研究[J].断块油气田,2012,19(2):199-202. Chen Mingfeng,Bai Xiaohu,Zheng Wei,et al.Development index prediction of early polymer flooding based on support vector machine [J].Fault-Block Oil Gas Field,2012,19(2):199-202.
|
|
[5]
|
朱怡翔,石广仁.火山岩岩性的支持向量机识别[J].石油学报,2013,34(2):312-322. Zhu Yixiang,Shi Guangren.Identification of lithologic characteristics of volcanic rocks by support vector machine[J].Acta Petrolei Sinica,2013,34(2):312-322.
|
|
[6]
|
钟仪华,李榕.基于主成分分析的最小二乘支持向量机岩性识别方法[J].测井技术,2009,33(5):425-429. Zhong Yihua,Li Rong.Application of principal component analysis and least square support vector machine to lithology identification[J].Well Logging Technology,2009,33(5):425-429.
|
|
[7]
|
韩学辉,卢时林,支乐菲,等.应用最小二乘支持向量机识别J13井区杜家台油层岩性[J].特种油气藏,2011,18(6):18-21. Han Xuehui,Lu Shilin,Zhi Lefei,et al.Identification of the lithology of Dujiatai Formation in J13 Well Block with least squares support vector machine[J].Special Oil Gas Reservoirs,2011,18(6):18-21.
|
|
[8]
|
韩学辉,支乐菲,刘荣,等.应用最小二乘支持向量机识别广利油田沙四段储层岩性[J].地球物理学进展,2013,28(4):1886-1892. Han Xuehui,Zhi Lefei,Liu Rong,et al.A lithologic identification method in Es4 reservoir of Guangli Oilfield with least square support vector machine[J].Progress in Geophysics,2013,28(4):1886-1892.
|
|
[9]
|
Vapnik V.The nature of statistical learning theory[M].2nd ed.NY:Springer-Verlag,1999:21-36.
|
|
[10]
|
白鹏,张喜斌,张斌,等.支持向量机理论及工程应用实例[M].西安:西安电子科技大学出版社,2008:32-35. Bai Peng,Zhang Xibin,Zhang Bin,et al.Support vector machine and its application in mixed gas infrared spectrum analysis[M].Xi’an:Xidian University Press,2008:32-35.
|
|
[11]
|
邓乃扬,田英杰.数据挖掘中的新方法:支持向量机[M].北京:科学出版社,2004:236-243. Deng Naiyang,Tian Yingjie.Data mining in the new method:the study of support vector machine[M].Beijing:Science Press,2004:236-243.
|
|
[12]
|
Suykens J A K,Vandewalle J.Least squares support vector machine classifiers[J].Neural Processing Letters,1999,9(3):293-300.
|
|
[13]
|
Suykens J A K,Gestel T V,Brabanter J D,et al.Least squares support vector machines[M].Singapore:World Scientific Publishing,2002:79-93.
|
|
[14]
|
宋延杰,张剑风,闫伟林,等.基于支持向量机的复杂岩性测井识别方法[J].大庆石油学院学报,2007,31(5):18-20. Song Yanjie,Zhang Jianfeng,Yan Weilin,et al.A new identification method for complex lithology with support vector machine[J].Journal of Daqing Petroleum Institute,2007,31(5):18-20.
|
|
[15]
|
周继宏,袁瑞.基于支持向量机的复杂碎屑岩储层岩性识别[J].石油天然气学报,2012,34(7):72-75. Zhou Jihong,Yuan Rui.Identifying complex lithology of clastic rocks reservoir by support vector machines[J].Journal of Oil and Gas Technology,2012,34(7):72-75.
|
|
[16]
|
肖冬生,乔东生.低阻油层识别新方法及其应用[J].断块油气田,2010,17(4):509-512. Xiao Dongsheng,Qiao Dongsheng.New method for identifying low resistivity reservoirs and its application[J].Fault-Block Oil Gas Field,2010,17(4):509-512.
|
|
[17]
|
张莹,潘保芝.支持向量机与微电阻率成像测井识别火山岩岩性[J].物探与化探,2011,35(5):634-638. Zhang Ying,Pan Baozhi.The application of SVM and FMI to the lithologic identification of volcanic rocks[J].Geophysical Geochemical Exploration,2011,35(5):634-638.
|
点击查看大图
下载:
京公网安备 11010502036328号 